Installed R Statistical Software Packages (Ubuntu 24.04)
This table lists all R pre-installed packages that are immediately available in every CoCalc project running on the default "Ubuntu 24.04" image, along with their version numbers. If something is missing, you can install it yourself, or request that we install them.
Learn more about R functionality in CoCalc.
Available Environments
- R Project:
The "official" R distribution from the R Project, installed system-wide.
R version 4.4.2 (2024-10-31) -- "Pile of Leaves" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under the terms of the GNU General Public License versions 2 or 3. For more information about these matters see https://www.gnu.org/licenses/.
Showing 16943 libraries
| Library | R Project |
|---|---|
A3 Accurate, Adaptable, and Accessible Error Metrics for Predictive Models | 1.0.0 |
a4Core | 1.54.0 |
AalenJohansen Conditional Aalen-Johansen Estimation | 1.0 |
AATtools Reliability and Scoring Routines for the Approach-Avoidance Task | 0.0.3 |
ABACUS Apps Based Activities for Communicating and Understanding Statistics | 1.0.0 |
abasequence Coding 'ABA' Patterns for Sequence Data | 0.1.0 |
abbreviate Readable String Abbreviation | 0.1 |
abc Tools for Approximate Bayesian Computation (ABC) | 2.2.2 |
abc.data Data Only: Tools for Approximate Bayesian Computation (ABC) | 1.1 |
ABC.RAP Array Based CpG Region Analysis Pipeline | 0.9.0 |
ABCanalysis Computed ABC Analysis | 1.2.1 |
abclass Angle-Based Large-Margin Classifiers | 0.4.0 |
ABCoptim Implementation of Artificial Bee Colony (ABC) Optimization | 0.15.0 |
ABCp2 Approximate Bayesian Computational Model for Estimating P2 | 1.2 |
abcrf Approximate Bayesian Computation via Random Forests | 1.9 |
abcrlda Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis | 1.0.3 |
abctools Tools for ABC Analyses | 1.1.7 |
abd The Analysis of Biological Data | 0.2-8 |
abdiv Alpha and Beta Diversity Measures | 0.2.0 |
abe Augmented Backward Elimination | 3.0.1 |
aberrance Detect Aberrant Behavior in Test Data | 0.1.1 |
abess Fast Best Subset Selection | 0.4.9 |
abglasso Adaptive Bayesian Graphical Lasso | 0.1.1 |
ABHgenotypeR Easy Visualization of ABH Genotypes | 1.0.1 |
abima Adaptive Bootstrap Inference for Mediation Analysis with Enhanced Statistical Power | 1.1 |
abind Combine Multidimensional Arrays | 1.4-8 |
abjData Databases Used Routinely by the Brazilian Jurimetrics Association | 1.1.2 |
abjutils Useful Tools for Jurimetrical Analysis Used by the Brazilian Jurimetrics Association | 0.3.2 |
ablasso Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models | 1.0 |
ABM Agent Based Model Simulation Framework | 0.4.1 |
abmR Agent-Based Models in R | 1.0.10 |
abn Modelling Multivariate Data with Additive Bayesian Networks | 3.1.1 |
abnormality Measure a Subject's Abnormality with Respect to a Reference Population | 0.1.0 |
abodOutlier Angle-Based Outlier Detection | 0.1 |
ABPS The Abnormal Blood Profile Score to Detect Blood Doping | 0.3 |
ABRSQOL Quality-of-Life Solver for "Measuring Quality of Life under Spatial Frictions" | 1.0.0 |
abseil 'C++' Header Files from 'Abseil' | 2023.8.2.1 |
absorber Variable Selection in Nonparametric Models using B-Splines | 1.0 |
abstr R Interface to the A/B Street Transport System Simulation Software | 0.4.1 |
abstractr An R-Shiny Application for Creating Visual Abstracts | 0.1.0 |
ABSurvTDC Survival Analysis using Time Dependent Covariate for Animal Breeding | 0.1.0 |
abtest Bayesian A/B Testing | 1.0.1 |
abundant High-Dimensional Principal Fitted Components and Abundant Regression | 1.2 |
Ac3net Inferring Directional Conservative Causal Core Gene Networks | 1.2.2 |
ACA Abrupt Change-Point or Aberration Detection in Point Series | 1.1 |
AcademicThemes Colour Plots with Palettes from Academic Institutions | 0.0.2 |
academictwitteR Access the Twitter Academic Research Product Track V2 API Endpoint | 0.3.1 |
acc Exploring Accelerometer Data | 1.3.3 |
acca A Canonical Correlation Analysis with Inferential Guaranties | 0.2 |
accelerometry Functions for Processing Accelerometer Data | 3.1.2 |
accelmissing Missing Value Imputation for Accelerometer Data | 1.4 |
AccelStab Accelerated Stability Kinetic Modelling | 2.0.2 |
accept The Acute COPD Exacerbation Prediction Tool (ACCEPT) | 1.0.0 |
AcceptanceSampling Creation and Evaluation of Acceptance Sampling Plans | 1.0-10 |
AcceptReject Acceptance-Rejection Method for Generating Pseudo-Random Observations | 0.1.2 |
accessibility Transport Accessibility Measures | 1.4.0 |
accessr Command Line Tools to Produce Accessible Documents using 'R Markdown' | 1.0.1 |
accessrmd Improving the Accessibility of 'rmarkdown' Documents | 1.0.0 |
accrual Bayesian Accrual Prediction | 1.4 |
accrualPlot Accrual Plots and Predictions for Clinical Trials | 1.0.7 |
accSDA Accelerated Sparse Discriminant Analysis | 1.1.3 |
accucor Natural Abundance Correction of Mass Spectrometer Data | 0.3.1 |
accumulate Split-Apply-Combine with Dynamic Groups | 0.9.3 |
acdcquery Query the Attentional Control Data Collection | 1.0.1 |
acdcR Agro-Climatic Data by County | 1.0.0 |
ACDm Tools for Autoregressive Conditional Duration Models | 1.0.4.3 |
ACE.CoCo Analysis of Correlated High-Dimensional Expression (ACE) Data | 0.1 |
ace2fastq ACE File to FASTQ Converter | 0.6.0 |
acebayes Optimal Bayesian Experimental Design using the ACE Algorithm | 1.10 |
aceEditor The 'Ace' Editor as a HTML Widget | 1.0.1 |
ACEP Analisis Computacional de Eventos de Protesta | 0.0.22 |
acepack ACE and AVAS for Selecting Multiple Regression Transformations | 1.4.2 |
ACEsearch 'ACE' Search Engine API | 1.0.0 |
ACEsimFit ACE Kin Pair Data Simulations and Model Fitting | 0.0.0.9 |
ACEt Estimating Dynamic Heritability and Twin Model Comparison | 1.9.0 |
acfMPeriod Robust Estimation of the ACF from the M-Periodogram | 1.0.0 |
Achilles Achilles Data Source Characterization | 1.7.2 |
acid Analysing Conditional Income Distributions | 1.1 |
acled.api Automated Retrieval of ACLED Conflict Event Data | 1.1.8 |
ACNE Affymetrix SNP Probe-Summarization using Non-Negative Matrix Factorization | 0.9.1 |
acnr Annotated Copy-Number Regions | 1.0.0 |
acopula Modelling Dependence with Multivariate Archimax (or any User-Defined Continuous) Copulas | 0.9.4 |
acoRn Exclusion-Based Parentage Assignment Using Multilocus Genotype Data | 0.1.0 |
AcousticNDLCodeR Coding Sound Files for Use with NDL | 1.0.2 |
acp Autoregressive Conditional Poisson | 2.1 |
acro A Tool for Automating the Statistical Disclosure Control of Research Outputs | 0.1.3 |
acroname Engine for Acronyms and Initialisms | 0.1.0 |
AcrossTic A Cost-Minimal Regular Spanning Subgraph with TreeClust | 1.0-3 |
acs Download, Manipulate, and Present American Community Survey and Decennial Data from the US Census | 2.1.4 |
acss Algorithmic Complexity for Short Strings | 0.2-5 |
acss.data Data Only: Algorithmic Complexity of Short Strings (Computed via<U+000a>Coding Theorem Method) | 1.0 |
ACSSpack ACSS, Corresponding ACSS, and GLP Algorithm | 0.0.1.4 |
ACSWR A Companion Package for the Book "A Course in Statistics with R" | 1.0 |
act Aligned Corpus Toolkit | 1.3.1 |
ACTCD Asymptotic Classification Theory for Cognitive Diagnosis | 1.3-0 |
ActCR Extract Circadian Rhythms Metrics from Actigraphy Data | 0.3.0 |
actel Acoustic Telemetry Data Analysis | 1.3.0 |
ActFrag Activity Fragmentation Metrics Extracted from Minute Level Activity Data | 0.1.1 |
actilifecounts Generate Activity Counts from Raw Accelerometer Data | 1.1.1 |
ActiSleep Sleep Duration Estimate Algorithm | 0.2.2 |
activAnalyzer A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical Behavior Data | 2.1.2 |
activatr Utilities for Parsing and Plotting Activities | 0.2.1 |
ActiveDriver Finding Cancer Driver Proteins with Enriched Mutations in Post-Translational Modification Sites | 1.0.0 |
activegp Gaussian Process Based Design and Analysis for the Active Subspace Method | 1.1.1 |
ActivePathways Integrative Pathway Enrichment Analysis of Multivariate Omics Data | 2.0.5 |
activity Animal Activity Statistics | 1.3.4 |
ActivityIndex Activity Index Calculation using Raw 'Accelerometry' Data | 0.3.7 |
activPAL Advanced Processing and Chart Generation from activPAL Events Files | 0.1.3 |
actLifer Creating Actuarial Life Tables | 1.0.0 |
actogrammr Read in Activity Data and Plot Actograms | 0.2.3 |
actuar Actuarial Functions and Heavy Tailed Distributions | 3.3-4 |
actuaRE Handling Hierarchically Structured Risk Factors using Random Effects Models | 0.1.5 |
ActuarialM Computation of Actuarial Measures Using Bell G Family | 0.1.0 |
actuaryr Develop Actuarial Models | 1.1.1 |
actxps Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports | 1.5.0 |
AcuityView A Package for Displaying Visual Scenes as They May Appear to an Animal with Lower Acuity | 0.1 |
acumos 'Acumos' R Interface | 0.4-4 |
ACV Optimal Out-of-Sample Forecast Evaluation and Testing under Stationarity | 1.0.2 |
ACWR Acute Chronic Workload Ratio Calculation | 0.1.0 |
ada The R Package Ada for Stochastic Boosting | 2.0-5 |
adabag Applies Multiclass AdaBoost.M1, SAMME and Bagging | 5.0 |
adace Estimator of the Adherer Average Causal Effect | 1.0.2 |
adagio Discrete and Global Optimization Routines | 0.9.2 |
adaHuber Adaptive Huber Estimation and Regression | 1.1 |
adamethods Archetypoid Algorithms and Anomaly Detection | 1.2.1 |
adana Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optimization | 1.1.0 |
AdapSamp Adaptive Sampling Algorithms | 1.1.1 |
adapt4pv Adaptive Approaches for Signal Detection in Pharmacovigilance | 0.2-3 |
adaptalint Check Code Style Painlessly | 0.2.4 |
adaptDiag Bayesian Adaptive Designs for Diagnostic Trials | 0.1.0 |
AdaptGauss Gaussian Mixture Models (GMM) | 1.6 |
adaptiveGPCA Adaptive Generalized PCA | 0.1.3 |
adaptivetau Tau-Leaping Stochastic Simulation | 2.3-2 |
adaptIVPT Adaptive Bioequivalence Design for In-Vitro Permeation Tests | 1.1.0 |
adaptMCMC Implementation of a Generic Adaptive Monte Carlo Markov Chain Sampler | 1.5 |
adaptMT Adaptive P-Value Thresholding for Multiple Hypothesis Testing with Side Information | 1.0.0 |
adaptr Adaptive Trial Simulator | 1.4.0 |
ADAPTS Automated Deconvolution Augmentation of Profiles for Tissue Specific Cells | 1.0.22 |
adaptsmoFMRI Adaptive Smoothing of FMRI Data | 1.2 |
adaptTest Adaptive Two-Stage Tests | 1.2 |
adaR A Fast 'WHATWG' Compliant URL Parser | 0.3.3 |
AdaSampling Adaptive Sampling for Positive Unlabeled and Label Noise Learning | 1.3 |
adass Adaptive Smoothing Spline (AdaSS) Estimator for the Function-on-Function Linear Regression | 1.0.1 |
adbcdrivermanager 'Arrow' Database Connectivity ('ADBC') Driver Manager | 0.15.0 |
adbcpostgresql 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver | 0.15.0 |
adbcsqlite 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver | 0.15.0 |
adbi 'DBI' Compliant Database Access Using 'ADBC' | 0.1.1 |
adc Calculate Antecedent Discharge Conditions | 1.0.0 |
ADCT Adaptive Design in Clinical Trials | 0.1.0 |
add2ggplot Add to 'ggplot2' | 0.3.0 |
addhaz Binomial and Multinomial Additive Hazard Models | 0.5 |
addhazard Fit Additive Hazards Models for Survival Analysis | 1.1.0 |
addinsJoaoMelo Addins Made of Joao Melo | 0.1.0 |
addinslist Discover and Install Useful RStudio Addins | 0.5.0 |
addinsOutline 'RStudio' Addins for Show Outline of a R Markdown/'LaTeX' Project | 0.1.6 |
additive Bindings for Additive TidyModels | 1.0.1 |
additiveDEA Additive Data Envelopment Analysis Models | 1.1 |
additivityTests Additivity Tests in the Two Way Anova with Single Sub-Class Numbers | 1.1-4.2 |
addreg Additive Regression for Discrete Data | 3.0 |
addScales Adds Labeled Center Line and Scale Lines/Regions to Trellis Plots | 1.0-1 |
ADDT Analysis of Accelerated Destructive Degradation Test Data | 2.0 |
ade4 Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences | 1.7-22 |
ade4TkGUI 'ade4' Tcl/Tk Graphical User Interface | 0.3-1 |
adea Alternate DEA Package | 1.5.2 |
adegenet Exploratory Analysis of Genetic and Genomic Data | 2.1.10 |
adegraphics An S4 Lattice-Based Package for the Representation of Multivariate Data | 1.0-21 |
adehabitatHR Home Range Estimation | 0.4.22 |
adehabitatHS Analysis of Habitat Selection by Animals | 0.3.18 |
adehabitatLT Analysis of Animal Movements | 0.3.28 |
adehabitatMA Tools to Deal with Raster Maps | 0.3.17 |
adelie Group Lasso and Elastic Net Solver for Generalized Linear Models | 1.0.2 |
adephylo Exploratory Analyses for the Phylogenetic Comparative Method | 1.1-16 |
adepro A 'shiny' Application for the (Audio-)Visualization of Adverse Event Profiles | 4.1.2 |
adept Adaptive Empirical Pattern Transformation | 1.2 |
adeptdata Accelerometry Data Sets | 1.1 |
AdequacyModel Adequacy of Probabilistic Models and General Purpose Optimization | 2.0.0 |
ADER Data Analysis in Ecology | 1.5 |
adespatial Multivariate Multiscale Spatial Analysis | 0.3-24 |
adestr Estimation in Optimal Adaptive Two-Stage Designs | 1.0.0 |
adfExplorer Import from and Export to Amiga Disk Files | 0.1.8 |
adformR Get Adform Ads Data via the 'Windsor.ai' API | 0.1.0 |
ADGofTest Anderson-Darling GoF test | 0.3 |
adheRenceRX Assess Medication Adherence from Pharmaceutical Claims Data | 1.0.0 |
AdhereR Adherence to Medications | 0.8.1 |
AdhereRViz Adherence to Medications | 0.2.1 |
adimpro Adaptive Smoothing of Digital Images | 0.9.7.2 |
AdIsMF Adsorption Isotherm Model Fitting | 0.1.0 |
adiv Analysis of Diversity | 2.2.1 |
adjclust Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix | 0.6.10 |
adjROC Computing Sensitivity at a Fix Value of Specificity and Vice Versa as Well as Bootstrap Metrics for ROC Curves | 0.3 |
adjSURVCI Parameter and Adjusted Probability Estimation for Right-Censored Data | 1.0 |
adjustedcranlogs Remove Automated and Repeated Downloads from 'RStudio' 'CRAN' Download Logs | 0.1.0 |
adjustedCurves Confounder-Adjusted Survival Curves and Cumulative Incidence Functions | 0.11.2 |
adklakedata Adirondack Long-Term Lake Data | 0.6.1 |
adlift An Adaptive Lifting Scheme Algorithm | 1.4-5 |
ADLP Accident and Development Period Adjusted Linear Pools for Actuarial Stochastic Reserving | 0.1.0 |
admiral ADaM in R Asset Library | 1.1.1 |
admiral.test Test Data for the 'admiral' Package | 0.7.0 |
admiraldev Utility Functions and Development Tools for the Admiral Package Family | 1.1.0 |
admiralonco Oncology Extension Package for ADaM in 'R' Asset Library | 1.1.0 |
admiralophtha ADaM in R Asset Library - Ophthalmology | 1.1.0 |
admiralpeds Pediatrics Extension Package for ADaM in 'R' Asset Library | 0.1.0 |
admiralvaccine Vaccine Extension Package for ADaM in 'R' Asset Library | 0.3.0 |
admisc Adrian Dusa's Miscellaneous | 0.37 |
AdMit Adaptive Mixture of Student-t Distributions | 2.1.9 |
admix Package Admix for Admixture (aka Contamination) Models | 2.3.3 |
admixr An Interface for Running 'ADMIXTOOLS' Analyses | 0.9.1 |
ADMM Algorithms using Alternating Direction Method of Multipliers | 0.3.3 |
admmDensestSubmatrix Alternating Direction Method of Multipliers to Solve Dense Dubmatrix Problem | 0.1.0 |
ADMMsigma Penalized Precision Matrix Estimation via ADMM | 2.1 |
admtools Estimate and Manipulate Age-Depth Models | 0.4.0 |
ADMUR Ancient Demographic Modelling Using Radiocarbon | 1.0.3 |
adnuts No-U-Turn MCMC Sampling for 'ADMB' Models | 1.1.2 |
adobeanalyticsr R Client for 'Adobe Analytics' API 2.0 | 0.4.0 |
adoptr Adaptive Optimal Two-Stage Designs | 1.1.1 |
ADP Adoption Probability, Triers and Users Rate of a New Product | 0.1.6 |
ADPclust Fast Clustering Using Adaptive Density Peak Detection | 0.7 |
ADPF Use Least Squares Polynomial Regression and Statistical Testing to Improve Savitzky-Golay | 0.0.1 |
adproclus Additive Profile Clustering Algorithms | 2.0.0 |
adpss Design and Analysis of Locally or Globally Efficient Adaptive Designs | 0.1.2 |
ads Spatial Point Patterns Analysis | 1.5-10 |
adsDataHubR Google Ads Data Hub API Client | 0.1.1 |
ADTSA Time Series Analysis | 1.0.1 |
AdvancedBasketballStats Advanced Basketball Statistics | 1.0.1 |
AdvBinomApps Upper Clopper-Pearson Confidence Limits for Burn-in Studies under Additional Available Information | 1.0 |
AdvDif4 Solving 1D Advection Bi-Flux Diffusion Equation | 0.7.18 |
adventr Interactive R Tutorials to Accompany Field (2016), "An Adventure in Statistics" | 0.1.8 |
AdverseEvents 'shiny' Application for Adverse Event Analysis of 'OnCore' Data | 0.0.4 |
ADVICE Automatic Direct Variable Selection via Interrupted Coefficient Estimation | 1.0 |
adw Angular Distance Weighting Interpolation | 0.4.0 |
adwave Wavelet Analysis of Genomic Data from Admixed Populations | 1.3 |
adwordsR Access the 'Google Adwords' API | 0.3.1 |
aebdata Access Data from the Atlas do Estado Brasileiro | 0.1.2 |
aeddo Automated and Early Detection of Disease Outbreaks | 0.1.1 |
AEDForecasting Change Point Analysis in ARIMA Forecasting | 0.20.0 |
aedseo Automated and Early Detection of Seasonal Epidemic Onset | 0.1.2 |
AEenrich Adverse Event Enrichment Tests | 1.1.0 |
aelab Calculation of Greenhouse Gas Flux | 0.4.0 |
AEP Statistical Modelling for Asymmetric Exponential Power Distribution | 0.1.4 |
AER Applied Econometrics with R | 1.2-14 |
AeRobiology A Computational Tool for Aerobiological Data | 2.0.1 |
AeroSampleR Estimate Aerosol Particle Collection Through Sample Lines | 0.2.0 |
AF Model-Based Estimation of Confounder-Adjusted Attributable Fractions | 0.1.5 |
afc Generalized Discrimination Score | 1.4.0 |
afcharts Produce Charts Following UK Government Analysis Function Guidance | 0.4.0 |
afcolours Government Analysis Function Recommended Accessible Colour Palette | 1.0.0 |
afdx Diagnosis Performance Using Attributable Fraction | 1.1.1 |
afex Analysis of Factorial Experiments | 1.4-1 |
AFFECT Accelerated Functional Failure Time Model with Error-Contaminated Survival Times | 0.1.2 |
affiner A Finer Way to Render 3D Illustrated Objects in 'grid' Using Affine Transformations | 0.1.3 |
affinity Raster Georeferencing, Grid Affine Transforms, Cell Abstraction | 0.2.5 |
affinitymatrix Estimation of Affinity Matrix | 0.1.0 |
affluenceIndex Affluence (Richness) Indices | 2.2 |
affxparser | 1.78.0 |
affy | 1.84.0 |
affyio | 1.76.0 |
affyPLM | 1.82.0 |
AFheritability The Attributable Fraction (AF) Described as a Function of Disease Heritability, Prevalence and Intervention Specific Factors | 0.1.0 |
AFM Atomic Force Microscope Image Analysis | 2.0 |
afmToolkit Functions for Atomic Force Microscope Force-Distance Curves Analysis | 0.0.1 |
afpt Tools for Modelling of Animal Flight Performance | 1.1.0.4 |
AFR Toolkit for Regression Analysis of Kazakhstan Banking Sector Data | 0.3.6 |
africamonitor Africa Macroeconomic Monitor Database API | 0.2.4 |
aftgee Accelerated Failure Time Model with Generalized Estimating Equations | 1.2.1 |
afthd Accelerated Failure Time for High Dimensional Data with MCMC | 1.1.0 |
aftR2 R-Squared Measure under Accelerated Failure Time (AFT) Models | 0.1.0 |
aftsem Semiparametric Accelerated Failure Time Model | 1.0 |
afttest Model Diagnostics for Accelerated Failure Time Models | 4.3.2.3 |
ag5Tools Toolbox for Downloading and Extracting Copernicus AgERA5 Data | 0.0.2 |
agcounts Calculate 'ActiGraph' Counts from Accelerometer Data | 0.6.6 |
AGD Analysis of Growth Data | 0.45.0 |
ageg Age Grouping Functions | 1.0.0 |
agena.ai R Wrapper for 'agena.ai' API | 1.1.1 |
ageutils Collection of Functions for Working with Age Intervals | 0.0.7 |
agfh Agnostic Fay-Herriot Model for Small Area Statistics | 0.2.1 |
agghoo Aggregated Hold-Out Cross Validation | 0.1-0 |
AggregateR Aggregate Numeric, Date and Categorical Variables | 0.1.1 |
aggregation p-Value Aggregation Methods | 1.0.1 |
aggTrees Aggregation Trees | 2.1.0 |
aggutils Utilities for Aggregating Probabilistic Forecasts | 1.0.2 |
AGHmatrix Relationship Matrices for Diploid and Autopolyploid Species | 2.1.4 |
aghq Adaptive Gauss Hermite Quadrature for Bayesian Inference | 0.4.1 |
aglm Accurate Generalized Linear Model | 0.4.0 |
agop Aggregation Operators and Preordered Sets | 0.2.4 |
AGPRIS AGricultural PRoductivity in Space | 2.0 |
agRee Various Methods for Measuring Agreement | 0.5-3 |
AgreementInterval Agreement Interval of Two Measurement Methods | 0.1.1 |
agricolae Statistical Procedures for Agricultural Research | 1.3-7 |
agricolaeplotr Visualization of Design of Experiments from the 'agricolae' Package | 0.5.0 |
agridat Agricultural Datasets | 1.24 |
agrifeature Agriculture Image Feature | 1.0.3 |
agriTutorial Tutorial Analysis of Some Agricultural Experiments | 0.1.5 |
agriutilities Utilities for Data Analysis in Agriculture | 1.2.0 |
agriwater Evapotranspiration and Energy Fluxes Spatial Analysis | 1.0.2 |
agrmt Calculate Concentration and Dispersion in Ordered Rating Scales | 1.42.12 |
AgroR Experimental Statistics and Graphics for Agricultural Sciences | 1.3.6 |
AgroReg Regression Analysis Linear and Nonlinear for Agriculture | 1.2.10 |
agrostab Stability Analysis for Agricultural Research | 0.1.0 |
AgroTech Data Analysis of Pesticide Application Technology | 1.0.2 |
ags Crosswalk Municipality and District Statistics in Germany | 1.0.1 |
agtboost Adaptive and Automatic Gradient Boosting Computations | 0.9.3 |
agua 'tidymodels' Integration with 'h2o' | 0.1.4 |
agvgd An R Implementation of the 'Align-GVGD' Method | 0.1.2 |
ahaz Regularization for Semiparametric Additive Hazards Regression | 1.15.1 |
AHM Additive Heredity Model: Method for the Mixture-of-Mixtures Experiments | 1.0.1 |
AHMbook Functions and Data for the Book 'Applied Hierarchical Modeling in Ecology' Vols 1 and 2 | 0.2.10 |
ahMLE Methods for the Additive Hazard Model | 1.20.1 |
ahnr An Implementation of the Artificial Hydrocarbon Networks | 0.3.1 |
AhoCorasickTrie Fast Searching for Multiple Keywords in Multiple Texts | 0.1.2 |
AHPGaussian New Multicriteria Method: AHPGaussian | 0.1.1 |
AHPhybrid AHP Hybrid Method | 0.1.0 |
ahpsurvey Analytic Hierarchy Process for Survey Data | 0.4.1 |
AHPtools Consistency in the Analytic Hierarchy Process | 0.3.0 |
ahptopsis2n Hybrid Method for Multiple Criteria Decision-Making (MCDM) | 0.2.0 |
AHPWR Compute Analytic Hierarchy Process | 0.1.0 |
AHSurv Flexible Parametric Accelerated Hazards Models | 0.1.0 |
ahw Calculates Continuous Time Likelihood Ratio Weights Assuming Multiplicative Intensity Models and Additive Hazard Models | 0.1.0 |
ai Build, Predict and Analyse Artificial Intelligence Models | 1.0.4.44 |
aIc Testing for Compositional Pathologies in Datasets | 1.0 |
AICcmodavg Model Selection and Multimodel Inference Based on (Q)AIC(c) | 2.3-3 |
AICcPermanova Model Selection of PERMANOVA Models Using AICc | 0.0.2 |
AID Box-Cox Power Transformation | 3.0 |
aidar Tools for Reading AIDA Files | 1.0.5 |
aides Additive Information & Details of Evidence Synthesis | 1.3.3 |
aifeducation Artificial Intelligence for Education | 0.3.3 |
AIFFtools Read AIFF Files and Convert to WAVE Format | 1.0 |
aihuman Experimental Evaluation of Algorithm-Assisted Human Decision-Making | 0.1.0 |
aimPlot Create Pie Like Plot for Completeness | 1.0.0 |
aimsir17 Irish Weather Observing Stations Hourly Records for 2017 | 0.0.2 |
aion Archaeological Time Series | 1.3.0 |
AIPW Augmented Inverse Probability Weighting | 0.6.3.2 |
air AI Assistant to Write and Understand R Code | 0.2.2 |
aire.zmvm Download Mexico City Pollution, Wind, and Temperature Data | 1.0.0 |
AirExposure Exposure Model to Air Pollutants Based on Mobility and Daily Activities | 1.0 |
airGR Suite of GR Hydrological Models for Precipitation-Runoff Modelling | 1.7.6 |
airGRdatasets Hydro-Meteorological Catchments Datasets for the 'airGR' Packages | 0.2.1 |
airGRdatassim Ensemble-Based Data Assimilation with GR Hydrological Models | 0.1.3 |
airGRiwrm 'airGR' Integrated Water Resource Management | 0.7.0 |
airGRteaching Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included) | 0.3.3 |
aiRly R Wrapper for 'Airly' API | 0.1.0 |
AirMonitor Air Quality Data Analysis | 0.4.2 |
airnow Retrieve 'AirNow' Air Quality Observations and Forecasts | 0.1.0 |
airportr Convenience Tools for Working with Airport Data | 0.1.3 |
airports Data on Airports | 0.1.0 |
airqualityES Air Quality Measurements in Spain from 2011 to 2018 | 1.0.0 |
airr AIRR Data Representation Reference Library | 1.5.0 |
airt Evaluation of Algorithm Collections Using Item Response Theory | 0.2.2 |
aiRthermo Atmospheric Thermodynamics and Visualization | 1.2.1 |
AIscreenR AI Screening Tools in R for Systematic Reviewing | 0.1.1 |
aisoph Additive Isotonic Proportional Hazards Model | 0.4 |
AIUQ Ab Initio Uncertainty Quantification | 0.5.3 |
ajv Another JSON Schema Validator | 1.0.0 |
aka Define Aliases for R Expressions | 0.1.0 |
akc Automatic Knowledge Classification | 0.9.9 |
Ake Associated Kernel Estimations | 1.0.1 |
akiFlagger Flags Acute Kidney Injury (AKI) | 0.3.0 |
akima Interpolation of Irregularly and Regularly Spaced Data | 0.6-3.4 |
akmbiclust Alternating K-Means Biclustering | 0.1.0 |
alabama Constrained Nonlinear Optimization | 2023.1.0 |
alakazam Immunoglobulin Clonal Lineage and Diversity Analysis | 1.3.0 |
alarmdata Download, Merge, and Process Redistricting Data | 0.2.1 |
ALassoSurvIC Adaptive Lasso for the Cox Regression with Interval Censored and Possibly Left Truncated Data | 0.1.1 |
albatross PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | 0.3-8 |
aLBI Estimating Length-Based Indicators for Fish Stock | 0.1.7 |
albopictus Age-Structured Population Dynamics Model | 0.5 |
alcyon Spatial Network Analysis | 0.5.0 |
ald The Asymmetric Laplace Distribution | 1.3.1 |
ALDEx2 | 1.38.0 |
ALDqr Quantile Regression Using Asymmetric Laplace Distribution | 1.0 |
aldvmm Adjusted Limited Dependent Variable Mixture Models | 0.8.8 |
ale Interpretable Machine Learning and Statistical Inference with Accumulated Local Effects (ALE) | 0.3.0 |
ALEPlot Accumulated Local Effects (ALE) Plots and Partial Dependence (PD) Plots | 1.1 |
ALFAM2 Dynamic Model of Ammonia Emission from Field-Applied Manure | 4.2 |
aLFQ Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data | 1.3.6 |
alfr Connectivity to 'Alfresco' Content Management Repositories | 1.2.1 |
alfred Downloading Time Series from ALFRED Database for Various Vintages | 0.2.1 |
algaeClassify Tools to Query the Algaebase Online Database, Standardize Phytoplankton Taxonomic Data, and Perform Functional Group Classifications | 2.0.3 |
AlgDesign Algorithmic Experimental Design | 1.2.1.1 |
AlgebraicHaploPackage Haplotype Two Snips Out of a Paired Group of Patients | 1.2 |
algo Implement an Address Search Auto Completion Menu on 'Shiny' Text Inputs Using the 'Algolia Places' 'Javascript' Library | 0.1.0 |
algorithmia Allows you to Easily Interact with the Algorithmia Platform | 0.3.0 |
aliases2entrez Converts Human gene symbols to entrez IDs | 0.1.2 |
alien Estimate Invasive and Alien Species (IAS) Introduction Rates | 1.0.2 |
align A Modified DTW Algorithm for Stratigraphic Time Series Alignment | 0.1.0 |
AlignLV Multiple Group Item Response Theory Alignment Helpers for 'lavaan' and 'mirt' | 0.1.0.0 |
alkahest Pre-Processing XY Data from Experimental Methods | 1.2.0 |
ALL | 1.48.0 |
allcontributors Acknowledge all Contributors to a Project | 0.2.2 |
alleHap Allele Imputation and Haplotype Reconstruction from Pedigree Databases | 0.9.9 |
allelematch Identifying Unique Multilocus Genotypes where Genotyping Error and Missing Data may be Present | 2.5.4 |
AlleleRetain Allele Retention, Inbreeding, and Demography | 2.0.2 |
AlleleShift Predict and Visualize Population-Level Changes in Allele Frequencies in Response to Climate Change | 1.1-2 |
AllelicSeries Allelic Series Test | 0.1.1.2 |
allestimates Effect Estimates from All Models | 0.2.3 |
AllMetrics Calculating Multiple Performance Metrics of a Prediction Model | 0.2.1 |
allMT Acute Lymphoblastic Leukemia Maintenance Therapy Analysis | 0.1.0 |
allofus Interface for 'All of Us' Researcher Workbench | 1.2.0 |
allometric Structured Allometric Models for Trees | 2.3.0 |
allomr Removing Allometric Effects of Body Size in Morphological Analysis | 0.3.0 |
Allspice RNA-Seq Profile Classifier | 1.0.7 |
ALLSPICER ALLelic Spectrum of Pleiotropy Informed Correlated Effects | 0.1.9 |
alluvial Alluvial Diagrams | 0.1-2 |
almanac Tools for Working with Recurrence Rules | 1.0.0 |
alone Datasets from the Survival TV Series Alone | 0.5 |
alookr Model Classifier for Binary Classification | 0.3.9 |
aloom All Leave-One-Out Models | 0.1.1 |
alpaca Fit GLM's with High-Dimensional k-Way Fixed Effects | 0.3.4 |
alpha.correction.bh Benjamini-Hochberg Alpha Correction | 0.0.1 |
alphabetr Algorithms for High-Throughput Sequencing of Antigen-Specific T Cells | 0.2.2 |
alphaci Confidence Intervals for Coefficient Alpha and Standardized Alpha | 1.0.1 |
alphahull Generalization of the Convex Hull of a Sample of Points in the Plane | 2.5 |
alphaN Set Alpha Based on Sample Size Using Bayes Factors | 0.1.0 |
alphaOutlier Obtain Alpha-Outlier Regions for Well-Known Probability Distributions | 1.2.0 |
AlphaPart Partition/Decomposition of Breeding Values by Paths of Information | 0.9.8 |
alphashape3d Implementation of the 3D Alpha-Shape for the Reconstruction of 3D Sets from a Point Cloud | 1.3.2 |
AlphaSimR Breeding Program Simulations | 1.6.1 |
alphastable Inference for Stable Distribution | 0.2.1 |
alphavantager Lightweight Interface to the Alpha Vantage API | 0.1.3 |
alqrfe Adaptive Lasso Quantile Regression with Fixed Effects | 1.1 |
alr4 Data to Accompany Applied Linear Regression 4th Edition | 1.0.6 |
ALS Multivariate Curve Resolution Alternating Least Squares (MCR-ALS) | 0.0.7 |
ALSCPC Accelerated line search algorithm for simultaneous orthogonal<U+000a>transformation of several positive definite symmetric matrices<U+000a>to nearly diagonal form. | 1.0 |
altadata API Wrapper for Altadata.io | 0.1.1 |
altair Interface to 'Altair' | 4.2.3 |
altdoc Package Documentation Websites with 'Quarto', 'Docsify', 'Docute', or 'MkDocs' | 0.4.0 |
AlteredPQR Detection of Altered Protein Quantitative Relationships | 0.1.0 |
altfuelr Provides an Interface to the NREL Alternate Fuels Locator | 0.1.0 |
altmeta Alternative Meta-Analysis Methods | 4.2 |
ALTopt Optimal Experimental Designs for Accelerated Life Testing | 0.1.2 |
altR2 Alternative Estimators to Adjusted R-Squared | 1.1.0 |
ALUES Agricultural Land Use Evaluation System | 0.2.1 |
amadeus Accessing and Analyzing Large-Scale Environmental Data | 1.1.6 |
amanida Meta-Analysis for Non-Integral Data | 0.3.0 |
amanpg Alternating Manifold Proximal Gradient Method for Sparse PCA | 0.3.4 |
amap Another Multidimensional Analysis Package | 0.8-20 |
amapGeocode An Interface to the 'AutoNavi Maps' API Geocoding Services | 0.6.0 |
amapro Thin Wrapper for Mapping Library 'AMap' | 0.1.3 |
AMAPVox LiDAR Data Voxelisation | 2.2.1 |
amazonadsR Get Amazon Ads Data via the 'Windsor.ai' API | 0.1.0 |
amazons3R Get Amazon S3 Data via the 'Windsor.ai' API | 0.1.0 |
amazonspR Get Amazon Sp Data via the 'Windsor.ai' API | 0.1.0 |
amberr 'Amber' Electronic Data Capture Client | 1.1.0 |
ambient A Generator of Multidimensional Noise | 1.0.2 |
ambit Simulation and Estimation of Ambit Processes | 0.1.2 |
AMCP A Model Comparison Perspective | 1.0.2 |
AMCTestmakeR Generate LaTeX Code for Auto-Multiple-Choice (AMC) | 1.0.0 |
Amelia A Program for Missing Data | 1.8.3 |
amelie Anomaly Detection with Normal Probability Functions | 0.2.1 |
amen Additive and Multiplicative Effects Models for Networks and Relational Data | 1.4.5 |
amerifluxr Interface to 'AmeriFlux' Data Services | 1.0.0 |
amerika American Politics-Inspired Color Palette Generator | 0.1.0 |
AmesHousing The Ames Iowa Housing Data | 0.0.4 |
ami Checks for Various Computing Environments | 0.2.1 |
AmigaFFH Commodore Amiga File Format Handler | 0.4.5 |
AMIM Compute the Adjusted Market Inefficiency Measure | 1.0.0 |
ammiBayes Bayesian Ammi Model for Continuous Data | 1.0-2 |
ammistability Additive Main Effects and Multiplicative Interaction Model Stability Parameters | 0.1.4 |
AMModels Adaptive Management Model Manager | 0.1.4 |
AmmoniaConcentration Un-Ionized Ammonia Concentration | 0.1 |
aMNLFA Automated Moderated Nonlinear Factor Analysis Using 'M-plus' | 1.1.2 |
AMORE Artificial Neural Network Training and Simulating | 0.2-16 |
AmoudSurv Tractable Parametric Odds-Based Regression Models | 0.1.0 |
amp Statistical Test for the Multivariate Point Null Hypotheses | 1.0.0 |
ampd An Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals | 0.2 |
AmpGram Prediction of Antimicrobial Peptides | 1.0 |
ampir Predict Antimicrobial Peptides | 1.1.0 |
AMPLE Shiny Apps to Support Capacity Building on Harvest Control Rules | 1.0.2 |
AmpliconDuo Statistical Analysis of Amplicon Data of the Same Sample to Identify Artefacts | 1.1.1 |
AMR Antimicrobial Resistance Data Analysis | 2.1.1 |
amregtest Runs Allelematch Regression Tests | 1.0.3 |
amscorer Clinical Scores Calculator for Healthcare | 0.1.0 |
amt Animal Movement Tools | 0.2.2.0 |
amVennDiagram5 Interactive Venn Diagrams | 1.0.0 |
AmyloGram Prediction of Amyloid Proteins | 1.1 |
anabel Analysis of Binding Events + l | 3.0.1 |
AnaCoDa Analysis of Codon Data under Stationarity using a Bayesian Framework | 0.1.4.4 |
Anaconda Targeted Differential and Global Enrichment Analysis of Taxonomic Rank by Shared Asvs | 0.1.5 |
anacor Simple and Canonical Correspondence Analysis | 1.1-4 |
analogsea Interface to 'DigitalOcean' | 1.0.7.2 |
analogue Analogue and Weighted Averaging Methods for Palaeoecology | 0.17-7 |
AnalysisLin Exploratory Data Analysis | 0.1.2 |
analyzer Data Analysis and Automated R Notebook Generation | 1.0.1 |
AnanseSeurat Construct ANANSE GRN-Analysis Seurat | 1.2.0 |
anapuce Tools for Microarray Data Analysis | 2.3 |
AncestryMapper Assigning Ancestry Based on Population References | 2.0 |
AnchorRegression Perform AnchorRegression | 0.1.3 |
and Construct Natural-Language Lists with Internationalization | 0.1.5 |
andrews Various Andrews Curves | 1.1.2 |
Andromeda Asynchronous Disk-Based Representation of Massive Data | 0.6.7 |
andurinha Make Spectroscopic Data Processing Easier | 0.0.2 |
anesrake ANES Raking Implementation | 0.80 |
AnglerCreelSurveySimulation Simulate a Bus Route Creel Survey of Anglers | 1.0.3 |
angstromATE Imports Log Files from Angstrom Engineering Thermal Evaporator | 0.1.3 |
angstroms Tools for 'ROMS' the Regional Ocean Modeling System | 0.0.1 |
aniDom Inferring Dominance Hierarchies and Estimating Uncertainty | 0.1.5 |
anim.plots Simple Animated Plots for R | 0.2.2 |
animalEKF Extended Kalman Filters for Animal Movement | 1.2 |
AnimalHabitatNetwork Networks Characterising the Physical Configurations of Animal Habitats | 0.1.0 |
AnimalSequences Analyse Animal Sequential Behaviour and Communication | 0.2.0 |
animate A Web-Based Graphics Device for Animated Visualisations | 0.3.9.4 |
animation A Gallery of Animations in Statistics and Utilities to Create Animations | 2.7 |
animbook Visualizing Changes in Performance Measures and Demographic Affiliations using Animation | 1.0.0 |
animint2 Animated Interactive Grammar of Graphics | 2024.11.2 |
animl A Collection of ML Tools for Conservation Research | 1.1.0 |
anipaths Animation of Multiple Trajectories with Uncertainty | 0.10.3 |
aniSNA Statistical Network Analysis of Animal Social Networks | 1.1.1 |
aniview Animate Shiny and R Markdown Content when it Comes into View | 0.1.0 |
anMC Compute High Dimensional Orthant Probabilities | 0.2.5 |
ANN2 Artificial Neural Networks for Anomaly Detection | 2.3.4 |
anndata 'anndata' for R | 0.7.5.6 |
annmatrix Annotated Matrix: Matrices with Persistent Row and Column Annotations | 0.1.2 |
AnnoProbe Annotate the Gene Symbols for Probes in Expression Array | 0.1.7 |
annotate | 1.84.0 |
annotater Annotate Package Load Calls | 0.2.3 |
AnnotationBustR Extract Subsequences from GenBank Annotations | 1.3.0 |
AnnotationDbi | 1.68.0 |
AnnotationFilter | 1.30.0 |
AnnotationForge | 1.48.0 |
AnnotationHub | 3.14.0 |
annotator Image Annotation and Polygon Outlining using Free Drawing | 0.0.3.1 |
AnnuityRIR Annuity Random Interest Rates | 1.0-0 |
anocva A Non-Parametric Statistical Test to Compare Clustering Structures | 0.1.1 |
ANOFA Analyses of Frequency Data | 0.1.3 |
anoint Analysis of Interactions | 1.5 |
ANOM Analysis of Means | 0.5 |
anomalize Tidy Anomaly Detection | 0.3.0 |
anomaly Detecting Anomalies in Data | 4.3.3 |
AnomalyScore Anomaly Scoring for Multivariate Time Series | 0.1 |
anominate Alpha-NOMINATE Ideal Point Estimator | 0.7 |
anomo Analysis of Moderation with the Monte Carlo Confidence Interval Method | 0.5.2 |
ANOPA Analyses of Proportions using Anscombe Transform | 0.1.3 |
ANOVAIREVA Interactive Document for Working with Analysis of Variance | 0.1.0 |
ANOVAShiny Interactive Document for Working with Analysis of Variance | 0.1.0 |
ANOVAShiny2 Interactive Document for Working with Analysis of Variance | 0.1.0 |
anovir Analysis of Virulence | 0.1.0 |
anscombiser Create Datasets with Identical Summary Statistics | 1.1.0 |
ANSM5 Functions and Data for the Book "Applied Nonparametric Statistical Methods", 5th Edition | 1.1.1 |
AntAngioCOOL Anti-Angiogenic Peptide Prediction | 1.2 |
antaresEditObject Edit an 'Antares' Simulation | 0.7.1 |
antaresProcessing 'Antares' Results Processing | 0.18.3 |
antaresRead Import, Manipulate and Explore the Results of an 'Antares' Simulation | 2.7.2 |
antaresViz Antares Visualizations | 0.18.3 |
anthro Computation of the WHO Child Growth Standards | 1.0.1 |
anthroplus Computation of the WHO 2007 References for School-Age Children and Adolescents (5 to 19 Years) | 1.0.0 |
AnthropMMD An R Package for the Mean Measure of Divergence (MMD) | 4.0.3 |
Anthropometry Statistical Methods for Anthropometric Data | 1.19 |
AntibodyTiters Antibody Titer Analysis of Vaccinated Patients | 0.1.24 |
anticlust Subset Partitioning via Anticlustering | 0.8.7 |
antitrust Tools for Antitrust Practitioners | 0.99.26 |
antiword Extract Text from Microsoft Word Documents | 1.3.4 |
AntMAN Anthology of Mixture Analysis Tools | 1.1.0 |
AnxietySleep Sleep Quality and Anxiety in Confinement | 0.0.1 |
anybadger Create Custom Pipeline Badges | 0.1.0 |
anyflights Query 'nycflights13'-Like Air Travel Data for Given Years and Airports | 0.3.4 |
anyLib Install and Load Any Package from CRAN, Bioconductor or Github | 1.0.5 |
anytime Anything to 'POSIXct' or 'Date' Converter | 0.3.10 |
ao Alternating Optimization | 1.1.0 |
AOboot Bootstrapping in Different One-Way and Two-Way ANOVA | 0.1.1 |
aod Analysis of Overdispersed Data | 1.3.3 |
aods3 Analysis of Overdispersed Data using S3 Methods | 0.5 |
aoos Another Object Orientation System | 0.5.0 |
aopdata Data from the 'Access to Opportunities Project (AOP)' | 1.1.0 |
Aoptbdtvc A-Optimal Block Designs for Comparing Test Treatments with Controls | 0.0.3 |
aoristic Generates Aoristic Probability Distributions | 1.1.1 |
aorsf Accelerated Oblique Random Forests | 0.1.5 |
aos Animate on Scroll Library for 'shiny' | 0.1.0 |
AOV1R Inference in the Balanced One-Way ANOVA Model with Random Factor | 0.1.0 |
AovBay Classic, Nonparametric and Bayesian One-Way Analysis of Variance Panel | 0.1.0 |
apa Format Outputs of Statistical Tests According to APA Guidelines | 0.3.4 |
apache.sedona R Interface for Apache Sedona | 1.7.0 |
ApacheLogProcessor Process the Apache Web Server Log Files | 0.2.3 |
APackOfTheClones Visualization of Clonal Expansion for Single Cell Immune Profiles | 1.2.4 |
apaTables Create American Psychological Association (APA) Style Tables | 2.0.8 |
apaText Create R Markdown Text for Results in the Style of the American Psychological Association (APA) | 0.1.7 |
apc Age-Period-Cohort Analysis | 2.0.0 |
APCalign Resolving Plant Taxon Names Using the Australian Plant Census | 1.1.0 |
APCanalysis Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons | 1.0 |
apcf Adapted Pair Correlation Function | 0.3.1 |
APCI A New Age-Period-Cohort Model for Describing and Investigating Inter-Cohort Differences and Life Course Dynamics | 1.0.8 |
apcluster Affinity Propagation Clustering | 1.4.13 |
aPCoA Covariate Adjusted PCoA Plot | 1.3 |
APCtools Routines for Descriptive and Model-Based APC Analysis | 1.0.4 |
apdesign An Implementation of the Additive Polynomial Design Matrix | 1.0.0 |
ape Analyses of Phylogenetics and Evolution | 5.8-1 |
aPEAR Advanced Pathway Enrichment Analysis Representation | 1.0.0 |
apercu Quick Look at your Data | 0.2.5 |
apex Phylogenetic Methods for Multiple Gene Data | 1.0.6 |
apexcharter Create Interactive Chart with the JavaScript 'ApexCharts' Library | 0.4.4 |
APFr Multiple Testing Approach using Average Power Function (APF) and Bayes FDR Robust Estimation | 1.0.2 |
aphid Analysis with Profile Hidden Markov Models | 1.3.5 |
aphylo Statistical Inference and Prediction of Annotations in Phylogenetic Trees | 0.3-4 |
api2lm Functions and Data Sets for the Book "A Progressive Introduction to Linear Models" | 0.2 |
APIS Auto-Adaptive Parentage Inference Software Tolerant to Missing Parents | 2.0.8 |
apisensr Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results | 1.0.0 |
aplore3 Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic Regression" (3rd Ed., 2013) | 0.9 |
aplot Decorate a 'ggplot' with Associated Information | 0.2.3 |
aplotExtra Creating Composite Plots using 'aplot' | 0.0.2 |
aplpack Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots', Slider Functions and Others | 1.3.5 |
apmx Automated Population Pharmacokinetic Dataset Assembly | 1.1.1 |
apng Convert Png Files into Animated Png | 1.1 |
Apoderoides Prioritize and Delete Erroneous Taxa in a Large Phylogenetic Tree | 3.0.0 |
apollo Tools for Choice Model Estimation and Application | 0.3.4 |
Apollonius 2D Apollonius Graphs | 1.0.1 |
appeears Interface to 'AppEEARS' NASA Web Services | 1.1 |
APPEstimation Adjusted Prediction Model Performance Estimation | 0.1.1 |
appleadsR Get Apple Search Ads Data via the 'Windsor.ai' API | 0.1.0 |
appler 'Apple App Store' and 'iTunes' Data Extraction | 0.2.1 |
applicable A Compilation of Applicability Domain Methods | 0.1.1 |
AppliedPredictiveModeling Functions and Data Sets for 'Applied Predictive Modeling' | 1.1-7 |
appnn Amyloid Propensity Prediction Neural Network | 1.0-1 |
apportion Apportion Seats | 0.0.1 |
appRiori Code and Obtain Customized Planned Comparisons with 'appRiori' | 0.0.5 |
approximator Bayesian Prediction of Complex Computer Codes | 1.2-8 |
approxmatch Approximately Optimal Fine Balance Matching with Multiple Groups | 2.0 |
approxOT Approximate and Exact Optimal Transport Methods | 1.1.1 |
appsflyeR Get Data from 'Appsflyer' via the 'Windsor.ai' API | 0.1.0 |
appsheet An Interface to the 'AppSheet' API | 0.1.0 |
aprean3 Datasets from Draper and Smith "Applied Regression Analysis" (3rd Ed., 1998) | 1.0.1 |
aprof Amdahl's Profiler, Directed Optimization Made Easy | 0.4.1 |
apsimx Inspect, Read, Edit and Run 'APSIM' "Next Generation" and 'APSIM' Classic | 2.8.0 |
apt Asymmetric Price Transmission | 4.0 |
APtools Average Positive Predictive Values (AP) for Binary Outcomes and Censored Event Times | 6.8.8 |
apyramid Visualize Population Pyramids Aggregated by Age | 0.1.3 |
AQEval Air Quality Evaluation | 0.5.7 |
aqfig Display Air Quality Model Output and Monitoring Data | 0.9 |
AQLSchemes Retrieving Acceptance Sampling Schemes | 1.7-2 |
aqp Algorithms for Quantitative Pedology | 2.1.0 |
AquaAnalytix Water Quality Analysis | 0.1.0 |
AquaBEHER Estimation and Prediction of Wet Season Calendar and Soil Water Balance for Agriculture | 1.4.0 |
AQuadtree Confidentiality of Spatial Point Data | 1.0.4 |
AquaEnv Integrated Development Toolbox for Aquatic Chemical Model Generation | 1.0-4 |
AQuality Water and Measurements Quality | 1.1 |
AquaticLifeHistory Life History Analysis Tools | 1.0.5 |
aquodom Access to Aquo domaintables from R (Dutch) | 0.1.1 |
AR Another Look at the Acceptance-Rejection Method | 1.1 |
ar.matrix Simulate Auto Regressive Data from Precision Matricies | 0.1.0 |
arabic2kansuji Convert Arabic Numerals to Kansuji | 0.1.3 |
arabicStemR Arabic Stemmer for Text Analysis | 1.3 |
arakno ARAchnid KNowledge Online | 1.3.0 |
ArArRedux Rigorous Data Reduction and Error Propagation of Ar40 / Ar39 Data | 1.0 |
arc Association Rule Classification | 1.4 |
ARCensReg Fitting Univariate Censored Linear Regression Model with Autoregressive Errors | 3.0.1 |
arcgeocoder Geocoding with the 'ArcGIS' REST API Service | 0.2.0 |
arcgis ArcGIS Location Services Meta-Package | 0.1.1 |
arcgisgeocode A Robust Interface to ArcGIS 'Geocoding Services' | 0.2.2 |
arcgislayers An Interface to ArcGIS Data Services | 0.3.1 |
arcgisplaces Search for POIs using ArcGIS 'Places Service' | 0.1.0 |
arcgisutils ArcGIS Utility Functions | 0.3.1 |
ArchaeoPhases Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling | 2.0 |
ArchaeoPhases.dataset Data Sets for 'ArchaeoPhases' Vignettes | 0.2.0 |
archdata Example Datasets from Archaeological Research | 1.2-1 |
archeofrag Refitting and Spatial Analysis in Archaeology | 0.8.2 |
archeoViz Visualisation, Exploration, and Web Communication of Archaeological Spatial Data | 1.3.5 |
archetypal Finds the Archetypal Analysis of a Data Frame | 1.3.1 |
archetyper An Archetype for Data Mining and Data Science Projects | 0.1.0 |
archetypes Archetypal Analysis | 2.2-0.1 |
archiDART Plant Root System Architecture Analysis Using DART and RSML Files | 3.4 |
archive Multi-Format Archive and Compression Support | 1.1.10 |
archiveRetriever Retrieve Archived Web Pages from the 'Internet Archive' | 0.4.0 |
archivist Tools for Storing, Restoring and Searching for R Objects | 2.3.8 |
archivist.github Tools for Archiving, Managing and Sharing R Objects via GitHub | 0.2.6 |
ArCo Artificial Counterfactual Package | 0.3-1 |
ARCokrig Autoregressive Cokriging Models for Multifidelity Codes | 0.1.2 |
arcpbf Process ArcGIS Protocol Buffer FeatureCollections | 0.1.6 |
arcpullr Pull Data from an 'ArcGIS REST' API | 0.2.9 |
arcpy Interface to 'ArcGIS' 'Python' Modules | 0.4-0 |
arctools Processing and Physical Activity Summaries of Minute Level Activity Data | 1.1.6 |
ArDec Time Series Autoregressive-Based Decomposition | 2.1-1 |
ARDECO Annual Regional Database of the European Commission (ARDECO) | 2.1.0 |
ARDL ARDL, ECM and Bounds-Test for Cointegration | 0.2.4 |
ardl.nardl Linear and Nonlinear Autoregressive Distributed Lag Models: General-to-Specific Approach | 1.3.0 |
ards Creates Analysis Results Datasets | 0.1.1 |
area Calculate Area of Triangles and Polygons | 0.2.0 |
areabiplot Area Biplot | 1.0.0 |
areal Areal Weighted Interpolation | 0.1.8 |
arealDB Harmonise and Integrate Heterogeneous Areal Data | 0.6.3 |
areaplot Plot Stacked Areas and Confidence Bands as Filled Polygons | 2.1.2 |
arena2r Plots, Summary Statistics and Tools for Arena Simulation Users | 1.0.0 |
arenar Arena for the Exploration and Comparison of any ML Models | 0.2.0 |
arf Adversarial Random Forests | 0.2.0 |
arfima Fractional ARIMA (and Other Long Memory) Time Series Modeling | 1.8-1 |
Argentum Access and Import WMS and WFS Data from Argentine Organizations | 0.5.1 |
argo Accurate Estimation of Influenza Epidemics using Google Search Data | 3.0.2 |
argoFloats Analysis of Oceanographic Argo Floats | 1.0.7 |
argonDash Argon Shiny Dashboard Template | 0.2.0 |
argonR R Interface to Argon HTML Design | 0.2.0 |
ARGOS Automatic Regression for Governing Equations (ARGOS) | 0.1.1 |
argosfilter Argos Locations Filter | 0.70 |
argparse Command Line Optional and Positional Argument Parser | 2.2.4 |
argparser Command-Line Argument Parser | 0.7.2 |
argus Random Variate Generator for the Argus Distribution | 0.1.1 |
ARHT Adaptable Regularized Hotelling's T^2 Test for High-Dimensional Data | 0.1.0 |
ari Automated R Instructor | 0.3.5 |
ARIbrain All-Resolution Inference | 0.2 |
aricode Efficient Computations of Standard Clustering Comparison Measures | 1.0.3 |
AriGaMyANNSVR Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models | 0.1.0 |
arima2 Likelihood Based Inference for ARIMA Modeling | 3.3.0 |
ARIMAANN Time Series Forecasting using ARIMA-ANN Hybrid Model | 0.1.0 |
arkdb Archive and Unarchive Databases Using Flat Files | 0.0.18 |
arkhe Tools for Cleaning Rectangular Data | 1.9.0 |
arlclustering Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining | 1.0.5 |
arm Data Analysis Using Regression and Multilevel/Hierarchical Models | 1.14-4 |
armada A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence | 0.1.0 |
armadillo An 'Armadillo' Interface | 0.3.0 |
ARMALSTM Fitting of Hybrid ARMA-LSTM Models | 0.1.0 |
armspp Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp' | 0.0.2 |
arnie "Arnie" box office records 1982-2014 | 0.1.2 |
AROC Covariate-Adjusted Receiver Operating Characteristic Curve Inference | 1.0-4 |
aroma.affymetrix Analysis of Large Affymetrix Microarray Data Sets | 3.2.2 |
aroma.apd A Probe-Level Data File Format Used by 'aroma.affymetrix' [deprecated] | 0.7.0 |
aroma.cn Copy-Number Analysis of Large Microarray Data Sets | 1.7.1 |
aroma.core Core Methods and Classes Used by 'aroma.*' Packages Part of the Aroma Framework | 3.3.1 |
aroma.light | 3.36.0 |
Arothron Geometric Morphometric Methods and Virtual Anthropology Tools | 2.0.5 |
ARPALData Retrieving and Analyzing Air Quality and Weather Data from ARPA Lombardia | 1.6.0 |
ARpLMEC Censored Mixed-Effects Models with Different Correlation Structures | 2.4.1 |
ARPobservation Tools for Simulating Direct Behavioral Observation Recording Procedures Based on Alternating Renewal Processes | 1.2.2 |
arpr Advanced R Pipes | 0.1.2 |
aRpsDCA Arps Decline Curve Analysis in R | 1.1.1 |
arrangements Fast Generators and Iterators for Permutations, Combinations, Integer Partitions and Compositions | 1.1.9 |
arrApply Apply a Function to a Margin of an Array | 2.2 |
arrayhelpers Convenience Functions for Arrays | 1.1-0 |
arrg Flexible Argument Parsing for R Scripts | 0.1.0 |
arrow Integration to 'Apache' 'Arrow' | 18.1.0 |
arrowheadr Make Custom Arrowheads | 1.0.1 |
ars Adaptive Rejection Sampling | 0.8 |
arse Area of Resilience to Stress Event | 1.0.0 |
arsenal An Arsenal of 'R' Functions for Large-Scale Statistical Summaries | 3.6.3 |
ART Aligned Rank Transform for Nonparametric Factorial Analysis | 1.0 |
artfima ARTFIMA Model Estimation | 1.5 |
arthistory Art History Textbook Data | 0.1.0 |
ARTofR To Insert Title, Divider, and Block of Comments | 0.4.1 |
ARTool Aligned Rank Transform | 0.11.1 |
artpack Creates Generative Art Data | 0.1.0 |
aRtsy Generative Art with 'ggplot2' | 1.0.0 |
ARTtransfer Adaptive and Robust Pipeline for Transfer Learning | 1.0.0 |
arules Mining Association Rules and Frequent Itemsets | 1.7-9 |
arulesCBA Classification Based on Association Rules | 1.2.7 |
arulesNBMiner Mining NB-Frequent Itemsets and NB-Precise Rules | 0.1-8 |
arulesSequences Mining Frequent Sequences | 0.2-31 |
arulesViz Visualizing Association Rules and Frequent Itemsets | 1.5.3 |
ARUtools Management and Processing of Autonomous Recording Unit (ARU) Data | 0.7.1 |
aRxiv Interface to the arXiv API | 0.10 |
asaur Data Sets for "Applied Survival Analysis Using R"" | 0.50 |
asbio A Collection of Statistical Tools for Biologists | 1.9-7 |
ascentTraining Ascent Training Datasets | 1.0.0 |
ascii Export R Objects to Several Markup Languages | 2.6 |
asciicast Create 'Ascii' Screen Casts from R Scripts | 2.3.1 |
asciichartr Lightweight ASCII Line Graphs | 0.1.0 |
asciiruler Render an ASCII Ruler | 0.2 |
asciiSetupReader Reads Fixed-Width ASCII Data Files (.txt or .dat) that Have Accompanying Setup Files (.sps or .sas) | 2.5.2 |
ascotraceR Simulate the Spread of Ascochyta Blight in Chickpea | 0.0.1 |
asd Simulations for Adaptive Seamless Designs | 2.2 |
asdreader Reading ASD Binary Files in R | 0.1-3 |
ASGS.foyer Interface to the Australian Statistical Geography Standard | 0.3.3 |
ash David Scott's ASH Routines | 1.0-15 |
ashapesampler Generating Alpha Shapes | 1.0.0 |
ashr Methods for Adaptive Shrinkage, using Empirical Bayes | 2.2-63 |
asht Applied Statistical Hypothesis Tests | 1.0.1 |
AsioHeaders 'Asio' C++ Header Files | 1.22.1-2 |
askgpt Asking GPT About R Stuff | 0.1.3 |
askpass Password Entry Utilities for R, Git, and SSH | 1.2.1 |
aslib Interface to the Algorithm Selection Benchmark Library | 0.1.2 |
asm Optimal Convex M-Estimation for Linear Regression via Antitonic Score Matching | 0.2.0 |
ASMap Linkage Map Construction using the MSTmap Algorithm | 1.0-8 |
ASMbook Functions for the Book "Applied Statistical Modeling for Ecologists" | 1.0.2 |
asmbPLS Predicting and Classifying Patient Phenotypes with Multi-Omics Data | 1.0.0 |
asnipe Animal Social Network Inference and Permutations for Ecologists | 1.1.17 |
aspace Functions for Estimating Centrographic Statistics | 4.1.2 |
aspect A General Framework for Multivariate Analysis with Optimal Scaling | 1.0-6 |
aspi Analysis of Symmetry of Parasitic Infections | 0.2.0 |
aspline Spline Regression with Adaptive Knot Selection | 0.2.0 |
aSPU Adaptive Sum of Powered Score Test | 1.50 |
asremlPlus Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences | 4.4.43 |
ASRgenomics Complementary Genomic Functions | 1.1.4 |
ASSA Applied Singular Spectrum Analysis (ASSA) | 2.0 |
assert Validate Function Arguments | 1.0.1 |
assertable Verbose Assertions for Tabular Data (Data.frames and Data.tables) | 0.2.8 |
assertions Simple Assertions for Beautiful and Customisable Error Messages | 0.2.0 |
assertive.base A Lightweight Core of the 'assertive' Package | 0.0-9 |
assertive.sets Assertions to Check Properties of Sets | 0.0-3 |
assertr Assertive Programming for R Analysis Pipelines | 3.0.1 |
assertthat Easy Pre and Post Assertions | 0.2.1 |
assessor Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes | 1.1.0 |
AssetAllocation Backtesting Simple Asset Allocation Strategies | 1.1.1 |
AssetCorr Estimating Asset Correlations from Default Data | 1.0.4 |
AssetPricing Optimal Pricing of Assets with Fixed Expiry Date | 1.0-3 |
assignPOP Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework | 1.3.0 |
assignR Infer Geographic Origin from Isotopic Data | 2.4.3 |
assist A Suite of R Functions Implementing Spline Smoothing Techniques | 3.1.9 |
ASSISTant Adaptive Subgroup Selection in Group Sequential Trials | 1.4.3 |
AssocAFC Allele Frequency Comparison | 1.0.2 |
AssocBin Measuring Association with Recursive Binning | 1.0-2 |
assocInd Implements New and Existing Association Indices for Constructing Animal Social Networks | 1.0.1 |
AssocTests Genetic Association Studies | 1.0-1 |
assorthead | 1.0.1 |
assortnet Calculate the Assortativity Coefficient of Weighted and Binary Networks | 0.20 |
AST Age-Spatial-Temporal Model | 0.1.0 |
ast2ast Translates an R Function to a C++ Function | 0.3.2 |
aster Aster Models | 1.1-3 |
aster2 Aster Models | 0.3-2 |
asteRisk Computation of Satellite Position | 1.4.3 |
AsthmaNHANES Asthma Data Sets from NHANES | 1.1.0 |
astrochron A Computational Tool for Astrochronology | 1.4 |
astrodatR Astronomical Data | 0.1 |
astroFns Astronomy: Time and Position Functions, Misc. Utilities | 4.2-1 |
astsa Applied Statistical Time Series Analysis | 2.1 |
asus Adaptive SURE Thresholding Using Side Information | 1.5.0 |
ASV Stochastic Volatility Models with or without Leverage | 1.1.4 |
AsyK Kernel Density Estimation | 1.5.5 |
asylum Data on Asylum and Resettlement for the UK | 1.1.2 |
asymLD Asymmetric Linkage Disequilibrium (ALD) for Polymorphic Genetic Data | 0.1 |
AsymmetricSORDs Asymmetric Second Order Rotatable Designs (AsymmetricSORDs) | 1.0.0 |
asymmetry Multidimensional Scaling of Asymmetric Proximities | 2.0.4 |
asymmetry.measures Asymmetry Measures for Probability Density Functions | 0.2 |
asympTest A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples | 0.1.4 |
asymptor Estimate Asymptomatic Cases via Capture/Recapture Methods | 1.1.0 |
async Coroutines: Generators / Yield, Async / Await, and Streams | 0.3.2 |
AsynchLong Regression Analysis of Sparse Asynchronous Longitudinal Data | 2.3 |
ata Automated Test Assembly | 1.1.1 |
atable Create Tables for Reporting Clinical Trials | 0.1.15 |
ATAforecasting Automatic Time Series Analysis and Forecasting using the Ata Method | 0.0.60 |
atakrig Area-to-Area Kriging | 0.9.8.1 |
ATbounds Bounding Treatment Effects by Limited Information Pooling | 0.1.0 |
ATE.ERROR Estimating ATE with Misclassified Outcomes and Mismeasured Covariates | 1.0.0 |
AteMeVs Average Treatment Effects with Measurement Error and Variable Selection for Confounders | 0.1.0 |
atime Asymptotic Timing | 2024.11.29 |
atlas Stanford 'ATLAS' Search Engine API | 1.0.0 |
atlasapprox Cell Atlas Approximations | 0.1.0 |
AtlasMaker Make Multiple 'leaflet' Maps in 'Shiny' | 0.1.0 |
AtmChile Download Air Quality and Meteorological Information of Chile | 1.0.2 |
atmopt Analysis-of-Marginal-Tail-Means | 0.1.0 |
ATNr Run Allometric Trophic Networks Models | 1.1.0 |
atom4R Tools to Handle and Publish Metadata as 'Atom' XML Format | 0.3-3 |
atpolR ATPOL Grid Implementation | 0.1.1 |
ATQ Alert Time Quality - Evaluating Timely Epidemic Metrics | 0.2.3 |
ATR Alternative Tree Representation | 0.1-1 |
atRisk At-Risk | 0.1.0 |
atrrr Wrapper for the 'AT' Protocol Behind 'Bluesky' | 0.0.4 |
aTSA Alternative Time Series Analysis | 3.1.2.1 |
attachment Deal with Dependencies | 0.4.2 |
attempt Tools for Defensive Programming | 0.3.1 |
attention Self-Attention Algorithm | 0.4.0 |
attenuation Correcting for Attenuation Due to Measurement Error | 1.0.0 |
attrib Attributable Burden of Disease | 2021.1.2 |
AUC Threshold Independent Performance Measures for Probabilistic Classifiers | 0.3.2 |
auctestr Statistical Testing for AUC Data | 1.0.0 |
auctionr Estimate First-Price Auction Model | 0.1.0 |
audio Audio Interface for R | 0.1-11 |
audiometry Standard Conform Pure Tone Audiometry (PTA) Plots | 0.3.0 |
audit Bounds for Accounting Populations | 0.1-2 |
auditor Model Audit - Verification, Validation, and Error Analysis | 1.3.5 |
audrex Automatic Dynamic Regression using Extreme Gradient Boosting | 2.0.1 |
audubon Japanese Text Processing Tools | 0.5.2 |
augmentedRCBD Analysis of Augmented Randomised Complete Block Designs | 0.1.7 |
augSIMEX Analysis of Data with Mixed Measurement Error and Misclassification in Covariates | 3.7.4 |
auk eBird Data Extraction and Processing in R | 0.7.0 |
aum Area Under Minimum of False Positives and Negatives | 2024.6.19 |
AurieLSHGaussian Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections | 0.2.0 |
auRoc Various Methods to Estimate the AUC | 0.2-1 |
ausplotsR TERN AusPlots Australian Ecosystem Monitoring Data | 2.0.5 |
AustralianPoliticians Provides Datasets About Australian Politicians | 0.1.0 |
AUtests Approximate Unconditional and Permutation Tests | 0.99 |
auth0 Authentication in Shiny with Auth0 | 0.2.3 |
auto.pca Automatic Variable Reduction Using Principal Component Analysis | 0.3 |
AutoAds Advertisement Metrics Calculation | 0.1.0 |
autoBagging Learning to Rank Bagging Workflows with Metalearning | 0.1.0 |
autocart Autocorrelation Regression Trees | 1.4.5 |
autocogs Automatic Cognostic Summaries | 0.1.4 |
autoCovariateSelection Automated Covariate Selection Using HDPS Algorithm | 1.0.0 |
AutoDeskR An Interface to the 'AutoDesk' 'API' Platform | 0.1.5 |
autoEnsemble Automated Stacked Ensemble Classifier for Severe Class Imbalance | 0.2 |
autoFC Automatic Construction of Forced-Choice Tests | 0.2.0.1001 |
autoFRK Automatic Fixed Rank Kriging | 1.4.3 |
autogam Automate the Creation of Generalized Additive Models (GAMs) | 0.0.1 |
autoGO Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations | 0.9.1 |
autoharp Semi-Automatic Grading of R and Rmd Scripts | 0.0.10 |
autohrf Automated Generation of Data-Informed GLM Models in Task-Based fMRI Data Analysis | 1.1.3 |
autoimage Multiple Heat Maps for Projected Coordinates | 2.2.3 |
autokeras R Interface to 'AutoKeras' | 1.0.12 |
automagic Automagically Document and Install Packages Necessary to Run R Code | 0.5.1 |
automap Automatic Interpolation Package | 1.1-12 |
autometric Background Resource Logging | 0.1.2 |
autoMFA Algorithms for Automatically Fitting MFA Models | 1.0.0 |
automl Deep Learning with Metaheuristic | 1.3.2 |
autoMrP Improving MrP with Ensemble Learning | 1.0.6 |
autonewsmd Auto-Generate Changelog using Conventional Commits | 0.0.9 |
AutoPipe Automated Transcriptome Classifier Pipeline: Comprehensive Transcriptome Analysis | 0.1.6 |
autoplotly Automatic Generation of Interactive Visualizations for Statistical Results | 0.1.4 |
Autoplotprotein Development of Visualization Tools for Protein Sequence | 1.1 |
AutoPlots Creating Echarts Visualizations as Easy as Possible | 1.0.0 |
autoRasch Semi-Automated Rasch Analysis | 0.2.2 |
autoReg Automatic Linear and Logistic Regression and Survival Analysis | 0.3.3 |
AutoregressionMDE Minimum Distance Estimation in Autoregressive Model | 1.0 |
AutoScore An Interpretable Machine Learning-Based Automatic Clinical Score Generator | 1.0.0 |
autoScorecard Fully Automatic Generation of Scorecards | 0.3.0 |
Autoseed Retrieve Disease-Related Genes from Public Sources | 0.1.0 |
autoshiny Automatic Transformation of an 'R' Function into a 'shiny' App | 0.0.3 |
autostats Auto Stats | 0.4.1 |
AutoStepwiseGLM Builds Stepwise GLMs via Train and Test Approach | 0.2.0 |
autostsm Automatic Structural Time Series Models | 3.1.5 |
autothresholdr An R Port of the 'ImageJ' Plugin 'Auto Threshold' | 1.4.2 |
AutoTransQF A Novel Automatic Shifted Log Transformation | 0.1.3 |
autoTS Automatic Model Selection and Prediction for Univariate Time Series | 0.9.11 |
autovi Auto Visual Inference with Computer Vision Models | 0.4.1 |
AutoWeatherIndices Calculating Weather Indices | 0.1.0 |
AutoWMM Perform the Weighted Multiplier Method on Trees | 1.0.1 |
av Working with Audio and Video in R | 0.9.3 |
available Check if the Title of a Package is Available, Appropriate and Interesting | 1.1.0 |
avar Allan Variance | 0.1.3 |
averisk Calculation of Average Population Attributable Fractions and Confidence Intervals | 1.0.3 |
avesperu Access to the List of Birds Species of Peru | 0.0.3 |
AVGAS A Variable Selection using Genetic Algorithms | 0.1.0 |
avidaR A Computational Biologist’s Toolkit To Get Data From 'avidaDB' | 1.2.1 |
AvInertia Calculate the Inertial Properties of a Flying Bird | 0.0.2 |
aVirtualTwins Adaptation of Virtual Twins Method from Jared Foster | 1.0.1 |
avocado Weekly Hass Avocado Sales Summary | 0.1.0 |
avotrex A Global Dataset of Anthropogenic Extinct Birds and their Traits: Phylogeny Builder | 1.3.0 |
aweek Convert Dates to Arbitrary Week Definitions | 1.0.3 |
aweSOM Interactive Self-Organizing Maps | 1.3 |
awinR Get Data from 'Awin' via the 'Windsor.ai' API | 0.1.0 |
AWR 'AWS' Java 'SDK' for R | 1.11.189-1 |
AWR.Kinesis Amazon 'Kinesis' Consumer Application for Stream Processing | 1.7.6 |
aws Adaptive Weights Smoothing | 2.5-6 |
aws.alexa Client for the Amazon Alexa Web Information Services API | 0.1.8 |
aws.comprehend Client for 'AWS Comprehend' | 0.2.1 |
aws.ec2metadata Get EC2 Instance Metadata | 0.2.0 |
aws.ecx Communicating with AWS EC2 and ECS using AWS REST APIs | 1.0.5 |
aws.iam AWS IAM Client Package | 0.1.8 |
aws.kms 'AWS Key Management Service' Client Package | 0.1.4 |
aws.lambda AWS Lambda Client Package | 0.2.0 |
aws.polly Client for AWS Polly | 0.1.5 |
aws.s3 'AWS S3' Client Package | 0.3.21 |
aws.signature Amazon Web Services Request Signatures | 0.6.0 |
aws.transcribe Client for 'AWS Transcribe' | 0.1.3 |
aws.translate Client for 'AWS Translate' | 0.1.4 |
aws.wrfsmn Data Processing of SMN Hi-Res Weather Forecast from 'AWS' | 0.0.3 |
awsMethods Class and Methods Definitions for Packages 'aws', 'adimpro', 'fmri', 'dwi' | 1.1-1 |
axisandallies Axis and Allies Spring | 0.1.0 |
AZIAD Analyzing Zero-Inflated and Zero-Altered Data | 0.0.3 |
azlogr Logging in 'R' and Post to 'Azure Log Analytics' Workspace | 0.0.6 |
AzureAppInsights Include Azure Application Insights in Shiny Apps | 0.3.1 |
AzureAuth Authentication Services for Azure Active Directory | 1.3.3 |
AzureCognitive Interface to Azure Cognitive Services | 1.0.1 |
AzureContainers Interface to 'Container Instances', 'Docker Registry' and 'Kubernetes' in 'Azure' | 1.3.2 |
AzureCosmosR Interface to the 'Azure Cosmos DB' 'NoSQL' Database Service | 1.0.0 |
AzureGraph Simple Interface to 'Microsoft Graph' | 1.3.4 |
AzureKeyVault Key and Secret Management in 'Azure' | 1.0.5 |
AzureKusto Interface to 'Kusto'/'Azure Data Explorer' | 1.1.3 |
azuremlsdk Interface to the 'Azure Machine Learning' 'SDK' | 1.10.0 |
AzureQstor Interface to 'Azure Queue Storage' | 1.0.1 |
AzureRMR Interface to 'Azure Resource Manager' | 2.4.4 |
AzureStor Storage Management in 'Azure' | 3.7.0 |
AzureTableStor Interface to the Table Storage Service in 'Azure' | 1.0.0 |
AzureVision Interface to Azure Computer Vision Services | 1.0.2 |
AzureVM Virtual Machines in 'Azure' | 2.2.2 |
AzureVMmetadata Interface to Azure Virtual Machine Instance Metadata | 1.0.1 |
b64 Fast and Vectorized Base 64 Engine | 0.1.3 |
babel Ribosome Profiling Data Analysis | 0.3-0 |
babelgene Gene Orthologs for Model Organisms in a Tidy Data Format | 22.9 |
babelmixr2 Use 'nlmixr2' to Interact with Open Source and Commercial Software | 0.1.5 |
babelwhale Talking to 'Docker' and 'Singularity' Containers | 1.2.0 |
babette Control 'BEAST2' | 2.3.4 |
babynames US Baby Names 1880-2017 | 1.0.1 |
babynamesIL Israel Baby Names 1948-2022 | 0.0.2 |
BACCO Bayesian Analysis of Computer Code Output (BACCO) | 2.1-0 |
BACCT Bayesian Augmented Control for Clinical Trials | 1.0 |
bacistool Bayesian Classification and Information Sharing (BaCIS) Tool for the Design of Multi-Group Phase II Clinical Trials | 1.0.0 |
backbone Extracts the Backbone from Graphs | 2.1.4 |
backpipe Backward Pipe (Right-to-Left) Operator | 0.2.3 |
backports Reimplementations of Functions Introduced Since R-3.0.0 | 1.5.0 |
backShift Learning Causal Cyclic Graphs from Unknown Shift Interventions | 0.1.4.3 |
backtest Exploring Portfolio-Based Conjectures About Financial Instruments | 0.3-4 |
baclava Bayesian Analysis of Cancer Latency with Auxiliary Variable Augmentation | 1.0 |
bacondecomp Goodman-Bacon Decomposition | 0.1.1 |
BACprior Choice of Omega in the BAC Algorithm | 2.1.1 |
bacr Bayesian Adjustment for Confounding | 1.0.1 |
badgen Fast and Simple Badge Generator | 1.0.1 |
badger Badge for R Package | 0.2.4 |
baf Block Assignment Files | 0.0.1 |
baffle Make Waffle Plots with Base Graphics | 0.2.2 |
bage Bayesian Estimation and Forecasting of Age-Specific Rates | 0.7.4 |
bagged.outliertrees Robust Explainable Outlier Detection Based on OutlierTree | 1.0.0 |
baggingbwsel Bagging Bandwidth Selection in Kernel Density and Regression Estimation | 1.1 |
baggr Bayesian Aggregate Treatment Effects | 0.7.8 |
BAGofT A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) | 1.0.0 |
baguette Efficient Model Functions for Bagging | 1.0.2 |
bagyo Philippine Tropical Cyclones Data | 0.1.1 |
bahc Filter Covariance and Correlation Matrices with Bootstrapped-Averaged Hierarchical Ansatz | 0.3.0 |
bain Bayes Factors for Informative Hypotheses | 0.2.11 |
baizer Useful Functions for Data Processing | 0.8.0 |
bakeoff Data from "The Great British Bake Off" | 0.2.0 |
baker "Nested Partially Latent Class Models" | 1.0.3 |
bakR Analyze and Compare Nucleotide Recoding RNA Sequencing Datasets | 1.0.1 |
BalanceCheck Balance Check for Multiple Covariates in Matched Observational Studies | 0.2 |
BalancedSampling Balanced and Spatially Balanced Sampling | 2.1.1 |
baldur Bayesian Hierarchical Modeling for Label-Free Proteomics | 0.0.3 |
Ball Statistical Inference and Sure Independence Screening via Ball Statistics | 1.3.13 |
BALLI Expression RNA-Seq Data Analysis Based on Linear Mixed Model | 0.2.0 |
BallMapper The Ball Mapper Algorithm | 0.2.0 |
BaM Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach" | 1.0.3 |
bama High Dimensional Bayesian Mediation Analysis | 1.3.0 |
BAMBI Bivariate Angular Mixture Models | 2.3.6 |
bambooHR A Wrapper to the 'BambooHR' API | 0.1.1 |
bamdit Bayesian Meta-Analysis of Diagnostic Test Data | 3.4.3 |
bamlss Bayesian Additive Models for Location, Scale, and Shape (and Beyond) | 1.2-5 |
bamm Species Distribution Models as a Function of Biotic, Abiotic and Movement Factors (BAM) | 0.5.0 |
BAMMtools Analysis and Visualization of Macroevolutionary Dynamics on Phylogenetic Trees | 2.1.12 |
bamp Bayesian Age-Period-Cohort Modeling and Prediction | 2.1.3 |
BANAM Bayesian Analysis of the Network Autocorrelation Model | 0.2.2 |
bandicoot Light-Weight 'python'-Like Object-Oriented System | 1.0.0 |
bandit Functions for Simple a/B Split Test and Multi-Armed Bandit Analysis | 0.5.1 |
banditpam Almost Linear-Time k-Medoids Clustering | 1.0-1 |
bandsfdp Compute Upper Prediction Bounds on the FDP in Competition-Based Setups | 1.1.0 |
banffIT Automatize Diagnosis Standardized Assignation Using the Banff Classification | 1.0.0 |
bang Bayesian Analysis, No Gibbs | 1.0.4 |
bangladesh Provides Ready to Use Shapefiles for Geographical Map of Bangladesh | 1.0.0 |
bannerCommenter Make Banner Comments with a Consistent Format | 1.0.0 |
BANOVA Hierarchical Bayesian ANOVA Models | 1.2.1 |
banter BioAcoustic eveNT classifiER | 0.9.6 |
banxicoR Download Data from the Bank of Mexico | 0.9.0 |
baorista Bayesian Aoristic Analyses | 0.2.1 |
bapred Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data) | 1.1 |
BAR Bayesian Adaptive Randomization | 0.1.1 |
BarBorGradient Function Minimum Approximator | 1.0.5 |
barcode Render Barcode Distribution Plots | 1.3.0 |
baRcodeR Label Creation for Tracking and Collecting Data from Biological Samples | 0.1.7 |
BarcodingR Species Identification using DNA Barcodes | 1.0-3 |
bardr Complete Works of William Shakespeare in Tidy Format | 0.0.9 |
bark Bayesian Additive Regression Kernels | 1.0.5 |
Barnard Barnard's Unconditional Test | 1.8 |
barrks Calculate Bark Beetle Phenology Using Different Models | 1.0.1 |
BART Bayesian Additive Regression Trees | 2.9.9 |
bartCause Causal Inference using Bayesian Additive Regression Trees | 1.0-9 |
bartcs Bayesian Additive Regression Trees for Confounder Selection | 1.2.2 |
bartMachine Bayesian Additive Regression Trees | 1.3.4.1 |
bartMachineJARs bartMachine JARs | 1.2.1 |
bartMan Create Visualisations for BART Models | 0.1.1 |
baRulho Quantifying (Animal) Sound Degradation | 2.1.2 |
BAS Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling | 1.7.5 |
basad Bayesian Variable Selection with Shrinking and Diffusing Priors | 0.3.0 |
base | 4.4.2 |
base.rms Convert Regression Between Base Function and 'rms' Package | 1.0 |
base64 Base64 Encoder and Decoder | 2.0.2 |
base64enc Tools for base64 encoding | 0.1-3 |
base64url Fast and URL-Safe Base64 Encoder and Decoder | 1.4 |
baseballr Acquiring and Analyzing Baseball Data | 1.6.0 |
basecamb Utilities for Streamlined Data Import, Imputation and Modelling | 1.1.5 |
basedosdados 'Base Dos Dados' R Client | 0.2.2 |
basefun Infrastructure for Computing with Basis Functions | 1.1-4 |
baseline Baseline Correction of Spectra | 1.3-5 |
basemaps Accessing Spatial Basemaps in R | 0.0.8 |
basemodels Baseline Models for Classification and Regression | 1.1.0 |
baseq Basic Sequence Processing Tool for Biological Data | 0.1.4 |
BaseSet Working with Sets the Tidy Way | 0.9.0 |
BaseTempSeed Estimation of Seed Germination Base Temperature in Thermal Modelling | 0.1.0 |
basetheme Themes for Base Graphics Plots | 0.1.3 |
basf Plot Simple Features with 'base' Sensibilities | 0.2.0 |
basicdrm Fit Hill Dose Response Models | 0.3.0 |
basicMCMCplots Trace Plots, Density Plots and Chain Comparisons for MCMC Samples | 0.2.7 |
basictabler Construct Rich Tables for Output to 'HTML'/'Excel' | 1.0.2 |
basifoR Retrieval and Processing of the Spanish National Forest Inventory | 0.4 |
BASiNET Classification of RNA Sequences using Complex Network Theory | 0.0.5 |
BASiNETEntropy Classification of RNA Sequences using Complex Network and Information Theory | 0.99.6 |
BaSkePro Bayesian Model to Archaeological Faunal Skeletal Profiles | 1.1.1 |
basket Basket Trial Analysis | 0.10.11 |
BasketballAnalyzeR Analysis and Visualization of Basketball Data | 0.5.0 |
baskexact Analytical Calculation of Basket Trial Operating Characteristics | 1.0.1 |
basksim Simulation-Based Calculation of Basket Trial Operating Characteristics | 1.0.0 |
BASS Bayesian Adaptive Spline Surfaces | 1.3.1 |
BaSTA Age-Specific Bayesian Survival Trajectory Analysis from Incomplete Census or Capture-Recapture/Recovery Data | 2.0.0 |
BAT Biodiversity Assessment Tools | 2.9.6 |
batata Managing Packages Removal and Installation | 0.2.1 |
batch Batching Routines in Parallel and Passing Command-Line Arguments to R | 1.1-5 |
BatchExperiments Statistical Experiments on Batch Computing Clusters | 1.4.3 |
BatchGetSymbols Downloads and Organizes Financial Data for Multiple Tickers | 2.6.4 |
BatchJobs Batch Computing with R | 1.9 |
batchLLM Batch Process LLM Text Completions Using a Data Frame | 0.2.0 |
batchmeans Consistent Batch Means Estimation of Monte Carlo Standard Errors | 1.0-4 |
batchmix Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction | 2.2.1 |
batchscr Batch Script Helpers | 0.1.0 |
batchtma Batch Effect Adjustments | 0.1.6 |
batchtools Tools for Computation on Batch Systems | 0.9.17 |
bate Computes Bias-Adjusted Treatment Effect | 0.1.0 |
batman Convert Categorical Representations of Logicals to Actual Logicals | 0.1.0 |
batsch Real-Time PCR Data Sets by Batsch et al. (2008) | 0.1.1 |
BATSS Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models | 1.0.0 |
batteryreduction An R Package for Data Reduction by Battery Reduction | 0.1.1 |
BAwiR Analysis of Basketball Data | 1.3.2 |
bayclumpr Bayesian Analysis of Clumped Isotope Datasets | 0.1.0 |
baycn Bayesian Inference for Causal Networks | 1.2.0 |
bayefdr Bayesian Estimation and Optimisation of Expected False Discovery Rate | 0.2.1 |
Bayenet Bayesian Quantile Elastic Net for Genetic Study | 0.2 |
bayes4psy User Friendly Bayesian Data Analysis for Psychology | 1.2.12 |
bayesAB Fast Bayesian Methods for AB Testing | 1.1.3 |
bayesammi Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model | 0.3.0 |
bayesanova Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models | 1.6 |
BayesARIMAX Bayesian Estimation of ARIMAX Model | 0.1.1 |
bayesassurance Bayesian Assurance Computation | 0.1.0 |
BayesBEKK Bayesian Estimation of Bivariate Volatility Model | 0.1.1 |
BayesBinMix Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions | 1.4.1 |
bayesbio Miscellaneous Functions for Bioinformatics and Bayesian Statistics | 1.0.0 |
bayesboot An Implementation of Rubin's (1981) Bayesian Bootstrap | 0.2.2 |
BayesBP Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix | 1.1 |
BayesCACE Bayesian Model for CACE Analysis | 1.2.3 |
BayesCombo Bayesian Evidence Combination | 1.0 |
BayesComm Bayesian Community Ecology Analysis | 0.1-2 |
bayescopulareg Bayesian Copula Regression | 0.1.3 |
bayescount Power Calculations and Bayesian Analysis of Count Distributions and FECRT Data using MCMC | 0.9.99-9 |
BayesCR Bayesian Analysis of Censored Regression Models Under Scale Mixture of Skew Normal Distributions | 2.1 |
bayesCT Simulation and Analysis of Adaptive Bayesian Clinical Trials | 0.99.3 |
BayesCTDesign Two Arm Bayesian Clinical Trial Design with and Without Historical Control Data | 0.6.1 |
bayesCureRateModel Bayesian Cure Rate Modeling for Time-to-Event Data | 1.3 |
BayesCVI Bayesian Cluster Validity Index | 1.0.1 |
BayesDA Functions and Datasets for the book "Bayesian Data Analysis" | 2012.04-1 |
bayesDccGarch Methods and Tools for Bayesian Dynamic Conditional Correlation GARCH(1,1) Model | 3.0.4 |
BayesDesign Bayesian Single-Arm Design with Survival Endpoints | 0.1.1 |
bayesdfa Bayesian Dynamic Factor Analysis (DFA) with 'Stan' | 1.3.3 |
BayesDIP Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials | 0.1.1 |
BayesDissolution Bayesian Models for Dissolution Testing | 0.2.1 |
bayesdistreg Bayesian Distribution Regression | 0.1.0 |
BayesDLMfMRI Statistical Analysis for Task-Based Fmri Data | 0.0.3 |
bayesDP Implementation of the Bayesian Discount Prior Approach for Clinical Trials | 1.3.6 |
bayesEO Bayesian Smoothing of Remote Sensing Image Classification | 0.2.1 |
BayesESS Determining Effective Sample Size | 0.1.19 |
BayesFactor Computation of Bayes Factors for Common Designs | 0.9.12-4.7 |
BayesFBHborrow Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function | 2.0.2 |
BayesFluxR Implementation of Bayesian Neural Networks | 0.1.3 |
BayesfMRI Spatial Bayesian Methods for Task Functional MRI Studies | 0.3.11 |
bayesforecast Bayesian Time Series Modeling with Stan | 1.0.1 |
bayesGAM Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo | 0.0.2 |
bayesGARCH Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations | 2.1.10 |
BayesGmed Bayesian Causal Mediation Analysis using 'Stan' | 0.0.3 |
BayesGOF Bayesian Modeling via Frequentist Goodness-of-Fit | 5.2 |
BayesGP Efficient Implementation of Gaussian Process in Bayesian Hierarchical Models | 0.1.3 |
BayesGPfit Fast Bayesian Gaussian Process Regression Fitting | 1.1.0 |
BayesGrowth Estimate Fish Growth Using MCMC Analysis | 1.0.0 |
BayesGWQS Bayesian Grouped Weighted Quantile Sum Regression | 0.1.1 |
bayesian Bindings for Bayesian TidyModels | 1.0.1 |
bayesianETAS Bayesian Estimation of the ETAS Model for Earthquake Occurrences | 1.0.3 |
BayesianFactorZoo Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models | 0.0.0.3 |
Bayesiangammareg Bayesian Gamma Regression: Joint Mean and Shape Modeling | 0.1.0 |
BayesianGLasso Bayesian Graphical Lasso | 0.2.0 |
BayesianLaterality Predict Brain Asymmetry Based on Handedness and Dichotic Listening | 0.1.2 |
BayesianMCPMod Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod | 1.0.1 |
BayesianMediationA Bayesian Mediation Analysis | 1.0.1 |
BayesianNetwork Bayesian Network Modeling and Analysis | 0.3.2 |
BayesianPlatformDesignTimeTrend Simulate and Analyse Bayesian Platform Trial with Time Trend | 1.2.3 |
BayesianPower Sample Size and Power for Comparing Inequality Constrained Hypotheses | 0.2.3 |
BayesianReasoning Plot Positive and Negative Predictive Values for Medical Tests | 0.4.2 |
BayesianTools General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics | 0.1.8 |
Bayesiantreg Bayesian t Regression for Modeling Mean and Scale Parameters | 1.0.1 |
bayesianVARs MCMC Estimation of Bayesian Vectorautoregressions | 0.1.5 |
bayesImageS Bayesian Methods for Image Segmentation using a Potts Model | 0.6-1 |
BayesLCA Bayesian Latent Class Analysis | 1.9 |
bayesLife Bayesian Projection of Life Expectancy | 5.3-1 |
bayeslm Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors | 1.0.1 |
BayesLN Bayesian Inference for Log-Normal Data | 0.2.10 |
BayesLogit PolyaGamma Sampling | 2.1 |
bayeslongitudinal Adjust Longitudinal Regression Models Using Bayesian Methodology | 0.1.0 |
bayesm Bayesian Inference for Marketing/Micro-Econometrics | 3.1-6 |
BayesMallows Bayesian Preference Learning with the Mallows Rank Model | 2.2.2 |
BayesMassBal Bayesian Data Reconciliation of Separation Processes | 1.1.0 |
bayesMeanScale Bayesian Post-Estimation on the Mean Scale | 0.1.4 |
bayesmeta Bayesian Random-Effects Meta-Analysis and Meta-Regression | 3.4 |
BayesMFSurv Bayesian Misclassified-Failure Survival Model | 0.1.0 |
bayesMig Bayesian Projection of Migration | 1.0-0 |
bayesmix Bayesian Mixture Models with JAGS | 0.7-6 |
BayesMixSurv Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification | 0.9.1 |
bayesmlogit A Multistate Life Table (MSLT) Methodology Based on Bayesian Approach | 1.0.1 |
BayesMortalityPlus Bayesian Mortality Modelling | 0.2.4 |
bayesmove Non-Parametric Bayesian Analyses of Animal Movement | 0.2.1 |
bayesMRM Bayesian Multivariate Receptor Modeling | 2.4.0 |
BayesMultiMode Bayesian Mode Inference | 0.7.3 |
BayesMultMeta Bayesian Multivariate Meta-Analysis | 0.1.1 |
bayesnec A Bayesian No-Effect- Concentration (NEC) Algorithm | 2.1.3.0 |
BayesNetBP Bayesian Network Belief Propagation | 1.6.1 |
BayesNSGP Bayesian Analysis of Non-Stationary Gaussian Process Models | 0.1.2 |
BayesOrdDesign Bayesian Group Sequential Design for Ordinal Data | 0.1.2 |
BayesPieceHazSelect Variable Selection in a Hierarchical Bayesian Model for a Hazard Function | 1.1.0 |
bayesplay The Bayes Factor Playground | 0.9.3 |
bayesplot Plotting for Bayesian Models | 1.11.1 |
bayespm Bayesian Statistical Process Monitoring | 0.2.0 |
bayesPO Bayesian Inference for Presence-Only Data | 0.5.0 |
bayesPop Probabilistic Population Projection | 10.0-1 |
BayesPostEst Generate Postestimation Quantities for Bayesian MCMC Estimation | 0.3.2 |
BayesPPD Bayesian Power Prior Design | 1.1.2 |
BayesPPDSurv Bayesian Power Prior Design for Survival Data | 1.0.3 |
BayesProject Fast Projection Direction for Multivariate Changepoint Detection | 1.0 |
bayesQR Bayesian Quantile Regression | 2.4 |
bayesRecon Probabilistic Reconciliation via Conditioning | 0.3.2 |
bayesreg Bayesian Regression Models with Global-Local Shrinkage Priors | 1.3 |
Bayesrel Bayesian Reliability Estimation | 0.7.7 |
BayesRep Bayesian Analysis of Replication Studies | 0.42.2 |
BayesRepDesign Bayesian Design of Replication Studies | 0.42 |
BayesReversePLLH Fits the Bayesian Piecewise Linear Log-Hazard Model | 1.5 |
BayesRGMM Bayesian Robust Generalized Mixed Models for Longitudinal Data | 2.2 |
bayesROE Bayesian Regions of Evidence | 0.2 |
BayesRS Bayes Factors for Hierarchical Linear Models with Continuous Predictors | 0.1.3 |
bayesrules Datasets and Supplemental Functions from Bayes Rules! Book | 0.0.2 |
bayess Bayesian Essentials with R | 1.6 |
BayesS5 Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5) | 1.41 |
BayesSampling Bayes Linear Estimators for Finite Population | 1.1.0 |
BayesSenMC Different Models of Posterior Distributions of Adjusted Odds Ratio | 0.1.5 |
BayesSUR Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings | 2.2-1 |
bayesSurv Bayesian Survival Regression with Flexible Error and Random Effects Distributions | 3.8 |
BayesSurvival Bayesian Survival Analysis for Right Censored Data | 0.2.0 |
BayesSurvive Bayesian Survival Models for High-Dimensional Data | 0.0.2 |
bayest Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models | 1.5 |
bayestestR Understand and Describe Bayesian Models and Posterior Distributions | 0.15.0 |
bayesTFR Bayesian Fertility Projection | 7.4-4 |
BayesTools Tools for Bayesian Analyses | 0.2.17 |
BayesTree Bayesian Additive Regression Trees | 0.3-1.5 |
BayesTreePrior Bayesian Tree Prior Simulation | 1.0.1 |
BayesTwin Bayesian Analysis of Item-Level Twin Data | 1.0 |
BayesVarSel Bayes Factors, Model Choice and Variable Selection in Linear Models | 2.2.5 |
bayesvl Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan' | 0.8.5 |
bayesWatch Bayesian Change-Point Detection for Process Monitoring with Fault Detection | 0.1.3 |
BayesX R Utilities Accompanying the Software Package BayesX | 0.3-3 |
BayesXsrc Distribution of the 'BayesX' C++ Sources | 3.0-5 |
bayesZIB Bayesian Zero-Inflated Bernoulli Regression Model | 0.0.5 |
bayfoxr Global Bayesian Foraminifera Core Top Calibration | 0.0.1 |
baygel Bayesian Shrinkage Estimators for Precision Matrices in Gaussian Graphical Models | 0.3.0 |
BayLum Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating | 0.3.2 |
bayMDS Bayesian Multidimensional Scaling and Choice of Dimension | 2.0 |
baymedr Computation of Bayes Factors for Common Biomedical Designs | 0.1.1 |
baystability Bayesian Stability Analysis of Genotype by Environment Interaction (GEI) | 0.2.0 |
BAYSTAR On Bayesian Analysis of Threshold Autoregressive Models | 0.2-10 |
baytrends Long Term Water Quality Trend Analysis | 2.0.12 |
bazar Miscellaneous Basic Functions | 1.0.11 |
BB Solving and Optimizing Large-Scale Nonlinear Systems | 2019.10-1 |
bbdetection Identification of Bull and Bear States of the Market | 1.0 |
BBEST Bayesian Estimation of Incoherent Neutron Scattering Backgrounds | 0.1-8 |
BBI Benthic Biotic Indices Calculation from Composition Data | 0.3.0 |
bbk Client for the Deutsche Bundesbank and European Central Bank APIs | 0.5.0 |
bbknnR Perform Batch Balanced KNN in R | 1.1.1 |
bbl Boltzmann Bayes Learner | 1.0.0 |
BBmisc Miscellaneous Helper Functions for B. Bischl | 1.13 |
bbmix Bayesian Model for Genotyping using RNA-Seq | 1.0.0 |
bbmle Tools for General Maximum Likelihood Estimation | 1.0.25.1 |
bbnet Create Simple Predictive Models on Bayesian Belief Networks | 1.0.1 |
bbotk Black-Box Optimization Toolkit | 1.4.1 |
bbreg Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data | 2.0.2 |
BBSSL Bayesian Bootstrap Spike-and-Slab LASSO | 0.1.0 |
bbw Blocked Weighted Bootstrap | 0.2.0 |
bc3net Gene Regulatory Network Inference with Bc3net | 1.0.4 |
BCA1SG Block Coordinate Ascent with One-Step Generalized Rosen Algorithm | 0.1.0 |
bcaboot Bias Corrected Bootstrap Confidence Intervals | 0.2-3 |
BCBCSF Bias-Corrected Bayesian Classification with Selected Features | 1.0-1 |
bcc Beta Control Charts | 1.5 |
BCC1997 Calculation of Option Prices Based on a Universal Solution | 0.1.1 |
BCClong Bayesian Consensus Clustering for Multiple Longitudinal Features | 1.0.3 |
bccp Bias Correction under Censoring Plan | 0.5.0 |
BCDAG Bayesian Structure and Causal Learning of Gaussian Directed Graphs | 1.1.1 |
bcdata Search and Retrieve Data from the BC Data Catalogue | 0.5.0 |
BCDating Business Cycle Dating and Plotting Tools | 0.9.8 |
BcDiag Diagnostics Plots for Bicluster Data | 1.0.10 |
BCEA Bayesian Cost Effectiveness Analysis | 2.4.6 |
BCEE The Bayesian Causal Effect Estimation Algorithm | 1.3.2 |
bcf Causal Inference using Bayesian Causal Forests | 2.0.2 |
bcfrailph Semiparametric Bivariate Correlated Frailty Models Fit | 0.1.1 |
bcfrailphdv Bivariate Correlated Frailty Models with Varied Variances | 0.1.1 |
bcgam Bayesian Constrained Generalised Linear Models | 1.0 |
BCgee Bias-Corrected Estimates for Generalized Linear Models for Dependent Data | 0.1.1 |
BCHM Clinical Trial Calculation Based on BCHM Design | 1.00 |
Bchron Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate Estimation, and Non-Parametric Phase Modelling | 4.7.6 |
BClustLonG A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data | 0.1.3 |
bcmaps Map Layers and Spatial Utilities for British Columbia | 2.2.0 |
bcmixed Mixed Effect Model with the Box-Cox Transformation | 0.1.4 |
bcpa Behavioral Change Point Analysis of Animal Movement | 1.3.2 |
bcputility Wrapper for SQL Server bcp Utility | 0.4.3 |
BCRA Breast Cancer Risk Assessment | 2.1.2 |
bcrm Bayesian Continual Reassessment Method for Phase I Dose-Escalation Trials | 0.5.4 |
bcROCsurface Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests | 1.0-6 |
bcrypt 'Blowfish' Key Derivation and Password Hashing | 1.2.0 |
BCSub A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering) | 0.5 |
BCT Bayesian Context Trees for Discrete Time Series | 1.2 |
bcv Cross-Validation for the SVD (Bi-Cross-Validation) | 1.0.2 |
bda Binned Data Analysis | 18.3.2 |
BDAlgo Bloom Detecting Algorithm | 0.1.0 |
bdc Biodiversity Data Cleaning | 1.1.4 |
bdDwC Darwinizer: Darwin Core (DwC) Field Names Standardization | 0.1.15 |
bde Bounded Density Estimation | 1.0.1.1 |
BDEsize Efficient Determination of Sample Size in Balanced Design of Experiments | 1.6 |
BDgraph Bayesian Structure Learning in Graphical Models using Birth-Death MCMC | 2.73 |
bdl Interface and Tools for 'BDL' API | 1.0.5 |
bdlim Bayesian Distributed Lag Interaction Models | 0.4.2 |
bdlp Transparent and Reproducible Artificial Data Generation | 0.9-2 |
bdots Bootstrapped Differences of Time Series | 1.2.5 |
BDP2 Bayesian Adaptive Designs for Phase II Trials with Binary Endpoint | 0.1.3 |
bdpar Big Data Preprocessing Architecture | 3.1.0 |
bdpv Inference and Design for Predictive Values in Diagnostic Tests | 1.3 |
bdrc Bayesian Discharge Rating Curves | 1.1.0 |
bdribs Bayesian Detection of Potential Risk Using Inference on Blinded Safety Data | 1.0.4 |
bdscale Remove Weekends and Holidays from ggplot2 Axes | 2.0.0 |
bdsmatrix Routines for Block Diagonal Symmetric Matrices | 1.3-7 |
bdsvd Block Structure Detection Using Singular Vectors | 0.2.0 |
bdvis Biodiversity Data Visualizations | 0.2.37 |
BDWreg Bayesian Inference for Discrete Weibull Regression | 1.3.0 |
BE Bioequivalence Study Data Analysis | 0.2.4 |
bea.R Bureau of Economic Analysis API | 1.0.6 |
BEACH Biometric Exploratory Analysis Creation House | 1.3.1 |
beachmat | 2.22.0 |
beadarray | 2.56.0 |
BeadDataPackR | 1.58.0 |
beadplexr Analysis of Multiplex Cytometric Bead Assays | 0.5.0 |
beakr A Minimalist Web Framework for R | 0.4.3 |
BEAMR Bootstrap Evaluation of Association Matrices | 1.1.0 |
beanplot Visualization via Beanplots (Like Boxplot/Stripchart/Violin Plot) | 1.3.1 |
beans Data on Dried Beans | 0.1.0 |
beanz Bayesian Analysis of Heterogeneous Treatment Effect | 3.1 |
bearishTrader Trading Strategies for Bearish Outlook | 1.0.2 |
beast Bayesian Estimation of Change-Points in the Slope of Multivariate Time-Series | 1.1 |
beastier Call 'BEAST2' | 2.5.2 |
BeastJar JAR Dependency for MCMC Using 'BEAST' | 1.10.6 |
beastt Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials | 0.0.1 |
beautier 'BEAUti' from R | 2.6.12 |
beaver Bayesian Model Averaging of Covariate Adjusted Negative-Binomial Dose-Response | 1.0.0 |
BED Biological Entity Dictionary (BED) | 1.6.0 |
BEDASSLE Quantifies Effects of Geo/Eco Distance on Genetic Differentiation | 1.6.1 |
BEDMatrix Extract Genotypes from a PLINK .bed File | 2.0.4 |
bedr Genomic Region Processing using Tools Such as 'BEDTools', 'BEDOPS' and 'Tabix' | 1.0.7 |
BeeBDC Occurrence Data Cleaning | 1.2.1 |
beeca Binary Endpoint Estimation with Covariate Adjustment | 0.2.0 |
BeeGUTS General Unified Threshold Model of Survival for Bees using Bayesian Inference | 1.3.0 |
beepr Easily Play Notification Sounds on any Platform | 2.0 |
beeswarm The Bee Swarm Plot, an Alternative to Stripchart | 0.4.0 |
beezdemand Behavioral Economic Easy Demand | 0.1.2 |
beezdiscounting Behavioral Economic Easy Discounting | 0.3.1 |
befproj Makes a Local Population Projection | 0.1.1 |
behaviorchange Tools for Behavior Change Researchers and Professionals | 0.5.5 |
behavr Canonical Data Structure for Behavioural Data | 0.3.2 |
BEKKs Multivariate Conditional Volatility Modelling and Forecasting | 1.4.5 |
belex Download Historical Data from the Belgrade Stock Exchange | 0.1.0 |
belg Boltzmann Entropy of a Landscape Gradient | 1.5.3 |
BElikelihood Likelihood Method for Evaluating Bioequivalence | 1.1 |
bellreg Count Regression Models Based on the Bell Distribution | 0.0.2.2 |
bench High Precision Timing of R Expressions | 1.1.3 |
benchden 28 Benchmark Densities from Berlinet/Devroye (1994) | 1.0.8 |
Benchmarking Benchmark and Frontier Analysis Using DEA and SFA | 0.32 |
benchmarkme Crowd Sourced System Benchmarks | 1.0.8 |
benchmarkmeData Data Set for the 'benchmarkme' Package | 1.0.4 |
benchr High Precise Measurement of R Expressions Execution Time | 0.2.5 |
BEND Bayesian Estimation of Nonlinear Data (BEND) | 1.0 |
bender Bender Client | 0.1.1 |
benford Benford's Analysis on Large Data Sets | 1.0.1 |
benford.analysis Benford Analysis for Data Validation and Forensic Analytics | 0.1.5 |
BenfordTests Statistical Tests for Evaluating Conformity to Benford's Law | 1.2.0 |
BENMMI Benthic Multi-Metric Index | 4.3-7 |
bennu Bayesian Estimation of Naloxone Kit Number Under-Reporting | 0.3.0 |
bentcableAR Bent-Cable Regression for Independent Data or Autoregressive Time Series | 0.3.1 |
benthos Marine Benthic Ecosystem Analysis | 1.3-8 |
BeQut Bayesian Estimation for Quantile Regression Mixed Models | 0.1.0 |
Bergm Bayesian Exponential Random Graph Models | 5.0.7 |
Bernadette Bayesian Inference and Model Selection for Stochastic Epidemics | 1.1.5 |
berryFunctions Function Collection Related to Plotting and Hydrology | 1.22.5 |
bespatial Boltzmann Entropy for Spatial Data | 0.1.2 |
BeSS Best Subset Selection in Linear, Logistic and CoxPH Models | 2.0.4 |
Bessel Computations and Approximations for Bessel Functions | 0.6-1 |
bestglm Best Subset GLM and Regression Utilities | 0.37.3 |
besthr Generating Bootstrap Estimation Distributions of HR Data | 0.3.2 |
Bestie Bayesian Estimation of Intervention Effects | 0.1.5 |
bestNormalize Normalizing Transformation Functions | 1.9.1 |
BESTree Branch-Exclusive Splits Trees | 0.5.2 |
bestridge A Comprehensive R Package for Best Subset Selection | 1.0.7 |
bestSDP Burden Estimate of Common Communicable Diseases in Settlements of Displaced Populations | 0.1.2 |
BET Binary Expansion Testing | 0.5.4 |
betaBayes Bayesian Beta Regression | 1.0.1 |
BetaBit Mini Games from Adventures of Beta and Bit | 2.2 |
betacal Beta Calibration | 0.1.0 |
betaclust A Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data | 1.0.4 |
betaDelta Confidence Intervals for Standardized Regression Coefficients | 1.0.5 |
betafunctions Functions for Working with Two- And Four-Parameter Beta Probability Distributions and Psychometric Analysis of Classifications | 1.9.0 |
betaMC Monte Carlo for Regression Effect Sizes | 1.3.2 |
betaNB Bootstrap for Regression Effect Sizes | 1.0.4 |
betapart Partitioning Beta Diversity into Turnover and Nestedness Components | 1.6 |
BetaPASS Calculate Power and Sample Size with Beta Regression | 1.1-2 |
betaper Taxonomic Uncertainty on Multivariate Analyses of Ecological Data | 1.1-2 |
betareg Beta Regression | 3.2-1 |
betaSandwich Robust Confidence Intervals for Standardized Regression Coefficients | 1.0.7 |
betaselectr Betas-Select in Structural Equation Models and Linear Models | 0.1.0 |
betategarch Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH Models | 3.3 |
bethel Bethel's algorithm. | 0.2 |
BETS Brazilian Economic Time Series | 0.4.9 |
bets.covid19 The BETS Model for Early Epidemic Data | 1.0.0 |
BetterReg Better Statistics for OLS and Binomial Logistic Regression | 0.2.0 |
BeviMed Bayesian Evaluation of Variant Involvement in Mendelian Disease | 5.10 |
bexy Visualize and Parse the Output of 'BeXY' | 0.1.3 |
BeyondBenford Compare the Goodness of Fit of Benford's and Blondeau Da Silva's Digit Distributions to a Given Dataset | 1.4 |
beyondWhittle Bayesian Spectral Inference for Time Series | 1.3.0 |
bezier Toolkit for Bezier Curves and Splines | 1.1.2 |
bfast Breaks for Additive Season and Trend | 1.7.0 |
bfboinet Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity | 0.1.0 |
BFF Bayes Factor Functions | 4.2.1 |
BFI Bayesian Federated Inference | 2.0.1 |
bfp Bayesian Fractional Polynomials | 0.0-48 |
BFpack Flexible Bayes Factor Testing of Scientific Expectations | 1.4.0 |
bfpwr Power and Sample Size Calculations for Bayes Factor Analysis | 0.1.3 |
BFS Get Data from the Swiss Federal Statistical Office | 0.5.12 |
bfsl Best-Fit Straight Line | 0.2.0 |
bfsMaps Plot Maps from Switzerland by Swiss Federal Statistical Office | 1.99.3 |
bfw Bayesian Framework for Computational Modeling | 0.4.2 |
BGData A Suite of Packages for Analysis of Big Genomic Data | 2.4.1 |
bgev Bimodal GEV Distribution with Location Parameter | 0.1 |
bgeva Binary Generalized Extreme Value Additive Models | 0.3-1 |
BGFD Bell-G and Complementary Bell-G Family of Distributions | 0.1 |
bggAnalytics BoardGameGeek's Board Game Data Analysis Tools | 0.2.1 |
BGGE Bayesian Genomic Linear Models Applied to GE Genome Selection | 0.6.5 |
BGGM Bayesian Gaussian Graphical Models | 2.1.4 |
bggum Bayesian Estimation of Generalized Graded Unfolding Model Parameters | 1.0.2 |
BGLR Bayesian Generalized Linear Regression | 1.1.3 |
bgmfiles Example BGM Files for the Atlantis Ecosystem Model | 0.0.6 |
BGmisc An R Package for Extended Behavior Genetics Analysis | 1.3.2 |
bgmm Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling | 1.8.5 |
bgms Bayesian Analysis of Networks of Binary and/or Ordinal Variables | 0.1.4.2 |
BGPhazard Markov Beta and Gamma Processes for Modeling Hazard Rates | 2.1.1 |
bgsmtr Bayesian Group Sparse Multi-Task Regression | 0.7 |
bgumbel Bimodal Gumbel Distribution | 0.0.3 |
BGVAR Bayesian Global Vector Autoregressions | 2.5.8 |
bgw Bunch-Gay-Welsch Statistical Estimation | 0.1.3 |
BH Boost C++ Header Files | 1.84.0-0 |
BHAI Estimate the Burden of Healthcare-Associated Infections | 0.99.2 |
Bhat General Likelihood Exploration | 0.9-12 |
BHH2 Useful Functions for Box, Hunter and Hunter II | 2016.05.31 |
bhm Biomarker Threshold Models | 1.18 |
bhmbasket Bayesian Hierarchical Models for Basket Trials | 0.9.5 |
BHMSMAfMRI Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI (fMRI) Data | 2.2 |
bhpm Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering | 1.7 |
BHSBVAR Structural Bayesian Vector Autoregression Models | 3.1.1 |
BI Blinding Assessment Indexes for Randomized, Controlled, Clinical Trials | 1.2.0 |
BiasCorrector A GUI to Correct Measurement Bias in DNA Methylation Analyses | 0.2.3 |
BiasedUrn Biased Urn Model Distributions | 2.0.12 |
bib2df Parse a BibTeX File to a Data Frame | 1.1.2.0 |
BiBitR R Wrapper for Java Implementation of BiBit | 0.3.1 |
biblio Interacting with BibTeX Databases | 0.0.10 |
bibliometrix Comprehensive Science Mapping Analysis | 4.3.0 |
bibliometrixData Bibliometrix Example Datasets | 0.3.0 |
biblionetwork Create Different Types of Bibliometric Networks | 0.1.0 |
bibliorefer Generator of Main Scientific References | 0.1.0 |
biblioverlap Document-Level Matching Between Bibliographic Datasets | 1.0.2 |
BibPlots Plot Functions for Use in Bibliometrics | 0.0.8 |
bibs Bayesian Inference for the Birnbaum-Saunders Distribution | 1.1.1 |
bibtex Bibtex Parser | 0.5.1 |
BicARE | 1.64.0 |
BiCausality Binary Causality Inference Framework | 0.1.4 |
biClassify Binary Classification Using Extensions of Discriminant Analysis | 1.3 |
biclust BiCluster Algorithms | 2.0.3.1 |
biclustermd Biclustering with Missing Data | 0.2.3 |
BICORN Integrative Inference of De Novo Cis-Regulatory Modules | 0.1.0 |
BiDAG Bayesian Inference for Directed Acyclic Graphs | 2.1.4 |
bidask Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices | 2.0.6 |
BiDimRegression Calculates the Bidimensional Regression Between Two 2D Configurations | 2.0.1 |
BIEN Tools for Accessing the Botanical Information and Ecology Network Database | 1.2.6 |
BifactorIndicesCalculator Bifactor Indices Calculator | 0.2.2 |
bife Binary Choice Models with Fixed Effects | 0.7.2 |
BIFIEsurvey Tools for Survey Statistics in Educational Assessment | 3.6-6 |
bifurcatingr Bifurcating Autoregressive Models | 2.1.0 |
bigalgebra 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects | 1.1.2 |
biganalytics Utilities for 'big.matrix' Objects from Package 'bigmemory' | 1.1.22 |
bigassertr Assertion and Message Functions | 0.1.6 |
bigBits Perform Boolean Operations on Large Numbers | 1.3 |
bigchess Read, Write, Manipulate, Explore Chess PGN Files and R API to UCI Chess Engines | 1.9.1 |
bigD Flexibly Format Dates and Times to a Given Locale | 0.3.0 |
bigdatadist Distances for Machine Learning and Statistics in the Context of Big Data | 1.1 |
BIGDAWG Case-Control Analysis of Multi-Allelic Loci | 3.0.3 |
bigDM Scalable Bayesian Disease Mapping Models for High-Dimensional Data | 0.5.5 |
bigergm Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks | 1.2.3 |
bigGP Distributed Gaussian Process Calculations | 0.1.8 |
BIGL Biochemically Intuitive Generalized Loewe Model | 1.9.3 |
biglasso Extending Lasso Model Fitting to Big Data | 1.6.0 |
bigleaf Physical and Physiological Ecosystem Properties from Eddy Covariance Data | 0.8.2 |
biglm Bounded Memory Linear and Generalized Linear Models | 0.9-3 |
biglmm Bounded Memory Linear and Generalized Linear Models | 0.9-3 |
bigMap Big Data Mapping | 2.3.1 |
bigmatch Making Optimal Matching Size-Scalable Using Optimal Calipers | 0.6.4 |
bigmds Multidimensional Scaling for Big Data | 3.0.0 |
bigmemory Manage Massive Matrices with Shared Memory and Memory-Mapped Files | 4.6.4 |
bigmemory.sri A Shared Resource Interface for Bigmemory Project Packages | 0.1.8 |
bignum Arbitrary-Precision Integer and Floating-Point Mathematics | 0.3.2 |
bigparallelr Easy Parallel Tools | 0.3.2 |
bigQF Quadratic Forms in Large Matrices | 1.6 |
BigQuic Big Quadratic Inverse Covariance Estimation | 1.1-13 |
bigreadr Read Large Text Files | 0.2.5 |
bigReg Generalized Linear Models (GLM) for Large Data Sets | 0.1.5 |
bigrquery An Interface to Google's 'BigQuery' 'API' | 1.5.1 |
bigrquerystorage An Interface to Google's 'BigQuery Storage' API | 1.2.1 |
bigsimr Fast Generation of High-Dimensional Random Vectors | 0.12.0 |
bigsnpr Analysis of Massive SNP Arrays | 1.12.18 |
bigsparser Sparse Matrix Format with Data on Disk | 0.7.3 |
bigsplines Smoothing Splines for Large Samples | 1.1-1 |
bigstatsr Statistical Tools for Filebacked Big Matrices | 1.6.1 |
bigstep Stepwise Selection for Large Data Sets | 1.1.1 |
bigSurvSGD Big Survival Analysis Using Stochastic Gradient Descent | 0.0.1 |
bigtabulate Table, Apply, and Split Functionality for Matrix and 'big.matrix' Objects | 1.1.9 |
bigtcr Nonparametric Analysis of Bivariate Gap Time with Competing Risks | 1.1 |
bigtime Sparse Estimation of Large Time Series Models | 0.2.3 |
bigutilsr Utility Functions for Large-scale Data | 0.3.4 |
BigVAR Dimension Reduction Methods for Multivariate Time Series | 1.1.2 |
bikeshare14 Bay Area Bike Share Trips in 2014 | 0.1.4 |
bikm1 Co-Clustering Adjusted Rand Index and Bikm1 Procedure for Contingency and Binary Data-Sets | 1.1.0 |
bild A Package for BInary Longitudinal Data | 1.2-1 |
billboard Contains Data of Billboard Hot 100 Songs | 0.1.0 |
billboarder Create Interactive Chart with the JavaScript 'Billboard' Library | 0.5.0 |
bimets Time Series and Econometric Modeling | 4.0.3 |
BimodalIndex The Bimodality Index | 1.1.9 |
binancer API Client to 'Binance' | 1.2.0 |
Binarize Binarization of One-Dimensional Data | 1.3.1 |
BinarybalancedCut Threshold Cut Point of Probability for a Binary Classifier Model | 0.2 |
BinaryDosage Creates, Merges, and Reads Binary Dosage Files | 1.0.0 |
BinaryEMVS Variable Selection for Binary Data Using the EM Algorithm | 0.1 |
BinaryEPPM Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data | 3.0 |
binaryGP Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response | 0.2 |
binaryMM Flexible Marginalized Models for Binary Correlated Outcomes | 0.1.1 |
binb 'binb' is not 'Beamer' | 0.0.7 |
BINCOR Estimate the Correlation Between Two Irregular Time Series | 0.2.0 |
binda Multi-Class Discriminant Analysis using Binary Predictors | 1.0.4 |
bindata Generation of Artificial Binary Data | 0.9-21 |
bindr Parametrized Active Bindings | 0.1.2 |
bindrcpp An 'Rcpp' Interface to Active Bindings | 0.2.3 |
binequality Methods for Analyzing Binned Income Data | 1.0.4 |
binford Binford's Hunter-Gatherer Data | 0.1.0 |
binfunest Estimates Parameters of Functions Driving Binomial Random Variables | 0.1.0 |
bingadsR Get Bing Ads Data via the 'Windsor.ai' API | 0.1.0 |
bingat Binary Graph Analysis Tools | 1.3 |
binGroup Evaluation and Experimental Design for Binomial Group Testing | 2.2-1 |
binGroup2 Identification and Estimation using Group Testing | 1.3.1 |
BinGSD Calculate Boundaries and Conditional Power for Single Arm Group Sequential Test with Binary Endpoint | 1.1 |
binhf Haar-Fisz Functions for Binomial Data | 1.0-3 |
binman A Binary Download Manager | 0.1.3 |
BinMat Processes Binary Data Obtained from Fragment Analysis (Such as AFLPs, ISSRs, and RFLPs) | 0.1.5 |
binMto Many-to-One Comparisons of Proportions | 0.0-7 |
BinNonNor Data Generation with Binary and Continuous Non-Normal Components | 1.5.3 |
BinNor Simultaneous Generation of Multivariate Binary and Normal Variates | 2.3.3 |
binom Binomial Confidence Intervals for Several Parameterizations | 1.1-1.1 |
binomCI Confidence Intervals for a Binomial Proportion | 1.2 |
binomialRF Binomial Random Forest Feature Selection | 0.1.0 |
binomialtrend Calculates the Statistical Significance of a Trend in a Set of Measurements | 0.0.0.3 |
BinOrdNonNor Concurrent Generation of Binary, Ordinal and Continuous Data | 1.5.2 |
binovisualfields Depth-Dependent Binocular Visual Fields Simulation | 0.1.1 |
binpackr Fast 1d Bin Packing | 0.1.1 |
binr Cut Numeric Values into Evenly Distributed Groups | 1.1.1 |
BinSegBstrap Piecewise Smooth Regression by Bootstrapped Binary Segmentation | 1.0-1 |
binsegRcpp Efficient Implementation of Binary Segmentation | 2023.8.31 |
binseqtest Exact Binary Sequential Designs and Analysis | 1.0.4 |
binsmooth Generate PDFs and CDFs from Binned Data | 0.2.2 |
binspp Bayesian Inference for Neyman-Scott Point Processes | 0.1.26 |
binsreg Binscatter Estimation and Inference | 1.1 |
binst Data Preprocessing, Binning for Classification and Regression | 0.2.1 |
BINtools Bayesian BIN (Bias, Information, Noise) Model of Forecasting | 0.2.0 |
bio.infer Predict Environmental Conditions from Biological Observations | 1.3-6 |
bio3d Biological Structure Analysis | 2.4-5 |
bioacoustics Analyse Audio Recordings and Automatically Extract Animal Vocalizations | 0.2.8 |
Biobase | 2.66.0 |
BiObjClass Classification of Algorithms | 0.1.0 |
biobricks Access Data Dependencies Installed Through 'Biobricks.ai' | 0.2.2 |
bioC.logs BioConductor Package Downloads Stats | 1.2.1 |
BiocBaseUtils | 1.8.0 |
BiocFileCache | 2.14.0 |
BiocGenerics | 0.52.0 |
BiocIO | 1.16.0 |
BioCircos Interactive Circular Visualization of Genomic Data using 'htmlwidgets' and 'BioCircos.js' | 0.3.4 |
bioclim Bioclimatic Analysis and Classification | 0.4.0 |
BiocManager Access the Bioconductor Project Package Repository | 1.30.25 |
BiocNeighbors | 2.0.1 |
biocompute Create and Manipulate BioCompute Objects | 1.1.1 |
BiocParallel | 1.40.0 |
BioCro Modular Crop Growth Simulations | 3.1.3 |
BiocSingular | 1.22.0 |
BiocStyle | 2.34.0 |
BiocVersion | 3.20.0 |
Biodem Biodemography Functions | 0.5 |
BiodiversityR Package for Community Ecology and Suitability Analysis | 2.16-1 |
biodosetools An R Shiny Application for Biological Dosimetry | 3.6.1 |
BIOdry Multilevel Modeling of Dendroclimatical Fluctuations | 0.9 |
biogas Process Biogas Data and Predict Biogas Production | 1.61 |
biogeom Biological Geometries | 1.4.3 |
biogram N-Gram Analysis of Biological Sequences | 1.6.3 |
biogrowth Modelling of Population Growth | 1.0.5 |
Bioi Biological Image Analysis | 0.2.10 |
bioimagetools Tools for Microscopy Imaging | 1.1.8 |
bioinactivation Mathematical Modelling of (Dynamic) Microbial Inactivation | 1.2.3 |
BioInsight Filter and Plot RNA Biotypes | 0.3.1 |
biolink Create Hyperlinks to Biological Databases and Resources | 0.1.8 |
biologicalActivityIndices Biological Activity Indices | 0.1.0 |
BioM2 Biologically Explainable Machine Learning Framework | 1.1.0 |
BioMark Find Biomarkers in Two-Class Discrimination Problems | 0.4.5 |
biomaRt | 2.62.0 |
biomartr Genomic Data Retrieval | 1.0.7 |
BIOMASS Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests | 2.1.11 |
biometryassist Functions to Assist Design and Analysis of Agronomic Experiments | 1.2.1 |
biomformat | 1.34.0 |
biomod2 Ensemble Platform for Species Distribution Modeling | 4.2-5-2 |
bionetdata Biological and Chemical Data Networks | 1.1 |
BioPET Biomarker Prognostic Enrichment Tool | 0.2.2 |
BioPETsurv Biomarker Prognostic Enrichment Tool for Time-to-Event Trial | 0.1.0 |
biopixR Extracting Insights from Biological Images | 1.2.0 |
bioPN Simulation of deterministic and stochastic biochemical reaction<U+000a>networks using Petri Nets | 1.2.0 |
BioPred An R Package for Biomarkers Analysis in Precision Medicine | 1.0.2 |
BioProbability Probability in Biostatistics | 1.0 |
bioRad Biological Analysis and Visualization of Weather Radar Data | 0.8.1 |
bioregion Comparison of Bioregionalisation Methods | 1.1.1-1 |
BioRssay Analyze Bioassays and Probit Graphs | 1.1.0 |
Bios2cor From Biological Sequences and Simulations to Correlation Analysis | 2.2.2 |
bios2mds From Biological Sequences to Multidimensional Scaling | 1.2.3 |
biosampleR Biodiversity Index Calculation and Bootstrap Confidence Interval Estimation | 1.0.4 |
biosensors.usc Distributional Data Analysis Techniques for Biosensor Data | 1.0 |
bioseq A Toolbox for Manipulating Biological Sequences | 0.1.4 |
biosignalEMG Tools for Electromyogram Signals (EMG) Analysis | 2.1.0 |
bioSNR Bioacoustic Basic Operations with Decibels and the Passive Sonar Equation | 1.0 |
biospear Biomarker Selection in Penalized Regression Models | 1.0.2 |
biostat3 Utility Functions, Datasets and Extended Examples for Survival Analysis | 0.2.2 |
Biostatistics Statistics Tutorials for Biologists | 1.0.4 |
BioStatR Initiation à La Statistique Avec R | 4.0.1 |
biostats101 Practical Functions for Biostatistics Beginners | 0.1.1 |
BiostatsUHNplus Nested Data Summary, Adverse Events and REDCap | 1.0.1 |
Biostrings | 2.74.0 |
biotic Calculation of Freshwater Biotic Indices | 0.1.2 |
BioTIMEr Tools to Use and Explore the 'BioTIME' Database | 0.2.3 |
biotools Tools for Biometry and Applied Statistics in Agricultural Science | 4.2 |
BioVenn Create Area-Proportional Venn Diagrams from Biological Lists | 1.1.3 |
biovizBase | 1.54.0 |
BioVizSeq Visualizing the Elements Within Bio-Sequences | 0.1.2 |
bipartite Visualising Bipartite Networks and Calculating Some (Ecological) Indices | 2.20 |
bipartiteD3 Interactive Bipartite Graphs | 0.3.2 |
BipartiteModularityMaximization Partition Bipartite Network into Non-Overlapping Biclusters by Optimizing Bipartite Modularity | 1.23.120.1 |
bipd Bayesian Individual Patient Data Meta-Analysis using 'JAGS' | 0.3 |
bipl5 Construct Reactive Calibrated Axes Biplots | 1.0.2 |
biplotbootGUI Bootstrap on Classical Biplots and Clustering Disjoint Biplot | 1.3 |
biplotEZ EZ-to-Use Biplots | 2.2 |
birankr Ranking Nodes in Bipartite and Weighted Networks | 1.0.1 |
birdie Bayesian Instrumental Regression for Disparity Estimation | 0.6.1 |
birdring Methods to Analyse Ring Re-Encounter Data | 1.6 |
birdscanR Migration Traffic Rate Calculation Package for 'Birdscan MR1' Radars | 0.3.0 |
birk MA Birk's Functions | 2.1.2 |
birtr The R Package for "The Basics of Item Response Theory Using R" | 1.0.0 |
biscale Tools and Palettes for Bivariate Thematic Mapping | 1.0.0 |
BISdata Download Data from the Bank for International Settlements (BIS) | 0.2-3 |
bisectr Tools to find bad commits with git bisect | 0.1.0 |
BiSEp Toolkit to Identify Candidate Synthetic Lethality | 2.3 |
bispdep Statistical Tools for Bivariate Spatial Dependence Analysis | 1.0-1 |
bisque Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation (BISQuE) for Hierarchical Models | 1.0.2 |
BisqueRNA Decomposition of Bulk Expression with Single-Cell Sequencing | 1.0.5 |
BisRNA Analysis of RNA Cytosine-5 Methylation | 0.2.2 |
bistablehistory Cumulative History Analysis for Bistable Perception Time Series | 1.1.2 |
bit Classes and Methods for Fast Memory-Efficient Boolean Selections | 4.5.0.1 |
bit64 A S3 Class for Vectors of 64bit Integers | 4.5.2 |
bite Bayesian Integrative Models of Trait Evolution | 0.3 |
bitmexr R Client for BitMEX | 0.3.3 |
bitops Bitwise Operations | 1.0-9 |
BiTrinA Binarization and Trinarization of One-Dimensional Data | 1.3.1 |
bittermelon Bitmap Tools | 2.0.2 |
Bivariate.Pareto Bivariate Pareto Models | 1.0.3 |
bivariatemaps Creates Bivariate Maps | 1.7 |
BivGeo Basu-Dhar Bivariate Geometric Distribution | 2.0.1 |
bivgeom Roy's Bivariate Geometric Distribution | 1.0 |
bivpois Bivariate Poisson Distribution | 1.0 |
BivRec Bivariate Alternating Recurrent Event Data Analysis | 1.2.1 |
BivRegBLS Tolerance Interval and EIV Regression - Method Comparison Studies | 1.1.1 |
bivrp Bivariate Residual Plots with Simulation Polygons | 1.2-2 |
BivUnifBin Generation of Bivariate Uniform Data and Its Relation to Bivariate Binary Data | 1.3.3 |
biwavelet Conduct Univariate and Bivariate Wavelet Analyses | 0.20.22 |
biwt Compute the Biweight Mean Vector and Covariance & Correlation Matrice | 1.0.1 |
bizdays Business Days Calculations and Utilities | 1.0.16 |
bizicount Bivariate Zero-Inflated Count Models Using Copulas | 1.3.3 |
bkmr Bayesian Kernel Machine Regression | 0.2.2 |
bkmrhat Parallel Chain Tools for Bayesian Kernel Machine Regression | 1.1.3 |
BKTR Bayesian Kernelized Tensor Regression | 0.2.0 |
BLA Boundary Line Analysis | 1.0.1 |
blackbox Black Box Optimization and Exploration of Parameter Space | 1.1.46 |
blackmarbler Black Marble Data and Statistics | 0.2.3 |
blaise Read and Write FWF Files in the 'Blaise' Format | 1.3.11 |
BlakerCI Blaker's Binomial and Poisson Confidence Limits | 1.0-6 |
BlandAltmanLeh Plots (Slightly Extended) Bland-Altman Plots | 0.3.1 |
blandr Bland-Altman Method Comparison | 0.6.0 |
blapsr Bayesian Inference with Laplace Approximations and P-Splines | 0.6.1 |
blaster Native R Implementation of an Efficient BLAST-Like Algorithm | 1.0.7 |
blastula Easily Send HTML Email Messages | 0.3.5 |
blatent Bayesian Latent Variable Models | 0.1.2 |
blavaan Bayesian Latent Variable Analysis | 0.5-6 |
BLCOP Black-Litterman and Copula Opinion Pooling Frameworks | 0.3.3 |
Blend Bayesian Longitudinal Regularized Semiparametric Quantile Mixed Models | 0.1.0 |
blender Analyze biotic homogenization of landscapes | 0.1.2 |
Blendstat Joint Analysis of Experiments with Mixtures and Random Effects | 1.0.5 |
blindrecalc Blinded Sample Size Recalculation | 1.0.1 |
blindreview Enables Blind Review of Database | 2.0.0 |
blink Record Linkage for Empirically Motivated Priors | 1.1.0 |
bliss Bayesian Functional Linear Regression with Sparse Step Functions | 1.1.1 |
blm Binomial Linear Regression | 2022.0.0.1 |
blme Bayesian Linear Mixed-Effects Models | 1.0-6 |
blmeco Data Files and Functions Accompanying the Book "Bayesian Data Analysis in Ecology using R, BUGS and Stan" | 1.4 |
BLModel Black-Litterman Posterior Distribution | 1.0.2 |
blob A Simple S3 Class for Representing Vectors of Binary Data ('BLOBS') | 1.2.4 |
blockcluster Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets | 4.5.5 |
BlockCov Estimation of Large Block Covariance Matrices | 0.1.1 |
blockCV Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation | 3.1-5 |
blockForest Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data | 0.2.6 |
blocklength Select an Optimal Block-Length to Bootstrap Dependent Data (Block Bootstrap) | 0.1.5 |
blockmatrix blockmatrix: Tools to solve algebraic systems with partitioned<U+000a>matrices | 1.0 |
BlockMissingData Integrating Multi-Source Block-Wise Missing Data in Model Selection | 0.1.0 |
blockmodeling Generalized and Classical Blockmodeling of Valued Networks | 1.1.5 |
BlockmodelingGUI GUI for the Generalised Blockmodeling of Valued Networks | 1.8.4 |
blockmodels Latent and Stochastic Block Model Estimation by a 'V-EM' Algorithm | 1.1.5 |
blockrand Randomization for Block Random Clinical Trials | 1.5 |
blocksdesign Nested and Crossed Block Designs for Factorial and Unstructured Treatment Sets | 4.9 |
blockTools Block, Assign, and Diagnose Potential Interference in Randomized Experiments | 0.6.5 |
blocs Estimate and Visualize Voting Blocs' Partisan Contributions | 0.1.1 |
blogdown Create Blogs and Websites with R Markdown | 1.19 |
BLOQ Impute and Analyze Data with BLOQ Observations | 0.1-1 |
blorr Tools for Developing Binary Logistic Regression Models | 0.3.1 |
BLPestimatoR Performs a BLP Demand Estimation | 0.3.4 |
BLR Bayesian Linear Regression | 1.6 |
blrm Dose Escalation Design in Phase I Oncology Trial Using Bayesian Logistic Regression Modeling | 1.0-2 |
BLRPM Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse Model | 1.0 |
BLRShiny Interactive Document for Working with Binary Logistic Regression Analysis | 0.1.0 |
BLRShiny2 Interactive Document for Working with Binary Logistic Regression Analysis | 0.1.0 |
blsBandit Data Viewer for Bureau of Labor Statistics Data | 0.1 |
blscrapeR An API Wrapper for the United States Bureau of Labor Statistics | 4.0.1 |
BLSM Bayesian Latent Space Model | 0.1.0 |
blsR Make Requests from the Bureau of Labor Statistics API | 0.5.0 |
bltm Bayesian Latent Threshold Modeling | 0.1.0 |
bluebike Blue Bike Comprehensive Data | 0.0.3 |
bluster | 1.16.0 |
BlythStillCasellaCI Blyth-Still-Casella Exact Binomial Confidence Intervals | 1.1.0 |
BMA Bayesian Model Averaging | 3.18.19 |
bmabasket Bayesian Model Averaging for Basket Trials | 0.1.2 |
BMAmevt Multivariate Extremes: Bayesian Estimation of the Spectral Measure | 1.0.5 |
bmass Bayesian Multivariate Analysis of Summary Statistics | 1.0.3 |
BMconcor CONCOR for Structural- And Regular-Equivalence Blockmodeling | 2.0.0 |
bmem Mediation Analysis with Missing Data Using Bootstrap | 2.1 |
bmemLavaan Mediation Analysis with Missing Data and Non-Normal Data | 0.5 |
bmet Bayesian Multigroup Equivalence Testing | 0.1.0 |
bmgarch Bayesian Multivariate GARCH Models | 2.0.0 |
bmggum Bayesian Multidimensional Generalized Graded Unfolding Model | 0.1.0 |
BMisc Miscellaneous Functions for Panel Data, Quantiles, and Printing Results | 1.4.6 |
bmixture Bayesian Estimation for Finite Mixture of Distributions | 1.7 |
bmlm Bayesian Multilevel Mediation | 1.3.15 |
bmm Easy and Accessible Bayesian Measurement Models Using 'brms' | 1.0.1 |
bmp Read Windows Bitmap (BMP) Images | 0.3 |
BMRBr 'BMRB' File Downloader | 0.2.0 |
BMRMM An Implementation of the Bayesian Markov (Renewal) Mixed Models | 1.0.1 |
BMS Bayesian Model Averaging Library | 0.3.5 |
bmscstan Bayesian Multilevel Single Case Models using 'Stan' | 1.2.1.0 |
bmstdr Bayesian Modeling of Spatio-Temporal Data with R | 0.7.9 |
BMT The BMT Distribution | 0.1.0.3 |
BMTAR Bayesian Approach for MTAR Models with Missing Data | 0.1.1 |
bnclassify Learning Discrete Bayesian Network Classifiers from Data | 0.4.8 |
bndesr Access Data from the Brazilian Development Bank (BNDES) | 1.0.3 |
bndovb Bounding Omitted Variable Bias Using Auxiliary Data | 1.1 |
bnlearn Bayesian Network Structure Learning, Parameter Learning and Inference | 4.9.4 |
bnma Bayesian Network Meta-Analysis using 'JAGS' | 1.6.0 |
bnmonitor An Implementation of Sensitivity Analysis in Bayesian Networks | 0.2.2 |
bnnSurvival Bagged k-Nearest Neighbors Survival Prediction | 0.1.5 |
bnpa Bayesian Networks & Path Analysis | 0.3.0 |
BNPdensity Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures | 2023.3.8 |
BNPmix Bayesian Nonparametric Mixture Models | 1.0.2 |
bnpsd Simulate Genotypes from the BN-PSD Admixture Model | 1.3.13 |
BNPTSclust A Bayesian Nonparametric Algorithm for Time Series Clustering | 2.0 |
bnRep A Repository of Bayesian Networks from the Academic Literature | 0.0.2 |
BNrich Pathway Enrichment Analysis Based on Bayesian Network | 0.1.1 |
BNSL Bayesian Network Structure Learning | 0.1.4 |
BNSP Bayesian Non- And Semi-Parametric Model Fitting | 2.2.3 |
bnstruct Bayesian Network Structure Learning from Data with Missing Values | 1.0.15 |
bnviewer Bayesian Networks Interactive Visualization and Explainable Artificial Intelligence | 0.1.6 |
boa Bayesian Output Analysis Program (BOA) for MCMC | 1.1.8-2 |
BoardGames Board Games and Tools for Building Board Games | 1.0.0 |
bodenmiller Profiling of Peripheral Blood Mononuclear Cells using CyTOF | 0.1.1 |
Bodi Boosting Diversity in Regression Ensembles | 0.1.0 |
bodsr Call the Bus Open Data Service ('BODS') API Through R | 0.1.0 |
bodycomp Percent Body Fat Values Using Anthropometric Prediction Equations | 1.0.0 |
bodycompref Reference Values for CT-Assessed Body Composition | 2.0.1 |
boggy Real-Time PCR Data Sets by Boggy et al. (2010) | 0.0.1 |
boilerpipeR Interface to the Boilerpipe Java Library | 1.3.2 |
BOIN Bayesian Optimal INterval (BOIN) Design for Single-Agent and Drug- Combination Phase I Clinical Trials | 2.7.2 |
boinet Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family | 1.1.0 |
boiwsa Seasonal Adjustment of Weekly Data | 1.1.2 |
BOJ Interface to Bank of Japan Statistics | 0.3 |
bolasso Model Consistent Lasso Estimation Through the Bootstrap | 0.3.0 |
bold Interface to Bold Systems API | 1.3.0 |
bolsec Bolivian Securities | 0.1.1 |
Bolstad Functions for Elementary Bayesian Inference | 0.2.42 |
Bolstad2 Bolstad Functions | 1.0-29 |
BoltzMM Boltzmann Machines with MM Algorithms | 0.1.4 |
bondAnalyst Methods for Fixed-Income Valuation, Risk and Return | 1.0.1 |
BondValuation Fixed Coupon Bond Valuation Allowing for Odd Coupon Periods and Various Day Count Conventions | 0.1.1 |
BoneProfileR Tools to Study Bone Compactness | 3.1 |
BonEV An Improved Multiple Testing Procedure for Controlling False Discovery Rates | 1.0 |
bonn Access INKAR Database | 1.0.2 |
bonsai Model Wrappers for Tree-Based Models | 0.3.1 |
bonsaiforest Shrinkage Based Forest Plots | 0.1.1 |
boodist Some Distributions from the 'Boost' Library and More | 1.0.0 |
bookdown Authoring Books and Technical Documents with R Markdown | 0.41 |
BoolFilter Optimal Estimation of Partially Observed Boolean Dynamical Systems | 1.0.0 |
BoolNet Construction, Simulation and Analysis of Boolean Networks | 2.1.9 |
Boom Bayesian Object Oriented Modeling | 0.9.15 |
boomer Debugging Tools to Inspect the Intermediate Steps of a Call | 0.2.0 |
BoomSpikeSlab MCMC for Spike and Slab Regression | 1.2.6 |
boostingDEA A Boosting Approach to Data Envelopment Analysis | 0.1.0 |
BoostMLR Boosting for Multivariate Longitudinal Responses | 1.0.3 |
boostmtree Boosted Multivariate Trees for Longitudinal Data | 1.5.1 |
boostrq Boosting Regression Quantiles | 1.0.0 |
boot Bootstrap Functions (Originally by Angelo Canty for S) | 1.3-31 |
boot.heterogeneity A Bootstrap-Based Heterogeneity Test for Meta-Analysis | 1.1.5 |
boot.pval Bootstrap p-Values | 0.5 |
bootcluster Bootstrapping Estimates of Clustering Stability | 0.4.1 |
bootComb Combine Parameter Estimates via Parametric Bootstrap | 1.1.2 |
bootCT Bootstrapping the ARDL Tests for Cointegration | 2.1.0 |
bootES Bootstrap Confidence Intervals on Effect Sizes | 1.3.1 |
bootf2 Simulation and Comparison of Dissolution Profiles | 0.4.1 |
bootGOF Bootstrap Based Goodness-of-Fit Tests | 0.1.0 |
bootImpute Bootstrap Inference for Multiple Imputation | 1.2.1 |
bootLR Bootstrapped Confidence Intervals for (Negative) Likelihood Ratio Tests | 1.0.2 |
BootMRMR Bootstrap-MRMR Technique for Informative Gene Selection | 0.1 |
bootnet Bootstrap Methods for Various Network Estimation Routines | 1.6 |
bootPLS Bootstrap Hyperparameter Selection for PLS Models and Extensions | 1.0.1 |
BootPR Bootstrap Prediction Intervals and Bias-Corrected Forecasting | 1.0 |
bootruin A Bootstrap Test for the Probability of Ruin in the Classical Risk Process | 1.2-4 |
bootStepAIC Bootstrap stepAIC | 1.3-0 |
bootstrap Functions for the Book "An Introduction to the Bootstrap" | 2019.6 |
bootstrapFP Bootstrap Algorithms for Finite Population Inference | 0.4.6 |
BootstrapQTL Bootstrap cis-QTL Method that Corrects for the Winner's Curse | 1.0.5 |
bootsurv Bootstrap Methods for Complete Survey Data | 0.0.1 |
bootSVD Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data | 1.1 |
bootUR Bootstrap Unit Root Tests | 1.0.4 |
bootwar Nonparametric Bootstrap Test with Pooled Resampling Card Game | 0.2.1 |
BootWPTOS Test Stationarity using Bootstrap Wavelet Packet Tests | 1.2.1 |
Boptbd Bayesian Optimal Block Designs | 1.0.5 |
bor Transforming Behavioral Observation Records into Data Matrices | 0.1.0 |
boral Bayesian Ordination and Regression AnaLysis | 2.0.2 |
borrowr Estimate Causal Effects with Borrowing Between Data Sources | 0.2.0 |
Boruta Wrapper Algorithm for All Relevant Feature Selection | 8.0.0 |
BOSO Bilevel Optimization Selector Operator | 1.0.4 |
BosonSampling Classical Boson Sampling | 0.1.5 |
BoSSA A Bunch of Structure and Sequence Analysis | 3.7 |
bossR Biomarker Optimal Segmentation System | 1.0.4 |
BOSSreg Best Orthogonalized Subset Selection (BOSS) | 0.2.0 |
botor 'AWS Python SDK' ('boto3') for R | 0.4.0 |
BoundaryStats Boundary Overlap Statistics | 2.2.0 |
BoundEdgeworth Bound on the Error of the First-Order Edgeworth Expansion | 0.1.2.1 |
boundingbox Create a Bounding Box in an Image | 1.0.1 |
boussinesq Analytic Solutions for (Ground-Water) Boussinesq Equation | 1.0.6 |
boutliers Outlier Detection and Influence Diagnostics for Meta-Analysis | 1.1-2 |
BoutrosLab.plotting.general Functions to Create Publication-Quality Plots | 7.1.2 |
box Write Reusable, Composable and Modular R Code | 1.2.0 |
box.linters Linters for 'box' Modules | 0.10.5 |
box.lsp Provides 'box' Compatibility for 'languageserver' | 0.1.3 |
boxcoxmix Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects | 0.46 |
boxfilter Filter Noisy Data | 0.2 |
boxly Interactive Box Plot | 0.1.1 |
boxplotcluster Clustering Method Based on Boxplot Statistics | 0.3 |
boxplotdbl Double Box Plot for Two-Axes Correlation | 1.4.0 |
boxr Interface for the 'Box.com API' | 0.3.6 |
bp Blood Pressure Analysis in R | 2.1.0 |
bpa Basic Pattern Analysis | 0.1.1 |
bpAcc Blood Pressure Device Accuracy Evaluation: Statistical Considerations | 0.0-2 |
bpbounds Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions | 0.1.6 |
bpca Biplot of Multivariate Data Based on Principal Components Analysis | 1.3-6 |
bpcp Beta Product Confidence Procedure for Right Censored Data | 1.4.2 |
bpDir Boxplots for Directional Data | 0.1.2 |
bpgmm Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models | 1.0.9 |
bplsr Bayesian partial least squares regression | 1.0.1 |
BPM Bayesian Purity Model to Estimate Tumor Purity | 1.0.0 |
bpmnR Support for BPMN (Business Process Management Notation) Models | 0.1.1 |
bpmnVisualizationR Visualize Process Execution Data on 'BPMN' Diagrams | 0.5.0 |
bpnreg Bayesian Projected Normal Regression Models for Circular Data | 2.0.3 |
bpp Computations Around Bayesian Predictive Power | 1.0.4 |
bpr Fitting Bayesian Poisson Regression | 1.0.8 |
BPrinStratTTE Causal Effects in Principal Strata Defined by Antidrug Antibodies | 0.0.7 |
bqror Bayesian Quantile Regression for Ordinal Models | 1.7.1 |
bqtl Bayesian QTL Mapping Toolkit | 1.0-38 |
bRacatus A Method to Estimate the Accuracy and Biogeographical Status of Georeferenced Biological Data | 2.0.0 |
BRACE Bias Reduction Through Analysis of Competing Events (BRACE) | 0.1.0 |
bracer Brace Expansions | 1.2.2 |
BRACoD.R BRACoD: Bayesian Regression Analysis of Compositional Data | 0.0.2.0 |
brada Bayesian Response-Adaptive Design Analysis | 1.0 |
BradleyTerry2 Bradley-Terry Models | 1.1-2 |
braggR Calculate the Revealed Aggregator of Probability Predictions | 0.1.1 |
braidReports Visualize Combined Action Response Surfaces and Report BRAID Analyses | 1.0.1 |
braidrm Fitting Combined Action with the BRAID Response Surface Model | 1.0.3 |
braids The Braid Groups | 1.0.0 |
BrailleR Improved Access for Blind Users | 1.0.2 |
BrainCon Inference the Partial Correlations Based on Time Series Data | 0.3.0 |
brainGraph Graph Theory Analysis of Brain MRI Data | 3.1.0 |
brainKCCA Region-Level Connectivity Network Construction via Kernel Canonical Correlation Analysis | 0.1.0 |
brainR Helper Functions to 'misc3d' and 'rgl' Packages for Brain Imaging | 1.6.0 |
BranchGLM Efficient Best Subset Selection for GLMs via Branch and Bound Algorithms | 3.0.1 |
Branching Simulation and Estimation for Branching Processes | 0.9.7 |
brandwatchR 'Brandwatch' API to R | 0.3.0 |
brant Test for Parallel Regression Assumption | 0.3-0 |
braQCA Bootstrapped Robustness Assessment for Qualitative Comparative Analysis | 1.4.11.27 |
brassica 1970s BASIC Interpreter | 1.0.2 |
bratteli Deal with Bratteli Graphs | 1.0.0 |
bravo Bayesian Screening and Variable Selection | 3.2.2 |
BrazilCrime Accesses Brazilian Public Security Data from SINESP Since 2015 | 0.2.1 |
BrazilMet Download and Processing of Automatic Weather Stations (AWS) Data of INMET-Brazil | 0.2.0 |
BRBVS Variable Selection and Ranking in Copula Survival Models Affected by General Censoring Scheme | 0.2.1 |
BRcal Boldness-Recalibration of Binary Events | 1.0.1 |
brclimr Fetch Zonal Statistics of Weather Indicators for Brazilian Municipalities | 0.2.0 |
BRDT Binomial Reliability Demonstration Tests | 0.1.0 |
brea Bayesian Recurrent Events Analysis | 0.3.1 |
bread Analyze Big Files Without Loading Them in Memory | 0.4.1 |
BREADR Estimates Degrees of Relatedness (Up to the Second Degree) for Extreme Low-Coverage Data | 1.0.2 |
breakaway Species Richness Estimation and Modeling | 4.8.4 |
breakDown Model Agnostic Explainers for Individual Predictions | 0.2.2 |
breakfast Methods for Fast Multiple Change-Point/Break-Point Detection and Estimation | 2.5 |
breakpoint An R Package for Multiple Break-Point Detection via the Cross-Entropy Method | 1.2 |
BreakPoints Identify Breakpoints in Series of Data | 1.2 |
breathtestcore Core Functions to Read and Fit 13c Time Series from Breath Tests | 0.8.8 |
breathteststan Stan-Based Fit to Gastric Emptying Curves | 0.8.8 |
bReeze Functions for Wind Resource Assessment | 0.4-4 |
BRETIGEA Brain Cell Type Specific Gene Expression Analysis | 1.0.3 |
brew Templating Framework for Report Generation | 1.0-10 |
brglm Bias Reduction in Binomial-Response Generalized Linear Models | 0.7.2 |
brglm2 Bias Reduction in Generalized Linear Models | 0.9.2 |
brickset Interface with the Brickset API for Getting Data About LEGO Sets | 2024.0.0 |
brickster R Toolkit for 'Databricks' | 0.2.5 |
bridgedist An Implementation of the Bridge Distribution with Logit-Link as in Wang and Louis (2003) | 0.1.3 |
bridger Bridge Hand Generator with Criteria Selector | 0.1.0 |
bridger2 Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data | 0.1.0 |
bridgesampling Bridge Sampling for Marginal Likelihoods and Bayes Factors | 1.1-2 |
brif A Tree and Forest Tool for Classification and Regression | 1.4.1 |
briKmeans Package for Brik, Fabrik and Fdebrik Algorithms to Initialise Kmeans | 1.0 |
BRINDA Computation of BRINDA Adjusted Micronutrient Biomarkers for Inflammation | 0.1.5 |
brinton A Graphical EDA Tool | 0.2.7 |
brio Basic R Input Output | 1.1.5 |
briqr Interface to the 'Briq' API | 0.1.0 |
BRISC Fast Inference for Large Spatial Datasets using BRISC | 1.0.6 |
brisk Bayesian Benefit Risk Analysis | 0.1.0 |
BRL Beta Record Linkage | 0.1.0 |
brlrmr Bias Reduction with Missing Binary Response | 0.1.7 |
brm Binary Regression Model | 1.1.1 |
brms Bayesian Regression Models using 'Stan' | 2.22.0 |
brms.mmrm Bayesian MMRMs using 'brms' | 1.1.1 |
brmsmargins Bayesian Marginal Effects for 'brms' Models | 0.2.0 |
brnn Bayesian Regularization for Feed-Forward Neural Networks | 0.9.3 |
Brobdingnag Very Large Numbers in R | 1.2-9 |
BrokenAdaptiveRidge Broken Adaptive Ridge Regression with Cyclops | 1.0.0 |
brokenstick Broken Stick Model for Irregular Longitudinal Data | 2.5.0 |
brolgar Browse Over Longitudinal Data Graphically and Analytically in R | 1.0.1 |
broman Karl Broman's R Code | 0.84 |
broom Convert Statistical Objects into Tidy Tibbles | 1.0.7 |
broom.helpers Helpers for Model Coefficients Tibbles | 1.17.0 |
broom.mixed Tidying Methods for Mixed Models | 0.2.9.6 |
brotli A Compression Format Optimized for the Web | 1.3.1 |
BrownDog Brown Dog R Interface | 0.2.1 |
brpop Brazilian Population Estimatives | 0.5.0 |
Brq Bayesian Analysis of Quantile Regression Models | 3.0 |
brsim Brainerd-Robinson Similarity Coefficient Matrix | 0.3 |
bruceR Broadly Useful Convenient and Efficient R Functions | 2024.6 |
brulee High-Level Modeling Functions with 'torch' | 0.3.0 |
brunnermunzel (Permuted) Brunner-Munzel Test | 2.0 |
BRVM Retrieve Historical Data of Companies Listed on the 'BRVM' Stock Exchange | 5.3.0 |
brxx Bayesian Test Reliability Estimation | 0.1.2 |
bs4cards Generate Bootstrap Cards | 0.1.1 |
bs4Dash A 'Bootstrap 4' Version of 'shinydashboard' | 2.3.4 |
BSagri Safety Assessment in Agricultural Field Trials | 0.1-10 |
bsam Bayesian State-Space Models for Animal Movement | 1.1.3 |
bsamGP Bayesian Spectral Analysis Models using Gaussian Process Priors | 1.2.5 |
bscui Build SVG Custom User Interface | 0.1.5 |
BSDA Basic Statistics and Data Analysis | 1.2.2 |
bsearchtools Binary Search Tools | 0.0.61 |
BSgenome | 1.74.0 |
BSgenome.Hsapiens.UCSC.hg19 | 1.4.3 |
BSgenome.Hsapiens.UCSC.hg38 | 1.4.5 |
bsgof Birnbaum-Saunders Goodness-of-Fit Test | 0.23.8 |
BSGW Bayesian Survival Model with Lasso Shrinkage Using Generalized Weibull Regression | 0.9.4 |
bshazard Nonparametric Smoothing of the Hazard Function | 1.2 |
bSi Modeling and Computing Biogenic Silica ('bSi') from Inland and Pelagic Sediments | 1.0.0 |
bsicons Easily Work with 'Bootstrap' Icons | 0.1.2 |
bSims Agent-Based Bird Point Count Simulator | 0.3-2 |
bsitar Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis | 0.2.1 |
bskyr Interact with 'Bluesky' Social | 0.1.2 |
BSL Bayesian Synthetic Likelihood | 3.2.5 |
bslib Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown' | 0.8.0 |
BsMD Bayes Screening and Model Discrimination | 2023.920 |
bsnsing Build Decision Trees with Optimal Multivariate Splits | 1.0.1 |
BSPADATA Bayesian Proposal to Fit Spatial Econometric Models | 1.1.0 |
BSPBSS Bayesian Spatial Blind Source Separation | 1.0.5 |
bspcov Bayesian Sparse Estimation of a Covariance Matrix | 1.0.1 |
bspec Bayesian Spectral Inference | 1.6 |
bspline B-Spline Interpolation and Regression | 2.2.2 |
bsplinePsd Bayesian Nonparametric Spectral Density Estimation Using B-Spline Priors | 0.6.0 |
bsplus Adds Functionality to the R Markdown + Shiny Bootstrap Framework | 0.1.4 |
bspm Bridge to System Package Manager | 0.5.7 |
bspmma Bayesian Semiparametric Models for Meta-Analysis | 0.1-2 |
bsreg Bayesian Spatial Regression Models | 0.0.2 |
BSS Brownian Semistationary Processes | 0.1.0 |
BSSasymp Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates | 1.2-3 |
bssm Bayesian Inference of Non-Linear and Non-Gaussian State Space Models | 2.0.2 |
bssn Birnbaum-Saunders Model | 1.0 |
BSSoverSpace Blind Source Separation for Multivariate Spatial Data using Eigen Analysis | 0.1.0 |
BSSprep Whitening Data as Preparation for Blind Source Separation | 0.1 |
bst Gradient Boosting | 0.3-24 |
bsTools Create HTML Content with Bootstrap 5 Classes and Layouts | 1.0.5 |
bstrl Bayesian Streaming Record Linkage | 1.0.2 |
bsts Bayesian Structural Time Series | 0.9.10 |
BSTZINB Association Among Disease Counts and Socio-Environmental Factors | 1.0.1 |
bsub Submitter and Monitor of the 'LSF Cluster' | 1.1.0 |
bsvars Bayesian Estimation of Structural Vector Autoregressive Models | 3.2 |
bsvarSIGNs Bayesian SVARs with Sign, Zero, and Narrative Restrictions | 1.0.1 |
BSW Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil (BSW) Algorithm | 0.1.1 |
bsynth Bayesian Synthetic Control | 1.0 |
BT (Adaptive) Boosting Trees Algorithm | 0.4 |
btb Beyond the Border - Kernel Density Estimation for Urban Geography | 0.2.0 |
BTdecayLasso Bradley-Terry Model with Exponential Time Decayed Log-Likelihood and Adaptive Lasso | 0.1.1 |
btergm Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood | 1.10.12 |
BTLLasso Modelling Heterogeneity in Paired Comparison Data | 0.1-13 |
BTM Biterm Topic Models for Short Text | 0.3.7 |
BTSPAS Bayesian Time-Stratified Population Analysis | 2024.11.1 |
BTSR Bounded Time Series Regression | 0.1.5 |
BTtest Estimate the Number of Factors in Large Nonstationary Datasets | 0.10.3 |
BTTL Bradley-Terry Transfer Learning | 1.0.0 |
BTYD Implementing BTYD Models with the Log Sum Exp Patch | 2.4.3 |
BTYDplus Probabilistic Models for Assessing and Predicting your Customer Base | 1.2.0 |
bubbleHeatmap Produces 'bubbleHeatmap' Plots for Visualising Metabolomics Data | 0.1.1 |
bubblyr Beautiful Bubbles for 'shiny' and 'rmarkdown' Backgrounds | 0.1.2 |
bucky Bucky's Archive for Data Analysis in the Social Sciences | 1.0.7 |
BUCSS Bias and Uncertainty Corrected Sample Size | 1.2.1 |
Buddle A Deep Learning for Statistical Classification and Regression Analysis with Random Effects | 2.0.1 |
buildmer Stepwise Elimination and Term Reordering for Mixed-Effects Regression | 2.11 |
buildr Organize & Run Build Scripts Comfortably | 0.1.1 |
BuildSys System for Building and Debugging C/C++ Dynamic Libraries | 1.1.2 |
bujar Buckley-James Regression for Survival Data with High-Dimensional Covariates | 0.2-11 |
bulkAnalyseR Interactive Shiny App for Bulk Sequencing Data | 1.1.0 |
bulkQC Quality Control and Outlier Identification in Bulk for Multicenter Trials | 1.1 |
bulkreadr The Ultimate Tool for Reading Data in Bulk | 1.1.1 |
bulletcp Automatic Groove Identification via Bayesian Changepoint Detection | 1.0.0 |
bulletr Algorithms for Matching Bullet Lands | 0.1 |
bullishTrader Bullish Trading Strategies Through Graphs | 1.0.1 |
bullseye Visualising Multiple Pairwise Variable Correlations and Other Scores | 0.1.0 |
bullwhipgame Bullwhip Effect Demo in Shiny | 0.1.0 |
bumbl Tools for Modeling Bumblebee Colony Growth and Decline | 1.0.3 |
bumblebee Quantify Disease Transmission Within and Between Population Groups | 0.1.0 |
bumphunter | 1.48.0 |
bunching Estimate Bunching | 0.8.6 |
bunchr Analyze Bunching in a Kink or Notch Setting | 1.2.0 |
bundesbank Download Data from Bundesbank | 0.1-12 |
bundesligR All Final Tables of the Bundesliga | 0.1.0 |
bundle Serialize Model Objects with a Consistent Interface | 0.1.2 |
bupaR Business Process Analysis in R | 0.5.4 |
bupaverse Easily Install and Load the 'bupaverse' | 0.1.0 |
burgle 'Burgle': Stealing the Necessary Parts of Model Objects | 0.1.2 |
burnr Forest Fire History Analysis | 0.6.1 |
bursa R Wrapper for Bursa Municipality Open Data Portal | 0.1.0 |
BurStFin Burns Statistics Financial | 1.3 |
BurStMisc Burns Statistics Miscellaneous | 1.1 |
bursts Markov Model for Bursty Behavior in Streams | 1.0-2 |
busdater Standard Date Calculations for Business | 0.2.0 |
BusinessDuration Calculates Business Duration Between Two Dates | 0.2.0 |
businessPlanR Simple Modelling Tools for Business Plans | 0.1-0 |
butcher Model Butcher | 0.3.4 |
butterflyOptions Trading Butterfly Options Strategies | 1.0.1 |
BuyseTest Generalized Pairwise Comparisons | 3.0.5 |
Bvalue B-Value and Empirical Equivalence Bound | 1.0 |
BVAR Hierarchical Bayesian Vector Autoregression | 1.0.5 |
bvarsv Bayesian Analysis of a Vector Autoregressive Model with Stochastic Volatility and Time-Varying Parameters | 1.1 |
bvartools Bayesian Inference of Vector Autoregressive and Error Correction Models | 0.2.4 |
BVARverse Tidy Bayesian Vector Autoregression | 0.0.1 |
bvhar Bayesian Vector Heterogeneous Autoregressive Modeling | 2.1.2 |
bvls The Stark-Parker algorithm for bounded-variable least squares | 1.4 |
bvpa Bivariate Pareto Distribution | 1.0.0 |
BVSNLP Bayesian Variable Selection in High Dimensional Settings using Nonlocal Priors | 1.1.9 |
bwd Backward Procedure for Change-Point Detection | 0.1.0 |
bWGR Bayesian Whole-Genome Regression | 2.2.13 |
BWGS BreedWheat Genomic Selection Pipeline | 0.2.1 |
bwimage Describe Image Patterns in Natural Structures | 1.3 |
BwQuant Bandwidth Selectors for Local Linear Quantile Regression | 0.1.0 |
bws Bayesian Weighted Sums | 0.1.0 |
BWStest Baumgartner Weiss Schindler Test of Equal Distributions | 0.2.3 |
bwsTools Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs | 1.2.0 |
bysykkel Get City Bike Data from Norway | 0.3.1 |
bytescircle Statistics About Bytes Contained in a File as a Circle Plot | 1.1.2 |
bzinb Bivariate Zero-Inflated Negative Binomial Model Estimator | 1.0.8 |
c060 Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models | 0.3-0 |
C19dNUTS Dataset of Regional COVID-19 Deaths per 100,000 Pop (NUTS) | 1.0.1 |
c212 Methods for Detecting Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes) | 1.0.1 |
c2c Compare Two Classifications or Clustering Solutions of Varying Structure | 0.1.0 |
c2z A Reference Manager | 0.2.0 |
c3 'C3.js' Chart Library | 0.3.0 |
c3net Inferring Large-Scale Gene Networks with C3NET | 1.1.1.1 |
C443 See a Forest for the Trees | 3.4.0 |
C50 C5.0 Decision Trees and Rule-Based Models | 0.1.8 |
ca Simple, Multiple and Joint Correspondence Analysis | 0.71.1 |
CA3variants Three-Way Correspondence Analysis Variants | 3.3.1 |
cabinets Project Specific Workspace Organization Templates | 0.6.0 |
cabootcrs Bootstrap Confidence Regions for Simple and Multiple Correspondence Analysis | 2.1.0 |
cacc Conjunctive Analysis of Case Configurations | 0.1.1 |
cache Cache and Retrieve Computation Results | 0.0.3 |
cachem Cache R Objects with Automatic Pruning | 1.1.0 |
CACIMAR Cross-Species Analysis of Cell Identities, Markers and Regulations | 1.0.0 |
cacIRT Classification Accuracy and Consistency under Item Response Theory | 1.4 |
CaDENCE Conditional Density Estimation Network Construction and Evaluation | 1.2.5 |
CADF Customer Analytics Data Formatting | 0.1 |
CADFtest A Package to Perform Covariate Augmented Dickey-Fuller Unit Root Tests | 0.3-3 |
caesar Encrypts and Decrypts Strings | 1.1.0 |
CAESAR.Suite CAESAR: a Cross-Technology and Cross-Resolution Framework for Spatial Omics Annotation | 0.1.0 |
caffsim Simulation of Plasma Caffeine Concentrations by Using Population Pharmacokinetic Model | 0.2.2 |
CAGR Compound Annual Growth Rate | 1.1.0 |
cAIC4 Conditional Akaike Information Criterion for 'lme4' and 'nlme' | 1.0 |
CAinterprTools Graphical Aid in Correspondence Analysis Interpretation and Significance Testings | 1.1.0 |
Cairo R Graphics Device using Cairo Graphics Library for Creating High-Quality Bitmap (PNG, JPEG, TIFF), Vector (PDF, SVG, PostScript) and Display (X11 and Win32) Output | 1.6-2 |
CAISEr Comparison of Algorithms with Iterative Sample Size Estimation | 1.0.17 |
calACS Calculations for All Common Subsequences | 2.2.2 |
CALANGO Comparative Analysis with Annotation-Based Genomic Components | 1.0.20 |
CalcThemAll.PRM Calculate Pesticide Risk Metric (PRM) Values from Multiple Pesticides...Calc Them All | 1.1.1 |
Calculator.LR.FNs Calculator for LR Fuzzy Numbers | 1.3 |
calculus High Dimensional Numerical and Symbolic Calculus | 1.0.1 |
calcUnique Simple Wrapper for Computationally Expensive Functions | 0.1.2 |
calendar Create, Read, Write, and Work with 'iCalendar' Files, Calendars and Scheduling Data | 0.2.0 |
calendR Ready to Print Monthly and Yearly Calendars Made with 'ggplot2' | 1.2 |
calendRio 'calendR' Fork with Additional Features (Backwards Compatible) | 0.2.0 |
CALF Coarse Approximation Linear Function | 1.0.17 |
CALIBERrfimpute Multiple Imputation Using MICE and Random Forest | 1.0-7 |
calibmsm Calibration Plots for the Transition Probabilities from Multistate Models | 1.1.1 |
calibrar Automated Parameter Estimation for Complex Models | 0.9.0 |
calibrate Calibration of Scatterplot and Biplot Axes | 1.7.7 |
calibrateBinary Calibration for Computer Experiments with Binary Responses | 0.1 |
CalibrateSSB Weighting and Estimation for Panel Data with Non-Response | 1.3.0 |
calibrationband Calibration Bands | 0.2.1 |
CalibrationCurves Calibration Performance | 2.0.3 |
calibrator Bayesian Calibration of Complex Computer Codes | 1.2-8 |
CalibratR Mapping ML Scores to Calibrated Predictions | 0.1.2 |
calidad Assesses the Quality of Estimates Made by Complex Sample Designs | 0.6.0 |
callback Computes Statistics from Discrimination Experimental Data | 0.1.1 |
callme Easily Compile and Call Inline 'C' Functions | 0.1.11 |
callr Call R from R | 3.7.6 |
callsync Recording Synchronisation, Call Detection and Assignment, Audio Analysis | 0.2.3 |
calmate Improved Allele-Specific Copy Number of SNP Microarrays for Downstream Segmentation | 0.13.0 |
calmr Canonical Associative Learning Models and their Representations | 0.6.1 |
calpassapi R Interface to Access CalPASS API | 0.0.3 |
CalSim The Calibration Simplex | 0.5.2 |
CAMAN Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN | 0.78 |
camcorder Record Your Plot History | 0.1.0 |
CamelUp 'CamelUp' Board Game as a Teaching Aid for Introductory Statistics | 2.0.3 |
camerondata Datasets from "Microeconometrics: Methods and Applications" by Cameron and Trivedi | 1.0.0 |
CAMML Cell-Typing using Variance Adjusted Mahalanobis Distances with Multi-Labeling | 1.0.0 |
campaignmanageR Connect to Campaign Manager via the 'Windsor.ai' API | 0.1.0 |
campfin Wrangle Campaign Finance Data | 1.0.11 |
campsis Generic PK/PD Simulation Platform CAMPSIS | 1.5.5 |
campsismod Generic Implementation of a PK/PD Model | 1.1.2 |
camsRad Client for CAMS Radiation Service | 0.3.0 |
camtrapdp Read and Manipulate Camera Trap Data Packages | 0.3.1 |
camtrapR Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses | 2.3.0 |
canadamaps Maps of the Political and Administrative Divisions of Canada | 0.1 |
canadianmaps Effortlessly Create Stunning Canadian Maps | 2.0.0 |
canaper Categorical Analysis of Neo- And Paleo-Endemism | 1.0.1 |
cancensus Access, Retrieve, and Work with Canadian Census Data and Geography | 0.5.7 |
CancerEvolutionVisualization Publication Quality Phylogenetic Tree Plots | 2.0.1 |
cancerGI Analyses of Cancer Gene Interaction | 1.0.1 |
CancerGram Prediction of Anticancer Peptides | 1.0.0 |
cancerR Classification of Cancer Using Administrative Data | 0.1.0 |
cancerscreening Streamline Access to Cancer Screening Data | 1.1.1 |
candisc Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis | 0.9.0 |
Canek Batch Correction of Single Cell Transcriptome Data | 0.2.5 |
Canopy Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolutionary History by Next-Generation Sequencing | 1.3.0 |
canprot Chemical Analysis of Proteins | 2.0.0 |
cansim Accessing Statistics Canada Data Table and Vectors | 0.3.17 |
CANSIM2R Directly Extracts Complete CANSIM Data Tables | 1.14.1 |
canvasXpress Visualization Package for CanvasXpress in R | 1.50.5 |
canvasXpress.data Datasets for the 'canvasXpress' Package | 1.34.2 |
cap Covariate Assisted Principal (CAP) Regression for Covariance Matrix Outcomes | 1.0 |
cape Combined Analysis of Pleiotropy and Epistasis for Diversity Outbred Mice | 3.1.2 |
caper Comparative Analyses of Phylogenetics and Evolution in R | 1.0.3 |
capesData Data on Scholarships in CAPES International Mobility Programs | 0.0.1 |
capitalR Capital Budgeting Analysis, Annuity Loan Calculations and Amortization Schedules | 1.3.0 |
capl Compute and Visualize CAPL-2 Scores and Interpretations | 1.42 |
caplot Correspondence Analysis with Geometric Frequency Interpretation | 0.2 |
capm Companion Animal Population Management | 0.14.0 |
capn Capital Asset Pricing for Nature | 1.0.0 |
CaPO4Sim A Virtual Patient Simulator in the Context of Calcium and Phosphate Homeostasis | 0.2.1 |
captr Client for the Captricity API | 0.3.0 |
capushe CAlibrating Penalities Using Slope HEuristics | 1.1.2 |
car Companion to Applied Regression | 3.1-3 |
caracas Computer Algebra | 2.1.1 |
caRamel Automatic Calibration by Evolutionary Multi Objective Algorithm | 1.4 |
carat Covariate-Adaptive Randomization for Clinical Trials | 2.2.1 |
CARBayes Spatial Generalised Linear Mixed Models for Areal Unit Data | 6.1.1 |
CARBayesdata Data Used in the Vignettes Accompanying the CARBayes and CARBayesST Packages | 3.0 |
CARBayesST Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data | 4.0 |
carbonate Interact with 'carbon.js' | 0.1.4 |
carbondate Calibration and Summarisation of Radiocarbon Dates | 1.0.1 |
carbonr Calculate Carbon-Equivalent Emissions | 0.2.1 |
carcass Estimation of the Number of Fatalities from Carcass Searches | 1.7 |
card Cardiovascular Applications in Research Data | 0.1.1 |
card.pro Lightweight Modern & Responsive Card Component for 'shiny' | 2.2.0 |
carData Companion to Applied Regression Data Sets | 3.0-5 |
cardidates Identification of Cardinal Dates in Ecological Time Series | 0.4.9 |
cardinalR Collection of Data Structures | 0.1.1 |
cards Analysis Results Data | 0.4.0 |
cardx Extra Analysis Results Data Utilities | 0.2.2 |
care High-Dimensional Regression and CAR Score Variable Selection | 1.1.11 |
care4cmodel Carbon-Related Assessment of Silvicultural Concepts | 1.0.3 |
caRecall Government of Canada Vehicle Recalls Database API Wrapper | 0.1.0 |
CareDensity Calculate the Care Density or Fragmented Care Density Given a Patient-Sharing Network | 0.1.0 |
careless Procedures for Computing Indices of Careless Responding | 1.2.2 |
caresid Correspondence Analysis Plot and Associations Visualisation | 0.1 |
caret Classification and Regression Training | 7.0-1 |
caretEnsemble Ensembles of Caret Models | 4.0.1 |
caretForecast Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms | 0.1.1 |
carfima Continuous-Time Fractionally Integrated ARMA Process for Irregularly Spaced Long-Memory Time Series Data | 2.0.2 |
cargo Develop R Packages using Rust | 0.4.9 |
caribou Estimation of Caribou Abundance Based on Radio Telemetry Data | 1.1-1 |
CARlasso Conditional Autoregressive LASSO | 0.1.2 |
CarletonStats Functions for Statistics Classes at Carleton College | 2.2 |
Carlson Carlson Elliptic Integrals and Incomplete Elliptic Integrals | 3.0.0 |
CARM Covariate-Adjusted Adaptive Randomization via Mahalanobis-Distance | 1.1.0 |
CARME CAR-MM Modelling in Stan | 0.1.1 |
CARMS Continuous Time Markov Rate Modeling for Reliability Analysis | 1.0.1 |
caROC Continuous Biomarker Evaluation with Adjustment of Covariates | 0.1.5 |
caroline A Collection of Database, Data Structure, Visualization, and Utility Functions for R | 0.9.9 |
carpenter Build Common Tables of Summary Statistics for Reports | 0.2.2 |
carrier Isolate Functions for Remote Execution | 0.1.1 |
CARRoT Predicting Categorical and Continuous Outcomes Using One in Ten Rule | 3.0.2 |
carSurv Correlation-Adjusted Regression Survival (CARS) Scores | 1.0.0 |
cartograflow Filtering Matrix for Flow Mapping | 1.0.5 |
cartogram Create Cartograms with R | 0.3.0 |
cartogramR Continuous Cartogram | 1.2-0 |
cartographer Turn Place Names into Map Data | 0.2.1 |
cartographr Crafting Print-Ready Maps and Layered Visualizations | 0.2.2 |
cartography Thematic Cartography | 3.1.4 |
casabourse Casablanca Stock Exchange Data | 2.0.0 |
Cascade Selection, Reverse-Engineering and Prediction in Cascade Networks | 2.1 |
CascadeData Experimental Data of Cascade Experiments in Genomics | 1.4 |
cascadeSelect A Cascade Select Input for 'Shiny' | 1.1.0 |
cascadess A Style Pronoun for 'htmltools' Tags | 0.2.0 |
CASCORE Covariate Assisted Spectral Clustering on Ratios of Eigenvectors | 0.1.2 |
cascsim Casualty Actuarial Society Individual Claim Simulator | 0.4 |
casebase Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression | 0.10.6 |
CaseBasedReasoning Case Based Reasoning | 0.3 |
CaseCohortCoxSurvival Case-Cohort Cox Survival Inference | 0.0.36 |
caseMatch Identify Similar Cases for Qualitative Case Studies | 1.1.0 |
cases Stratified Evaluation of Subgroup Classification Accuracy | 0.1.1 |
casino Play Casino Games | 0.1.0 |
CASMAP Detection of Statistically Significant Combinations of SNPs in Association Mapping | 0.6.1 |
CASMI 'CASMI'-Based Functions | 1.2.2 |
cassandRa Finds Missing Links and Metric Confidence Intervals in Ecological Bipartite Networks | 0.2.0 |
cassowaryr Compute Scagnostics on Pairs of Numeric Variables in a Data Set | 2.0.2 |
CAST 'caret' Applications for Spatial-Temporal Models | 1.0.2 |
castor Efficient Phylogenetics on Large Trees | 1.8.3 |
cat Analysis and Imputation of Categorical-Variable Datasets with Missing Values | 0.0-9 |
cat2cat Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset | 0.4.7 |
cata Analysis of Check-All-that-Apply (CATA) Data | 0.1.0.7 |
catalog Access the 'Spark Catalog' API via 'sparklyr' | 0.1.1 |
CatastRo Interface to the API 'Sede Electronica Del Catastro' | 0.4.0 |
catch Covariate-Adjusted Tensor Classification in High-Dimensions | 1.0.1 |
catcont Test, Identify, Select and Mutate Categorical or Continuous Values | 0.5.0 |
catdap Categorical Data Analysis Program Package | 1.3.7 |
catdata Categorical Data | 1.2.4 |
CatDataAnalysis Datasets for Categorical Data Analysis by Agresti | 0.1-5 |
CatDyn Fishery Stock Assessment by Catch Dynamics Models | 1.1-1 |
cate High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation | 1.1.1 |
Category | 2.72.0 |
categoryEncodings Category Variable Encodings | 1.4.3 |
CatEncoders Encoders for Categorical Variables | 0.1.1 |
catfun Categorical Data Analysis | 0.1.4 |
cati Community Assembly by Traits: Individuals and Beyond | 0.99.4 |
catIrt Simulate IRT-Based Computerized Adaptive Tests | 0.5.1 |
catlearn Formal Psychological Models of Categorization and Learning | 1.0 |
catmap Case-Control and TDT Meta-Analysis Package | 1.6.4 |
catmaply Heatmap for Categorical Data using 'plotly' | 0.9.4 |
caTools Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc | 1.18.3 |
CatPredi Optimal Categorisation of Continuous Variables in Prediction Models | 1.3 |
catR Generation of IRT Response Patterns under Computerized Adaptive Testing | 3.17 |
CatReg Solution Paths for Linear and Logistic Regression Models with Categorical Predictors, with SCOPE Penalty | 2.0.3 |
catregs Post-Estimation Functions for Generalized Linear Mixed Models | 1.2.2 |
cats Cohort Platform Trial Simulation | 1.0.2 |
catseyes Create Catseye Plots Illustrating the Normal Distribution of the Means | 0.2.5 |
catsim Binary and Categorical Image Similarity Index | 0.2.4 |
catSurv Computerized Adaptive Testing for Survey Research | 1.5.0 |
CATT The Cochran-Armitage Trend Test | 2.0 |
CATTexact Computation of the p-Value for the Exact Conditional Cochran-Armitage Trend Test | 0.1.1 |
CauchyCP Powerful Test for Survival Data under Non-Proportional Hazards | 0.1.1 |
cauchypca Robust Principal Component Analysis Using the Cauchy Distribution | 1.3 |
cauphy Trait Evolution on Phylogenies Using the Cauchy Process | 1.0.3 |
causact Fast, Easy, and Visual Bayesian Inference | 0.5.5 |
causal.decomp Causal Decomposition Analysis | 0.1.0 |
causalBatch Causal Batch Effects | 1.2.0 |
causalCmprsk Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks | 2.0.0 |
causaldata Example Data Sets for Causal Inference Textbooks | 0.1.4 |
causalDisco Tools for Causal Discovery on Observational Data | 0.9.1 |
causaldrf Estimating Causal Dose Response Functions | 0.4.2 |
causaleffect Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models | 1.3.15 |
CausalGAM Estimation of Causal Effects with Generalized Additive Models | 0.1-4 |
CausalGPS Matching on Generalized Propensity Scores with Continuous Exposures | 0.5.0 |
causalHyperGraph Drawing Causal Hypergraphs | 0.1.0 |
CausalImpact Inferring Causal Effects using Bayesian Structural Time-Series Models | 1.3.0 |
CausalMBSTS MBSTS Models for Causal Inference and Forecasting | 0.1.1 |
CausalMetaR Causally Interpretable Meta-Analysis | 0.1.2 |
CausalModels Causal Inference Modeling for Estimation of Causal Effects | 0.2.0 |
causaloptim An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects | 1.0.0 |
causalOT Optimal Transport Weights for Causal Inference | 1.0.2 |
causalPAF Causal Effect for Population Attributable Fractions (PAF) | 1.2.5 |
CausalQueries Make, Update, and Query Binary Causal Models | 1.3.0 |
causalsens Selection Bias Approach to Sensitivity Analysis for Causal Effects | 0.1.3 |
causalSLSE Semiparametric Least Squares Inference for Causal Effects | 0.3-1 |
causalweight Estimation Methods for Causal Inference Based on Inverse Probability Weighting | 1.1.1 |
CausCor Calculate Correlations and Estimate Causality | 0.1.3 |
CautiousLearning Control Charts with Guaranteed In-Control Performance and Cautious Parameters Learning | 1.0.1 |
CAvariants Correspondence Analysis Variants | 6.0 |
caviarpd Cluster Analysis via Random Partition Distributions | 0.3.13 |
CB2 CRISPR Pooled Screen Analysis using Beta-Binomial Test | 1.3.4 |
cbanalysis Coffee Break Descriptive Analysis | 0.2.0 |
cbass Classification -- Bayesian Adaptive Smoothing Splines | 0.1 |
cbbinom Continuous Analog of a Beta-Binomial Distribution | 0.2.0 |
CBCgrps Compare Baseline Characteristics Between Groups | 2.8.2 |
cbcTools Choice-Based Conjoint Experiment Design Generation and Power Evaluation in R | 0.5.0 |
cbinom Continuous Analog of a Binomial Distribution | 1.6 |
cbioportalR Browse and Query Clinical and Genomic Data from cBioPortal | 1.1.1 |
cbl Causal Discovery under a Confounder Blanket | 0.1.3 |
CBnetworkMA Contrast-Based Bayesian Network Meta Analysis | 0.1.0 |
CBPE Correlation-Based Penalized Estimators | 0.1.0 |
CBPS Covariate Balancing Propensity Score | 0.23 |
cbq Conditional Binary Quantile Models | 0.2.0.3 |
CBRT CBRT Data on Turkish Economy | 0.1.1 |
cbsodataR Statistics Netherlands (CBS) Open Data API Client | 1.1 |
CBSr Fits Cubic Bezier Spline Functions to Intertemporal and Risky Choice Data | 1.0.5 |
CBT Confidence Bound Target Algorithm | 1.0 |
CC Control Charts | 1.0 |
CCA Canonical Correlation Analysis | 1.2.2 |
CCAMLRGIS Antarctic Spatial Data Manipulation | 4.2.0 |
ccaPP (Robust) Canonical Correlation Analysis via Projection Pursuit | 0.3.4 |
cccd Class Cover Catch Digraphs | 1.6 |
cccm Crossed Classification Credibility Model | 0.1.0 |
cccp Cone Constrained Convex Problems | 0.3-1 |
cccrm Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures | 3.0.3 |
CCd The Cauchy-Cacoullos (Discrete Cauchy) Distribution | 1.1 |
ccda Combined Cluster and Discriminant Analysis | 1.1.1 |
ccdR Utilities for Interacting with the 'CTX' APIs | 1.1.0 |
cchs Cox Model for Case-Cohort Data with Stratified Subcohort-Selection | 0.4.5 |
cchsflow Transforming and Harmonizing CCHS Variables | 2.1.0 |
ccid Cross-Covariance Isolate Detect: a New Change-Point Method for Estimating Dynamic Functional Connectivity | 1.2.0 |
cclust Convex Clustering Methods and Clustering Indexes | 0.6-26 |
CCM Correlation Classification Method | 1.2 |
ccmEstimator Comparative Causal Mediation Estimation | 1.0.0 |
ccml Consensus Clustering for Different Sample Coverage Data | 1.4.0 |
ccmm Compositional Mediation Model | 1.0 |
CCMMR Minimization of the Convex Clustering Loss Function | 0.2.1 |
ccmReportR Wraps 'CCM' with Utility Functions | 0.1.0 |
ccoptimalmatch Implementation of Case-Control Optimal Matching | 0.1.0 |
ccostr Estimation of Mean Costs in Censored Data | 0.1.0 |
CCP Significance Tests for Canonical Correlation Analysis (CCA) | 1.2 |
ccpsyc Methods for Cross-Cultural Psychology | 0.2.6 |
ccRemover Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data | 1.0.4 |
ccrs Correct and Cluster Response Style Biased Data | 0.1.0 |
ccrtm Coupled Chain Radiative Transfer Models | 0.1.6 |
CCSRfind Convert ICD-10 Codes to CCSR Codes | 0.1.0 |
ccss Cluster Circular Systematic Sampling | 1.0 |
ccTensor CUR/CX Tensor Decomposition | 1.0.2 |
cctest Canonical Correlations and Tests of Independence | 1.1.0 |
cctools Tools for the Continuous Convolution Trick in Nonparametric Estimation | 0.1.2 |
CCTpack Consensus Analysis, Model-Based Clustering, and Cultural Consensus Theory Applications | 1.5.2 |
CCWeights Perform Weighted Linear Regression for Calibration Curve | 0.1.6 |
cd CD Data for Entity Resolution | 0.1.0 |
cdata Fluid Data Transformations | 1.2.1 |
CDatanet Econometrics of Network Data | 2.2.0 |
cdcatR Cognitive Diagnostic Computerized Adaptive Testing | 1.0.6 |
CDCPLACES Access the 'CDC PLACES' API | 1.1.8 |
cdcsis Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference | 2.0.5 |
cder Interface to the California Data Exchange Center (CDEC) | 0.3-1 |
cdfquantreg Quantile Regression for Random Variables on the Unit Interval | 1.3.1-2 |
CDFt Downscaling and Bias Correction via Non-Parametric CDF-Transform | 1.2 |
cdgd Causal Decomposition of Group Disparities | 0.3.5 |
CDGHMM Hidden Markov Models for Multivariate Panel Data | 0.1.1 |
cdlei Cause-Deleted Life Expectancy Improvement Procedure | 1.0 |
cdlTools Tools to Download and Work with USDA Cropscape Data | 1.13 |
CDM Cognitive Diagnosis Modeling | 8.2-6 |
CDMConnector Connect to an OMOP Common Data Model | 1.6.1 |
cdmTools Useful Tools for Cognitive Diagnosis Modeling | 1.0.5 |
cdom R Functions to Model CDOM Spectra | 0.1.0 |
cdparcoord Top Frequency-Based Parallel Coordinates | 1.0.1 |
cdrcR Load 'CDRC' Data | 0.1.1 |
cds Constrained Dual Scaling for Detecting Response Styles | 1.0.3 |
CDsampling 'CDsampling': Constraint Sampling in Paid Research Studies | 0.1.2 |
CDSE 'Copernicus Data Space Ecosystem' API Wrapper | 0.2.1 |
CDSS Course-Dependent Skill Structures | 0.2-0 |
CDVI Cuddy-Della Valle Index for Capturing the Instability in Time Series Data | 0.1.0 |
CDVineCopulaConditional Sampling from Conditional C- and D-Vine Copulas | 0.1.1 |
ceas Cellular Energetics Analysis Software | 1.0.0 |
CEC Cross-Entropy Clustering | 0.11.2 |
CEDA CRISPR Screen and Gene Expression Differential Analysis | 1.1.1 |
CEEMDANML CEEMDAN Decomposition Based Hybrid Machine Learning Models | 0.1.0 |
ceg Chain Event Graph | 0.1.0 |
CEGO Combinatorial Efficient Global Optimization | 2.4.3 |
celestial Collection of Common Astronomical Conversion Routines and Functions | 1.4.6 |
cellKey Consistent Perturbation of Statistical Frequency- And Magnitude Tables | 1.0.2 |
cellOrigins Finds RNASeq Source Tissues Using In Situ Hybridisation Data | 0.1.3 |
cellpypes Cell Type Pipes for Single-Cell RNA Sequencing Data | 0.3.0 |
cellranger Translate Spreadsheet Cell Ranges to Rows and Columns | 1.1.0 |
celltrackR Motion Trajectory Analysis | 1.2.1 |
cellularautomata Cellular Automata | 0.1.0 |
cellVolumeDist Functions to Fit Cell Volume Distributions and Thereby Estimate Cell Growth Rates and Division Times | 1.4 |
cellWise Analyzing Data with Cellwise Outliers | 2.5.3 |
cem Coarsened Exact Matching | 1.1.31 |
cemco Fit 'CemCO' Algorithm | 0.2 |
CenBAR Broken Adaptive Ridge AFT Model with Censored Data | 0.1.1 |
cencrne Consistent Estimation of the Number of Communities via Regularized Network Embedding | 1.0.0 |
cenGAM Censored Regression with Smooth Terms | 0.5.3 |
cenROC Estimating Time-Dependent ROC Curve and AUC for Censored Data | 2.0.0 |
censable Making Census Data More Usable | 0.0.5 |
censCov Linear Regression with a Randomly Censored Covariate | 1.0-0 |
CensMFM Finite Mixture of Multivariate Censored/Missing Data | 3.1 |
censo2017 Base de Datos de Facil Acceso del Censo 2017 de Chile (2017 Chilean Census Easy Access Database) | 0.6.2 |
censobr Download Data from Brazil's Population Census | 0.4.0 |
censorcopula Estimate Parameter of Bivariate Copula | 2.0 |
censored 'parsnip' Engines for Survival Models | 0.3.2 |
censReg Censored Regression (Tobit) Models | 0.5-38 |
CensSpatial Censored Spatial Models | 3.6 |
Census2016 Data from the Australian Census 2016 | 0.2.0 |
censusapi Retrieve Data from the Census APIs | 0.8.0 |
censusr Collect Data from the Census API | 0.0.4 |
centerline Extract Centerline from Closed Polygons | 0.1 |
centiserve Find Graph Centrality Indices | 1.0.0 |
centr Weighted and Unweighted Spatial Centers | 0.2.0 |
centrifugeR Non-Trivial Balance of Centrifuge Rotors | 0.1.7 |
CEOdata Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion Polls in Catalonia | 1.3.1.1 |
CEoptim Cross-Entropy R Package for Optimization | 1.3 |
CePa Centrality-Based Pathway Enrichment | 0.8.1 |
cepiigeodist CEPII's GeoDist Datasets | 0.1 |
cepp Context Driven Exploratory Projection Pursuit | 1.7 |
cepR Busca CEPs Brasileiros | 0.1.2 |
cepreader Read 'CEP' and Legacy 'CANOCO' Files | 1.2-2 |
cepumd Calculate Consumer Expenditure Survey (CE) Annual Estimates | 2.1.0 |
cequre Censored Quantile Regression & Monotonicity-Respecting Restoring | 1.5 |
ceramic Download Online Imagery Tiles | 0.9.5 |
cereal Serialize 'vctrs' Objects to 'JSON' | 0.1.0 |
CERFIT Causal Effect Random Forest of Interaction Tress | 0.1.0 |
CerioliOutlierDetection Outlier Detection Using the Iterated RMCD Method of Cerioli (2010) | 1.1.15 |
CeRNASeek Identification and Analysis of ceRNA Regulation | 2.1.3 |
ceRtainty Certainty Equivalent | 1.0.0 |
Certara.NLME8 Utilities for Certara's Nonlinear Mixed-Effects Modeling Engine | 3.0.1 |
Certara.R Easily Install Pharmacometric Packages and Shiny Applications Developed by Certara | 1.1.0 |
Certara.RsNLME Pharmacometric Modeling | 3.0.1 |
Certara.VPCResults Generate Visual Predictive Checks (VPC) Using 'shiny' | 3.0.2 |
ceser Cluster Estimated Standard Errors | 1.0.0 |
cesR Access the Canadian Election Study Datasets | 0.1.0 |
cetcolor CET Perceptually Uniform Colour Maps | 0.2.0 |
ceterisParibus Ceteris Paribus Profiles | 0.6 |
cfa Configural Frequency Analysis (CFA) | 0.10-1 |
CFAcoop Colony Formation Assay: Taking into Account Cellular Cooperation | 1.0.0 |
CFC Cause-Specific Framework for Competing-Risk Analysis | 1.2.0 |
cfda Categorical Functional Data Analysis | 0.12.0 |
cfdecomp Counterfactual Decomposition: MC Integration of the G-Formula | 0.4.0 |
CFF Simple Similarity for User-Based Collaborative Filtering Systems | 1.0 |
cffdrs Canadian Forest Fire Danger Rating System | 1.9.0 |
cffr Generate Citation File Format ('cff') Metadata for R Packages | 1.1.1 |
cfid Identification of Counterfactual Queries in Causal Models | 0.1.7 |
CFilt Recommendation by Collaborative Filtering | 0.3.0 |
cfma Causal Functional Mediation Analysis | 1.0 |
cfmortality Cystic Fibrosis Survival Prediction Model Based on Stanojevic Model | 0.3.0 |
CFO CFO-Type Designs in Phase I/II Clinical Trials | 2.2.0 |
cforward Forward Selection using Concordance/C-Index | 0.1.0 |
cfr Estimate Disease Severity and Case Ascertainment | 0.1.2 |
cft Climate Futures Toolbox | 1.0.0 |
CFtime Using CF-Compliant Calendars with Climate Projection Data | 1.4.1 |
cg Compare Groups, Analytically and Graphically | 1.0-3 |
cgaim Constrained Groupwise Additive Index Models | 1.0.1 |
cgal4h 'CGAL' Version 4 C++ Header Files | 0.1.0 |
cgam Constrained Generalized Additive Model | 1.21 |
cgAUC Calculate AUC-type measure when gold standard is continuous and<U+000a>the corresponding optimal linear combination of variables with<U+000a>respect to it. | 1.2.1 |
cgdsr R-Based API for Accessing the MSKCC Cancer Genomics Data Server (CGDS) | 1.3.0 |
CGE Computing General Equilibrium | 0.3.3 |
CGGP Composite Grid Gaussian Processes | 1.0.4 |
cglasso Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values | 2.0.7 |
cglm Fits Conditional Generalized Linear Models | 1.1 |
cgmanalysis Clean and Analyze Continuous Glucose Monitor Data | 2.7.7 |
CGManalyzer Continuous Glucose Monitoring Data Analyzer | 1.3.1 |
cgmquantify Analyzing Glucose and Glucose Variability | 0.1.0 |
CGNM Cluster Gauss-Newton Method | 0.9.0 |
CGP Composite Gaussian Process Models | 2.1-1 |
CGPfunctions Powell Miscellaneous Functions for Teaching and Learning Statistics | 0.6.3 |
CGR Compound Growth Rate for Capturing the Growth Rate Over the Period | 0.1.0 |
cgwtools Miscellaneous Tools | 4.1 |
ch About some Small Functions | 0.1.0.2 |
chainbinomial Chain Binomial Models for Analysis of Infectious Disease Data | 0.1.5 |
ChainLadder Statistical Methods and Models for Claims Reserving in General Insurance | 0.2.19 |
chameleon Automatic Colors for Multi-Dimensional Data | 0.2-3 |
chandwich Chandler-Bate Sandwich Loglikelihood Adjustment | 1.1.6 |
changepoint Methods for Changepoint Detection | 2.3 |
changepoint.geo Geometrically Inspired Multivariate Changepoint Detection | 1.0.2 |
changepoint.influence Package to Calculate the Influence of the Data on a Changepoint Segmentation | 1.0.2 |
changepoint.np Methods for Nonparametric Changepoint Detection | 1.0.5 |
changepoints A Collection of Change-Point Detection Methods | 1.1.0 |
changepointsVar Change-Points Detections for Changes in Variance | 0.1.1 |
ChangePointTaylor Identify Changes in Mean | 0.3 |
ChangepointTesting Change Point Estimation for Clustered Signals | 1.1 |
changepointTests Change Point Tests for Joint Distributions and Copulas | 0.1.7 |
changer Change R Package Name | 0.0.5 |
changeRangeR Change Metrics for Species Geographic Ranges | 1.1.0 |
changeS S-Curve Fit for Changepoint Analysis | 1.0.1 |
ChannelAttribution Markov Model for Online Multi-Channel Attribution | 2.0.7 |
ChannelAttributionApp Shiny Web Application for the Multichannel Attribution Problem | 1.3 |
chantrics Loglikelihood Adjustments for Econometric Models | 1.0.0 |
Chaos01 0-1 Test for Chaos | 1.2.1 |
ChaosGame Chaos Game | 1.4 |
charcuterie Handle Strings as Vectors of Characters | 0.0.6 |
charlatan Make Fake Data | 0.6.1 |
charlesschwabapi Wrapper Functions Around 'Charles Schwab Individual Trader API' | 1.0.4 |
chartql Simplified Language for Plots and Charts | 0.1.0 |
chatAI4R Chat-Based Interactive Artificial Intelligence for R | 0.2.10 |
chatgpt Interface to 'ChatGPT' from R | 0.2.3 |
chattr Interact with Large Language Models in 'RStudio' | 0.2.0 |
cheapr Simple Functions to Save Time and Memory | 0.9.92 |
cheatsheet Download R Cheat Sheets Locally | 0.1.2 |
checkarg Check the Basic Validity of a (Function) Argument | 0.1.0 |
CheckDigit Calculate and Verify Check Digits | 1.0.0 |
checkdown Check-Fields and Check-Boxes for 'rmarkdown' | 0.0.12 |
checker Checks 'R' Configuration Set Up Correctly Before Class | 0.1.3 |
checkglobals Static Analysis of R-Code Dependencies | 0.1.0 |
checkhelper Deal with Check Outputs | 0.1.1 |
checkLuhn Checks if a Number is Valid Using the Luhn Algorithm | 1.1.0 |
checkmate Fast and Versatile Argument Checks | 2.3.2 |
checkpoint Install Packages from Snapshots on the Checkpoint Server for Reproducibility | 1.0.2 |
checkthat Intuitive Unit Testing Tools for Data Manipulation | 0.1.0 |
cheddar Analysis and Visualisation of Ecological Communities | 0.1-639 |
cheem Interactively Explore Local Explanations with the Radial Tour | 0.4.0.0 |
cheese Tools for Working with Data During Statistical Analysis | 0.1.2 |
chem.databases Collection of 3 Chemical Databases from Public Sources | 1.0.0 |
chem16S Chemical Metrics for Microbial Communities | 1.1.0 |
chemCal Calibration Functions for Analytical Chemistry | 0.2.3 |
chemdeg Analysis of Chemical Degradation Kinetic Data | 0.1.4 |
CHEMIST Causal Inference with High-Dimensional Error-Prone Covariates and Misclassified Treatments | 0.1.5 |
ChemmineR | 3.58.0 |
chemmodlab A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models | 2.0.0 |
chemodiv Analysing Chemodiversity of Phytochemical Data | 0.3.0 |
chemometrics Multivariate Statistical Analysis in Chemometrics | 1.4.4 |
ChemoSpec Exploratory Chemometrics for Spectroscopy | 6.1.10 |
ChemoSpec2D Exploratory Chemometrics for 2D Spectroscopy | 0.5.0 |
ChemoSpecUtils Functions Supporting Packages ChemoSpec and ChemoSpec2D | 1.0.4 |
ChernoffDist Chernoff's Distribution | 0.1.0 |
cherry Multiple Testing Methods for Exploratory Research | 0.6-14 |
cherryblossom Cherry Blossom Run Race Results | 0.1.0 |
chess Read, Write, Create and Explore Chess Games | 1.0.1 |
chessboard Create Network Connections Based on Chess Moves | 0.1 |
ChessGmooG FIDE Chess Players Ratings for 2015 and 2020 | 0.1.0 |
chest Change-in-Estimate Approach to Assess Confounding Effects | 0.3.7 |
ChestVolume Estimate the Chest Volume with Markers Data | 1.0.0 |
chevron Standard TLGs for Clinical Trials Reporting | 0.2.7 |
CHFF Closest History Flow Field Forecasting for Bivariate Time Series | 0.1.0 |
chi The Chi Distribution | 0.1 |
chicane Capture Hi-C Analysis Engine | 0.1.8 |
childdevdata Child Development Data | 1.1.0 |
childesr Accessing the 'CHILDES' Database | 0.2.3 |
childfree Access and Harmonize Childfree Demographic Data | 0.0.3 |
childsds Data and Methods Around Reference Values in Pediatrics | 0.8.0 |
chilemapas Mapas de las Divisiones Politicas y Administrativas de Chile (Maps of the Political and Administrative Divisions of Chile) | 0.3.0 |
ChillModels Processing Chill and Heat Models for Temperate Fruit Trees | 1.0.2 |
chillR Statistical Methods for Phenology Analysis in Temperate Fruit Trees | 0.76 |
chinese.misc Miscellaneous Tools for Chinese Text Mining and More | 0.2.3 |
ChineseNames Chinese Name Database 1930-2008 | 2023.8 |
chipPCR Toolkit of Helper Functions to Pre-Process Amplification Data | 1.0-2 |
ChIPseeker | 1.42.0 |
chirps API Client for CHIRPS and CHIRTS | 0.1.4 |
chisq.posthoc.test A Post Hoc Analysis for Pearson's Chi-Squared Test for Count Data | 0.1.2 |
chisquare Chi-Square and G-Square Test of Independence, Power and Residual Analysis, Measures of Categorical Association | 1.1.1 |
chk Check User-Supplied Function Arguments | 0.9.2 |
chkptstanr Checkpoint MCMC Sampling with 'Stan' | 0.1.1 |
chlorpromazineR Convert Antipsychotic Doses to Chlorpromazine Equivalents | 0.2.0 |
CHMM Coupled Hidden Markov Models | 0.1.1 |
CHNCapitalStock Compute Chinese Capital Stocks | 0.1.1 |
chngpt Estimation and Hypothesis Testing for Threshold Regression | 2024.11-15 |
CHNOSZ Thermodynamic Calculations and Diagrams for Geochemistry | 2.1.0 |
choiceDes Design Functions for Choice Studies | 0.9-3 |
ChoiceModelR Choice Modeling in R | 1.3.1 |
CHOIRBM Plots the CHOIR Body Map | 0.0.2 |
cholera Amend, Augment and Aid Analysis of John Snow's Cholera Map | 0.8.0 |
CholWishart Cholesky Decomposition of the Wishart Distribution | 1.1.4 |
chooseGCM Selecting General Circulation Models for Species Distribution Modeling | 1.0.1 |
choosepc Choose the Number of Principal Components via Recistruction Error | 1.0 |
choplump Permutation Test for Some Positive and Many Zero Responses | 1.1.2 |
chopthin The Chopthin Resampler | 0.2.2 |
ChoR Chordalysis R Package | 0.0-4 |
chords Estimation in Respondent Driven Samples | 0.95.4 |
choroplethr Simplify the Creation of Choropleth Maps in R | 3.7.3 |
choroplethrAdmin1 Contains an Administrative-Level-1 Map of the World | 1.1.1 |
choroplethrMaps Contains Maps Used by the 'choroplethr' Package | 1.0.1 |
chouca A Stochastic Cellular Automaton Engine | 0.1.99 |
christmas Generation of Different Animated Christmas Cards | 1.4.0 |
chromConverter Chromatographic File Converter | 0.2.1 |
chromer Interface to Chromosome Counts Database API | 0.8 |
chromoMap Interactive Genomic Visualization of Biological Data | 4.1.1 |
chromote Headless Chrome Web Browser Interface | 0.3.1 |
chromseq Split Chromosome 'Fasta' File | 0.1.3 |
chron Chronological Objects which Can Handle Dates and Times | 2.3-61 |
chronicle Grammar for Creating R Markdown Reports | 0.3 |
chronicler Add Logging to Functions | 0.2.2 |
chronochrt Creating Chronological Charts | 0.1.3 |
chronosphere Evolving Earth System Variables | 0.6.1 |
chunked Chunkwise Text-File Processing for 'dplyr' | 0.6.0 |
chunkhooks Chunk Hooks for 'R Markdown' | 0.0.1 |
chunkR Read Tables in Chunks | 1.1.1 |
chyper Functions for Conditional Hypergeometric Distributions | 0.3.1 |
cia Learn and Apply Directed Acyclic Graphs for Causal Inference | 1.0.0 |
CIAAWconsensus Isotope Ratio Meta-Analysis | 1.3 |
CIARA Cluster Independent Algorithm for Rare Cell Types Identification | 0.1.0 |
CICA Clusterwise Independent Component Analysis | 1.1.1 |
ciCalibrate Calibration of Confidence Intervals to Support Intervals | 0.42.2 |
ciccr Causal Inference in Case-Control and Case-Population Studies | 0.3.0 |
cicerone Provide Tours of 'Shiny' Applications | 1.0.4 |
CICI Causal Inference with Continuous (Multiple Time Point) Interventions | 0.9.4 |
CIEE Estimating and Testing Direct Effects in Directed Acyclic Graphs using Estimating Equations | 0.1.1 |
cif Cointegrated ICU Forecasting | 0.1.1 |
CIfinder Estimate the Confidence Intervals for Predictive Values | 2.0.0 |
cifti Toolbox for Connectivity Informatics Technology Initiative ('CIFTI') Files | 0.4.5 |
ciftiTools Tools for Reading, Writing, Viewing and Manipulating CIFTI Files | 0.16.1 |
CIM Compositional Impact of Migration | 1.0.0 |
cimir Interface to the CIMIS Web API | 0.4-1 |
CIMPLE Analysis of Longitudinal Electronic Health Record (EHR) Data with Possibly Informative Observational Time | 0.1.0 |
CIMTx Causal Inference for Multiple Treatments with a Binary Outcome | 1.2.0 |
cinaR A Computational Pipeline for Bulk 'ATAC-Seq' Profiles | 0.2.3 |
cinaRgenesets Ready-to-Use Curated Gene Sets for 'cinaR' | 0.1.1 |
CINE Classification International Normalized of Education | 0.1.3 |
CINID Curculionidae INstar IDentification | 1.3-0 |
CINmetrics Calculate Chromosomal Instability Metrics | 0.1.0 |
CINNA Deciphering Central Informative Nodes in Network Analysis | 1.2.2 |
cinterpolate Interpolation From C | 1.0.2 |
CIPerm Computationally-Efficient Confidence Intervals for Mean Shift from Permutation Methods | 0.2.3 |
cipheR Encryption and Decryption with Text Ciphers | 1.0.0 |
CIplot Functions to Plot Confidence Interval | 1.0 |
CIpostSelect Confidence Interval Post-Selection of Variable | 0.2.1 |
cir Centered Isotonic Regression and Dose-Response Utilities | 2.5.0 |
circacompare Analyses of Circadian Data | 0.2.0 |
CirceR Construct Cohort Inclusion and Restriction Criteria Expressions | 1.3.3 |
circhelp Circular Analyses Helper Functions | 1.1 |
circle R Client Package for Circle CI | 0.7.3 |
CirclesIntersections Algorithm for Computation of the Intersection Areas of N Circles | 1.1 |
circlesplot Visualize Proportions with Circles in a Plot | 1.1.0 |
circletyper Curve Text Elements in 'Shiny' Using 'CircleType.js' | 1.0.2 |
circlize Circular Visualization | 0.4.16 |
circlus Clustering and Simulation of Spherical Cauchy and PKBD Models | 0.0.1 |
CircMLE Maximum Likelihood Analysis of Circular Data | 0.3.0 |
CircNNTSR Statistical Analysis of Circular Data using Nonnegative Trigonometric Sums (NNTS) Models | 2.3 |
CircNNTSRmult Multivariate Circular Data using MNNTS Models | 0.1.0 |
CircOutlier Detection of Outliers in Circular-Circular Regression | 3.2.3 |
CircSpaceTime Spatial and Spatio-Temporal Bayesian Model for Circular Data | 0.9.0 |
CircStats Circular Statistics, from "Topics in Circular Statistics" (2001) | 0.2-6 |
circular Circular Statistics | 0.5-1 |
CircularDDM Circular Drift-Diffusion Model | 0.1.0 |
circularEV Extreme Value Analysis for Circular Data | 0.1.1 |
CircularSilhouette Fast Silhouette on Circular or Linear Data Clusters | 0.0.1 |
circumplex Analysis and Visualization of Circular Data | 1.0.0 |
cirls Constrained Iteratively Reweighted Least Squares | 0.3.1 |
cIRT Choice Item Response Theory | 1.3.2 |
CIS.DGLM Covariates, Interaction, and Selection for DGLM | 0.1.0 |
cisp A Correlation Indicator Based on Spatial Patterns | 0.1.0 |
cit Causal Inference Test | 2.3.2 |
CITAN CITation ANalysis Toolpack | 2022.1.1 |
citation Software Citation Tools | 0.8.2 |
citationchaser Perform Forward and Backwards Chasing in Evidence Syntheses | 0.0.4 |
citecorp Client for the Open Citations Corpus | 0.3.0 |
cities Clinical Trials with Intercurrent Events Simulator | 0.1.3 |
CITMIC Estimation of Cell Infiltration Based on Cell Crosstalk | 0.1.2 |
citmre Colombian Index Tool Market Rate Exchange | 0.1.0 |
cito Building and Training Neural Networks | 1.1 |
ciTools Confidence or Prediction Intervals, Quantiles, and Probabilities for Statistical Models | 0.6.1 |
citrus Customer Intelligence Tool for Rapid Understandable Segmentation | 1.0.2 |
ciu Contextual Importance and Utility | 0.6.0 |
ciuupi Confidence Intervals Utilizing Uncertain Prior Information | 1.2.3 |
ciuupi2 Kabaila and Giri (2009) Confidence Interval | 1.0.1 |
civ Categorical Instrumental Variables | 0.1.0 |
civis R Client for the 'Civis Platform API' | 3.1.2 |
ciw Watch the CRAN Incoming Directories | 0.0.2 |
CJAMP Copula-Based Joint Analysis of Multiple Phenotypes | 0.1.1 |
cjar R Client for 'Customer Journey Analytics' ('CJA') API | 0.1.2 |
cjbart Heterogeneous Effects Analysis of Conjoint Experiments | 0.3.2 |
CJIVE Canonical Joint and Individual Variation Explained (CJIVE) | 0.1.0 |
cjoint AMCE Estimator for Conjoint Experiments | 2.1.1 |
ckanr Client for the Comprehensive Knowledge Archive Network ('CKAN') API | 0.7.0 |
CKAT Composite Kernel Association Test for Pharmacogenetics Studies | 0.1.0 |
CKLRT Composite Kernel Machine Regression Based on Likelihood Ratio Test | 0.2.3 |
Ckmeans.1d.dp Optimal, Fast, and Reproducible Univariate Clustering | 4.3.5 |
CKMRpop Forward-in-Time Simulation and Tallying of Pairwise Relationships | 0.1.3 |
CLA Critical Line Algorithm in Pure R | 0.96-3 |
Claddis Measuring Morphological Diversity and Evolutionary Tempo | 0.7.0 |
cladoRcpp C++ Implementations of Phylogenetic Cladogenesis Calculations | 0.15.1 |
ClaimsProblems Analysis of Conflicting Claims | 0.2.1 |
clam Classical Age-Depth Modelling of Cores from Deposits | 2.6.1 |
ClamR Time Series Modeling for Climate Change Proxies | 2.1-3 |
clap Detecting Class Overlapping Regions in Multidimensional Data | 0.1.0 |
clarabel Interior Point Conic Optimization Solver | 0.9.0.1 |
clarifai Access to Clarifai API | 0.4.2 |
clarify Simulation-Based Inference for Regression Models | 0.2.1 |
clarkeTest Distribution-Free Tests of Non-Nested Models | 0.2.0 |
class Functions for Classification | 7.3-22 |
ClassComparison Classes and Methods for "Class Comparison" Problems on Microarrays | 3.3.2 |
ClassDiscovery Classes and Methods for "Class Discovery" with Microarrays or Proteomics | 3.4.5 |
classGraph Construct Graphs of S4 Class Hierarchies | 0.7-6 |
classicaltest Classical Test Theory (CTT) Analysis | 0.7.0 |
classifierplots Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots | 1.4.0 |
classifly Explore Classification Models in High Dimensions | 0.4.1 |
classInt Choose Univariate Class Intervals | 0.4-10 |
classmap Visualizing Classification Results | 1.2.3 |
CLAST Exact Confidence Limits after a Sequential Trial | 1.0.1 |
cld2 Google's Compact Language Detector 2 | 1.2.5 |
cld3 Google's Compact Language Detector 3 | 1.6.1 |
clda Convolution-Based Linear Discriminant Analysis | 0.1 |
clean Fast and Easy Data Cleaning | 2.0.0 |
CleanBSequences Curing of Biological Sequences | 2.3.0 |
cleancall C Resource Cleanup via Exit Handlers | 0.1.3 |
cleandata To Inspect and Manipulate Data; and to Keep Track of This Process | 0.3.0 |
cleanepi Clean and Standardize Epidemiological Data | 1.0.2 |
cleaner Fast and Easy Data Cleaning | 1.5.5 |
cleangeo Cleaning Geometries from Spatial Objects | 0.3-1 |
CleaningValidation Cleaning Validation Functions for Pharmaceutical Cleaning Process | 1.0 |
cleanNLP A Tidy Data Model for Natural Language Processing | 3.1.0 |
cleanr Helps You to Code Cleaner | 1.4.0 |
cleanrmd Clean Class-Less 'R Markdown' HTML Documents | 0.1.1 |
cleanTS Testbench for Univariate Time Series Cleaning | 0.1.2 |
cleaR Clean the R Console and Environment | 0.0.4 |
clespr Composite Likelihood Estimation for Spatial Data | 1.1.2 |
clevr Clustering and Link Prediction Evaluation in R | 0.1.2 |
clhs Conditioned Latin Hypercube Sampling | 0.9.0 |
cli Helpers for Developing Command Line Interfaces | 3.6.3 |
cliapp Create Rich Command Line Applications | 0.1.2 |
clickableImageMap Implement 'tableGrob' Object as a Clickable Image Map | 1.0 |
clickb Web Data Analysis by Bayesian Mixture of Markov Models | 0.1 |
ClickClust Model-Based Clustering of Categorical Sequences | 1.1.6 |
ClickClustCont Mixtures of Continuous Time Markov Models | 0.1.7 |
ClickHouseHTTP A Simple HTTP Database Interface to 'ClickHouse' | 0.3.3 |
clickR Semi-Automatic Preprocessing of Messy Data with Change Tracking for Dataset Cleaning | 0.9.45 |
clickstream Analyzes Clickstreams Based on Markov Chains | 1.3.3 |
clidamonger Monthly Climate Data for Germany, Usable for Heating and Cooling Calculations | 1.2.0 |
clidatajp Data from Japan Meteorological Agency | 0.5.2 |
cliff Execute Command Line Programs Interactively | 0.1.2 |
clifford Arbitrary Dimensional Clifford Algebras | 1.0-8 |
clifro Easily Download and Visualise Climate Data from CliFlo | 3.2-5 |
CliftLRD Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent for Irregularly Sampled Time Series | 0.1-1 |
clikcorr Censoring Data and Likelihood-Based Correlation Estimation | 1.0 |
climaemet Climate AEMET Tools | 1.4.0 |
climate Interface to Download Meteorological (and Hydrological) Datasets | 1.2.1 |
climateStability Estimating Climate Stability from Climate Model Data | 0.1.4 |
climatol Climate Tools (Series Homogenization and Derived Products) | 4.1.0 |
climatrends Climate Variability Indices for Ecological Modelling | 0.5 |
ClimClass Climate Classification According to Several Indices | 2.1.0 |
CLimd Generating Rainfall Rasters from IMD NetCDF Data | 0.1.0 |
clime Constrained L1-Minimization for Inverse (Covariance) Matrix Estimation | 0.5.0 |
climenv Download, Extract and Visualise Climate and Elevation Data | 1.0.0 |
climetrics Climate Change Metrics | 1.0-15 |
climextRemes Tools for Analyzing Climate Extremes | 0.3.1 |
ClimInd Climate Indices | 0.1-3 |
ClimMobTools API Client for the 'ClimMob' Platform | 1.2 |
ClimProjDiags Set of Tools to Compute Various Climate Indices | 0.3.3 |
climwin Climate Window Analysis | 1.2.3 |
clinDataReview Clinical Data Review Tool | 1.6.1 |
clinDR Simulation and Analysis Tools for Clinical Dose Response Modeling | 2.4.1 |
clinfun Clinical Trial Design and Data Analysis Functions | 1.1.5 |
clinicalomicsdbR Interface with the 'ClinicalOmicsDB' API, Allowing for Easy Data Downloading and Importing | 1.0.5 |
clinicalsignificance A Toolbox for Clinical Significance Analyses in Intervention Studies | 2.1.0 |
ClinicalTrialSummary Summary Measures for Clinical Trials with Survival Outcomes | 1.1.1 |
ClinicalUtilityRecal Recalibration Methods for Improved Clinical Utility of Risk Scores | 0.1.0 |
clinmon Hemodynamic Calculations from Clinical Monitoring | 0.6.0 |
clinPK Clinical Pharmacokinetics Toolkit | 0.13.0 |
clinsig Clinical Significance Functions | 1.2 |
ClinSigMeasures Clinical Significance Measures | 1.2 |
clinspacy Clinical Natural Language Processing using 'spaCy', 'scispaCy', and 'medspaCy' | 1.0.2 |
clintools Tools for Clinical Research | 0.9.10.1 |
ClinTrialPredict Predicting and Simulating Clinical Trial with Time-to-Event Endpoint | 0.0.4 |
clintrialx Connect and Work with Clinical Trials Data Sources | 0.1.0 |
clinUtils General Utility Functions for Analysis of Clinical Data | 0.2.0 |
cliot Clinical Indices and Outcomes Tools | 0.2.0 |
clipp Calculating Likelihoods by Pedigree Paring | 1.1.1 |
clipr Read and Write from the System Clipboard | 0.8.0 |
CliquePercolation Clique Percolation for Networks | 0.4.0 |
clisymbols Unicode Symbols at the R Prompt | 1.2.0 |
CLME Constrained Inference for Linear Mixed Effects Models | 2.0-12 |
clmplus Tool-Box of Chain Ladder Plus Models | 1.0.0 |
clock Date-Time Types and Tools | 0.7.1 |
clockify A Wrapper for the 'Clockify' API | 0.1.6 |
clogitboost Boosting Conditional Logit Model | 1.1 |
clogitL1 Fitting Exact Conditional Logistic Regression with Lasso and Elastic Net Penalties | 1.5 |
clogitLasso Sparse Conditional Logistic Regression for Matched Studies | 1.1 |
cloneRate Estimate Growth Rates from Phylogenetic Trees | 0.2.3 |
CloneSeeker Seeking and Finding Clones in Copy Number and Sequencing Data | 1.0.11 |
CLONETv2 Clonality Estimates in Tumor | 2.2.1 |
clordr Composite Likelihood Inference and Diagnostics for Replicated Spatial Ordinal Data | 1.7.0 |
closeloop Integrate Single-Arm Observational Data in Network Meta Analysis | 0.1.0 |
cloudfs Streamlined Interface to Interact with Cloud Storage Platforms | 0.1.3 |
cloudml Interface to the Google Cloud Machine Learning Platform | 0.6.1 |
cloudos R Client Library for CloudOS | 0.4.0 |
cloudstoR Simplifies Access to Cloudstor API | 0.2.0 |
cloudUtil Cloud Utilization Plots | 0.1.12 |
clptheory Compute Price of Production and Labor Values | 0.1.0 |
clr Curve Linear Regression via Dimension Reduction | 0.1.2 |
CLSIEP15 Clinical and Laboratory Standards Institute (CLSI) EP15-A3 Calculations | 0.1.0 |
clttools Central Limit Theorem Experiments (Theoretical and Simulation) | 1.3 |
clubpro Classification Using Binary Procrustes Rotation | 0.6.2 |
clubSandwich Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections | 0.5.11 |
clue Cluster Ensembles | 0.3-66 |
ClueR Cluster Evaluation | 1.4.2 |
clugenr Multidimensional Cluster Generation Using Support Lines | 1.0.3 |
CluMP Clustering of Micro Panel Data | 0.8.1 |
ClusBoot Bootstrap a Clustering Solution to Establish the Stability of the Clusters | 1.2.2 |
cluscov Clustered Covariate Regression | 1.1.0 |
clusEvol A Procedure for Cluster Evolution Analytics | 1.0.0 |
ClusPred Simultaneous Semi-Parametric Estimation of Clustering and Regression | 1.1.0 |
clusrank Wilcoxon Rank Tests for Clustered Data | 1.0-4 |
ClusROC ROC Analysis in Three-Class Classification Problems for Clustered Data | 1.0.2 |
ClussCluster Simultaneous Detection of Clusters and Cluster-Specific Genes in High-Throughput Transcriptome Data | 0.1.0 |
clust.bin.pair Statistical Methods for Analyzing Clustered Matched Pair Data | 0.1.2 |
clustAnalytics Cluster Evaluation on Graphs | 0.5.5 |
ClustAssess Tools for Assessing Clustering | 0.3.0 |
ClustBlock Clustering of Datasets | 4.0.0 |
ClusTCR2 Identifying Similar T Cell Receptor Hyper-Variable Sequences with 'ClusTCR2' | 1.7.3.01 |
clustcurv Determining Groups in Multiples Curves | 2.0.2 |
clustEff Clusters of Effects Curves in Quantile Regression Models | 0.3.1 |
cluster "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al. | 2.1.8 |
cluster.datasets Cluster Analysis Data Sets | 1.0-1 |
Cluster.OBeu Cluster Analysis 'OpenBudgets.eu' | 1.2.3 |
clusterability Performs Tests for Cluster Tendency of a Data Set | 0.1.1.0 |
ClusterBootstrap Analyze Clustered Data with Generalized Linear Models using the Cluster Bootstrap | 1.1.2 |
clusterCons Consensus Clustering using Multiple Algorithms and Parameters | 1.2 |
clusterCrit Clustering Indices | 1.3.0 |
clusteredinterference Causal Effects from Observational Studies with Clustered Interference | 1.0.1 |
ClusteredMutations Location and Visualization of Clustered Somatic Mutations | 1.0.1 |
clusterGeneration Random Cluster Generation (with Specified Degree of Separation) | 1.3.8 |
clusterhap Clustering Genotypes in Haplotypes | 0.1 |
clusterHD Tools for Clustering High-Dimensional Data | 1.0.2 |
Clustering Techniques for Evaluating Clustering | 1.7.10 |
clustering.sc.dp Optimal Distance-Based Clustering for Multidimensional Data with Sequential Constraint | 1.1 |
clusterMI Cluster Analysis with Missing Values by Multiple Imputation | 1.3 |
clustermole Unbiased Single-Cell Transcriptomic Data Cell Type Identification | 1.1.1 |
clustermq Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque) | 0.9.5 |
clusternomics Integrative Clustering for Heterogeneous Biomedical Datasets | 0.1.1 |
clusterProfiler | 4.14.4 |
ClusterR Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering | 1.3.3 |
ClusterRankTest Rank Tests for Clustered Data | 1.0 |
clusterRepro Reproducibility of Gene Expression Clusters | 0.9 |
clusterSEs Calculate Cluster-Robust p-Values and Confidence Intervals | 2.6.5 |
clusterSim Searching for Optimal Clustering Procedure for a Data Set | 0.51-5 |
ClusterStability Assessment of Stability of Individual Objects or Clusters in Partitioning Solutions | 1.0.4 |
clustertend Check the Clustering Tendency | 1.7 |
ClusterVAR Fitting Latent Class Vector-Autoregressive (VAR) Models | 0.0.8 |
ClustGeo Hierarchical Clustering with Spatial Constraints | 2.1 |
ClustImpute K-Means Clustering with Build-in Missing Data Imputation | 0.2.4 |
clustlearn Learn Clustering Techniques Through Examples and Code | 1.0.0 |
ClustMC Cluster-Based Multiple Comparisons | 0.1.1 |
clustMD Model Based Clustering for Mixed Data | 1.2.1 |
clustMixType k-Prototypes Clustering for Mixed Variable-Type Data | 0.4-2 |
clustNet Network-Based Clustering | 1.2.0 |
ClustOfVar Clustering of Variables | 1.1 |
ClusTorus Prediction and Clustering on the Torus by Conformal Prediction | 0.2.2 |
clustra Clustering Longitudinal Trajectories | 0.2.1 |
clusTransition Monitor Changes in Cluster Solutions of Dynamic Datasets | 1.0 |
clustrd Methods for Joint Dimension Reduction and Clustering | 1.4.0 |
clustree Visualise Clusterings at Different Resolutions | 0.5.1 |
clustringr Cluster Strings by Edit-Distance | 1.0 |
CLUSTShiny Interactive Document for Working with Cluster Analysis | 0.1.0 |
clustTMB Spatio-Temporal Finite Mixture Model using 'TMB' | 0.1.0 |
clustur Clustering | 0.1.1 |
ClustVarLV Clustering of Variables Around Latent Variables | 2.1.1 |
clustvarsel Variable Selection for Gaussian Model-Based Clustering | 2.3.4 |
ClusVis Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering | 1.2.0 |
clv Cluster Validation Techniques | 0.3-2.4 |
clValid Validation of Clustering Results | 0.7 |
CLVTools Tools for Customer Lifetime Value Estimation | 0.11.2 |
cmaes Covariance Matrix Adapting Evolutionary Strategy | 1.0-12 |
cmaesr Covariance Matrix Adaptation Evolution Strategy | 1.0.3 |
cmahalanobis Calculate Distance Measures for a Given List of Data Frames with Factors | 0.4.2 |
CMAPSS Commercial Modular Aero-Propulsion System Simulation Data Set | 0.1.1 |
CMapViz Representation Tool For Output Of Connectivity Map (CMap) Analysis | 0.1.0 |
cmaRs Implementation of the Conic Multivariate Adaptive Regression Splines in R | 0.1.3 |
cmbClust Conditional Mixture Modeling and Model-Based Clustering | 0.0.1 |
cmce Computer Model Calibration for Deterministic and Stochastic Simulators | 0.1.0 |
cmcR An Implementation of the 'Congruent Matching Cells' Method | 0.1.11 |
cmdfun Framework for Building Interfaces to Shell Commands | 1.0.2 |
cmenet Bi-Level Selection of Conditional Main Effects | 0.1.2 |
CMF Collective Matrix Factorization | 1.0.3 |
cmfrec Collective Matrix Factorization for Recommender Systems | 3.5.1-3 |
CMFsurrogate Calibrated Model Fusion Approach to Combine Surrogate Markers | 1.0 |
CMGFM Covariate-Augumented Generalized Factor Model | 1.1 |
cmhc Access, Retrieve, and Work with CMHC Data | 0.2.9 |
CMHNPA Cochran-Mantel-Haenszel and Nonparametric ANOVA | 1.1.1 |
cml Conditional Manifold Learning | 0.2.2 |
CMLS Constrained Multivariate Least Squares | 1.0-1 |
cmm Categorical Marginal Models | 1.0 |
cmmr CEU Mass Mediator RESTful API | 1.0.3 |
CMMs Compositional Mediation Model | 1.0.0 |
cmna Computational Methods for Numerical Analysis | 1.0.5 |
cmocean Beautiful Colour Maps for Oceanography | 0.3-2 |
CMplot Circle Manhattan Plot | 4.5.1 |
cmprsk Subdistribution Analysis of Competing Risks | 2.2-12 |
cmprskcoxmsm Use IPW to Estimate Treatment Effect under Competing Risks | 0.2.1 |
cmprskQR Analysis of Competing Risks Using Quantile Regressions | 0.9.2 |
cmpsR R Implementation of Congruent Matching Profile Segments Method | 0.1.2 |
cmR Analysis of Cardiac Magnetic Resonance Images | 1.1 |
cmrutils Misc Functions of the Center for Mathematical Research | 1.3.1 |
cms Calculate Medicare Reimbursement | 0.1.0 |
cmsaf A Toolbox for CM SAF NetCDF Data | 3.5.2 |
cmsafops Tools for CM SAF NetCDF Data | 1.4.0 |
cmsafvis Tools to Visualize CM SAF NetCDF Data | 1.2.9 |
CMShiny Interactive Document for Working with Confusion Matrix | 0.1.0 |
cmstatr Statistical Methods for Composite Material Data | 0.10.0 |
cmstatrExt More Statistical Methods for Composite Material Data | 0.4.0 |
cmtest Conditional Moments Test | 0.1-2 |
cmvnorm The Complex Multivariate Gaussian Distribution | 1.0-7 |
cna Causal Modeling with Coincidence Analysis | 3.6.2 |
CNAIM Common Network Asset Indices Methodology (CNAIM) | 2.1.4 |
cnaOpt Optimizing Consistency and Coverage in Configurational Causal Modeling | 0.5.2 |
cnbdistr Conditional Negative Binomial Distribution | 1.0.1 |
cncaGUI Canonical Non-Symmetrical Correspondence Analysis in R | 1.1 |
CNID Get Basic Information from Chinese ID Number | 1.3.1 |
CNLTreg Complex-Valued Wavelet Lifting for Signal Denoising | 0.1-2 |
CNLTtsa Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis | 0.1-2 |
cnmap China Map Data from AutoNavi Map | 0.1.0 |
cNORM Continuous Norming | 3.4.0 |
CNprep Pre-Process DNA Copy Number (CN) Data for Detection of CN Events | 2.2 |
CNPS Nonparametric Statistics | 1.0.0 |
cnum Chinese Numerals Processing | 0.1.3 |
CNVRG Dirichlet Multinomial Modeling of Relative Abundance Data | 1.0.0 |
CNVScope A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization | 3.7.2 |
coala A Framework for Coalescent Simulation | 0.7.2 |
coalescentMCMC MCMC Algorithms for the Coalescent | 0.4-4 |
COAP High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model | 1.2 |
coarseDataTools Analysis of Coarsely Observed Data | 0.6-6 |
CoastlineFD Calculation of the Fractal Dimension of a Coastline | 1.1.2 |
coat Conditional Method Agreement Trees (COAT) | 0.2.0 |
cobalt Covariate Balance Tables and Plots | 4.5.5 |
cobiclust Biclustering via Latent Block Model Adapted to Overdispersed Count Data | 0.1.2 |
cobs Constrained B-Splines (Sparse Matrix Based) | 1.3-8 |
coca Cluster-of-Clusters Analysis | 1.1.0 |
cocktailApp 'shiny' App to Discover Cocktails | 0.2.3 |
CoClust Copula Based Cluster Analysis | 0.3-2 |
coconots Convolution-Closed Models for Count Time Series | 1.1.3 |
cocons Covariate-Based Covariance Functions for Nonstationary Spatial Modeling | 0.1.4 |
COCONUT COmbat CO-Normalization Using conTrols (COCONUT) | 1.0.2 |
cocoon Extract, Format, and Print Statistical Output | 0.1.0 |
cocor Comparing Correlations | 1.1-4 |
cocorresp Co-Correspondence Analysis Methods | 0.4-5 |
cocosoR CoCoSo - Combined Compromise Solution Method for MCDA | 0.1.0 |
cocotest Dependence Condition Test Using Ranked Correlation Coefficients | 1.0.3 |
cocron Statistical Comparisons of Two or more Alpha Coefficients | 1.0-1 |
coda Output Analysis and Diagnostics for MCMC | 0.19-4.1 |
coda.base A Basic Set of Functions for Compositional Data Analysis | 0.5.5 |
coda4microbiome Compositional Data Analysis for Microbiome Studies | 0.2.4 |
codacore Learning Sparse Log-Ratios for Compositional Data | 0.0.4 |
CoDaImpact Interpreting CoDa Regression Models | 0.1.0 |
codalm Transformation-Free Linear Regression for Compositional Outcomes and Predictors | 0.1.2 |
codaredistlm Compositional Data Linear Models with Composition Redistribution | 0.1.0 |
CodataGS Genomic Prediction Using SNP Codata | 1.43 |
cOde Automated C Code Generation for 'deSolve', 'bvpSolve' | 1.1.1 |
codebook Automatic Codebooks from Metadata Encoded in Dataset Attributes | 0.9.5 |
codebookr Create Codebooks from Data Frames | 0.1.8 |
codebreaker Retro Logic Game | 1.0.1 |
codeCollection Collection of Codes with Labels | 0.1.3 |
codecountR Counting Codes in a Text and Preparing Data for Analysis | 0.0.4.5 |
CodeDepends Analysis of R Code for Reproducible Research and Code Comprehension | 0.6.6 |
CodelistGenerator Identify Relevant Clinical Codes and Evaluate Their Use | 3.3.1 |
codemeta A Smaller 'codemetar' Package | 0.1.1 |
codemetar Generate 'CodeMeta' Metadata for R Packages | 0.3.5 |
codename Generation of Code Names for Organizations, People, Projects, and Whatever Else | 0.5.0 |
codep Multiscale Codependence Analysis | 1.2-4 |
coder Deterministic Categorization of Items Based on External Code Data | 0.13.10 |
codetools Code Analysis Tools for R | 0.2-20 |
codewhere Find the Location of an R Package's Code | 0.1.1 |
codexcopd The CODEX (Comorbidity, Obstruction, Dyspnea, and Previous Severe Exacerbations) Index: Short and Medium-Term Prognosis in Patients Hospitalized for Chronic Obstructive Pulmonary Disease (COPD) Exacerbations | 0.1.0 |
codez Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on Tensorflow | 1.0.0 |
codified Produce Standard/Formalized Demographics Tables | 0.3.0 |
CoDiNA Co-Expression Differential Network Analysis | 1.1.2 |
codingMatrices Alternative Factor Coding Matrices for Linear Model Formulae | 0.4.0 |
codyn Community Dynamics Metrics | 2.0.5 |
coefa Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices | 1.0.3 |
coefficientalpha Robust Coefficient Alpha and Omega with Missing and Non-Normal Data | 0.7.2 |
coefplot Plots Coefficients from Fitted Models | 1.2.8 |
coenocliner Coenocline Simulation | 0.2-3 |
coenoflex Gradient-Based Coenospace Vegetation Simulator | 2.2-0 |
cofad Contrast Analyses for Factorial Designs | 0.3.1 |
cofeatureR Generate Cofeature Matrices | 1.1.1 |
coffee Chronological Ordering for Fossils and Environmental Events | 0.4.3 |
cofid Copepod Fish Interaction Database | 1.0.0 |
CoFRA Complete Functional Regulation Analysis | 0.1002 |
coga Convolution of Gamma Distributions | 1.2.2 |
coglasso Collaborative Graphical Lasso - Multi-Omics Network Reconstruction | 1.0.2 |
cogmapr Cognitive Mapping Tools Based on Coding of Textual Sources | 0.9.3 |
cognitoR Authentication for 'Shiny' Apps with 'Amazon Cognito' | 1.0.5 |
CohensdpLibrary Cohen's D_p Computation with Confidence Intervals | 0.5.11 |
cohetsurr Assessing Complex Heterogeneity in Surrogacy | 1.0 |
CohortAlgebra Use of Interval Algebra to Create New Cohort(s) from Existing Cohorts | 0.3.0 |
cohortBuilder Data Source Agnostic Filtering Tools | 0.3.0 |
CohortCharacteristics Summarise and Visualise Characteristics of Patients in the OMOP CDM | 0.4.0 |
CohortConstructor Build and Manipulate Study Cohorts Using a Common Data Model | 0.3.3 |
CohortExplorer Explorer of Profiles of Patients in a Cohort | 0.1.0 |
CohortGenerator Cohort Generation for the OMOP Common Data Model | 0.11.2 |
CohortPlat Simulation of Cohort Platform Trials for Combination Treatments | 1.0.5 |
cohorts Cohort Analysis Made Easy | 1.0.1 |
CohortSurvival Estimate Survival from Common Data Model Cohorts | 0.6.1 |
CohortSymmetry Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model | 0.2.0 |
cohorttools Cohort Data Analyses | 0.1.6 |
coil Contextualization and Evaluation of COI-5P Barcode Data | 1.2.4 |
CoImp Parametric and Non-Parametric Copula-Based Imputation Methods | 2.0.1 |
coin Conditional Inference Procedures in a Permutation Test Framework | 1.4-3 |
coinmarketcapr Get 'Cryptocurrencies' Market Cap Prices from Coin Market Cap | 0.4 |
Coinprofile Coincident Profile | 0.1.9 |
COINr Composite Indicator Construction and Analysis | 1.1.14 |
cointmonitoR Consistent Monitoring of Stationarity and Cointegrating Relationships | 0.1.0 |
cointReg Parameter Estimation and Inference in a Cointegrating Regression | 0.2.0 |
cold Count Longitudinal Data | 2.0-3 |
colf Constrained Optimization on Linear Function | 0.1.3 |
collapse Advanced and Fast Data Transformation | 2.0.18 |
CollapseLevels Collapses Levels, Computes Information Value and WoE | 0.3.0 |
collapsibleTree Interactive Collapsible Tree Diagrams using 'D3.js' | 0.1.8 |
collateral Quickly Evaluate Captured Side Effects | 0.5.2 |
collatz Functions Related to the Collatz/Syracuse/3n+1 Problem | 1.0.0 |
collections High Performance Container Data Types | 0.3.7 |
collegeScorecard US College Scorecard Data | 0.1.0 |
collidr Check for Namespace Collisions Across Packages and Functions on CRAN | 0.1.3 |
collin Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models | 0.0.4 |
collinear Automated Multicollinearity Management | 2.0.0 |
CollocInfer Collocation Inference for Dynamic Systems | 1.0.5 |
collpcm Collapsed Latent Position Cluster Model for Social Networks | 1.4 |
collUtils Auxiliary Package for Package 'CollapsABEL' | 1.0.5 |
colmozzie Dengue Cases and Climate Variables in Colombo Sri Lanka | 1.1.1 |
coloc Colocalisation Tests of Two Genetic Traits | 5.2.3 |
colocalization Normalized Spatial Intensity Correlation | 1.0.2 |
colocalized Clusters of Colocalized Sequences | 0.2.0 |
colocPropTest Proportional Testing for Colocalisation Analysis | 0.9.1 |
colocr Conduct Co-Localization Analysis of Fluorescence Microscopy Images | 0.1.1 |
ColOpenData Download Colombian Demographic, Climate and Geospatial Data | 0.3.1 |
colorblindcheck Check Color Palettes for Problems with Color Vision Deficiency | 1.0.2 |
colorBlindness Safe Color Set for Color Blindness | 0.1.9 |
colorDF Colorful Data Frames in R Terminal | 0.1.7 |
colordistance Distance Metrics for Image Color Similarity | 1.1.2 |
colorednoise Simulate Temporally Autocorrelated Populations | 1.1.2 |
colorfindr Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format Images | 0.1.4 |
colorhcplot Colorful Hierarchical Clustering Dendrograms | 1.3.1 |
colorist Coloring Wildlife Distributions in Space-Time | 0.1.3 |
colorizer Colorize Old Images Using the 'DeOldify' Image Colorization API | 0.1.0 |
colormap Color Palettes using Colormaps Node Module | 0.1.4 |
ColorNameR Give Colors a Name | 0.1.0 |
colorpatch Optimized Rendering of Fold Changes and Confidence Values | 0.1.2 |
colorplane Basic S4 Classes and Methods for Mapping Between Numeric Values and Colors | 0.5.0 |
colorr Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams | 1.0.0 |
colorRamp2 Generate Color Mapping Functions | 0.1.0 |
colorRamps Builds Color Tables | 2.3.4 |
colorrepel Repel Visually Similar Colors for Colorblind Users in Various Plots | 0.3.0 |
colors3d Generate 2D and 3D Color Palettes | 1.0.1 |
colorscience Color Science Methods and Data | 1.0.9 |
colorsGen Generation of Random Colors | 1.0.0 |
colorspace A Toolbox for Manipulating and Assessing Colors and Palettes | 2.1-1 |
colorSpec Color Calculations with Emphasis on Spectral Data | 1.5-0 |
Colossus "Risk Model Regression and Analysis with Complex Non-Linear Models" | 1.1.4.2 |
colouR Create Colour Palettes from Images | 0.1.1 |
colourlovers R Client for the COLOURlovers API | 0.3.6 |
colourpicker A Colour Picker Tool for Shiny and for Selecting Colours in Plots | 1.3.0 |
colourvalues Assigns Colours to Values | 0.3.9 |
colourvision Colour Vision Models | 2.0.4 |
COLP Causal Discovery for Categorical Data with Label Permutation | 1.0.0 |
cols Constrained Ordinary Least Squares | 1.3 |
cols4all Colors for all | 0.8 |
colt Command-Line Color Themes | 0.1.1 |
comat Creates Co-Occurrence Matrices of Spatial Data | 0.9.5 |
comato Analysis of Concept Maps and Concept Landscapes | 1.1 |
COMBAT A Combined Association Test for Genes using Summary Statistics | 0.0.4 |
combat.enigma Fit and Apply ComBat, LMM, or Prescaling Harmonization for ENIGMA and Other Multisite MRI Data | 1.1.1 |
combinat combinatorics utilities | 0.0-8 |
combinationpvalues Combination of Independent P-Values | 0.1.4 |
combinatorics Introduction to Some Combinatorial Relations | 0.1.0 |
combinedevents Calculate Scores and Marks for Track and Field Combined Events | 0.1.1 |
CombinePortfolio Estimation of Optimal Portfolio Weights by Combining Simple Portfolio Strategies | 0.4 |
combinIT A Combined Interaction Test for Unreplicated Two-Way Tables | 2.0.0 |
CombinS Construction Methods of some Series of PBIB Designs | 1.1-1 |
combiroc Selection and Ranking of Omics Biomarkers Combinations Made Easy | 0.3.4 |
combiter Combinatorics Iterators | 1.0.3 |
COMBO Correcting Misclassified Binary Outcomes in Association Studies | 1.2.0 |
comclim Community Climate Statistics | 0.9.6 |
cometExactTest Exact Test from the Combinations of Mutually Exclusive Alterations (CoMEt) Algorithm | 0.1.5 |
cometr 'Comet' API for R | 0.4.0 |
comets Covariance Measure Tests for Conditional Independence | 0.1-0 |
comf Models and Equations for Human Comfort Research | 0.1.12 |
comFuncs Commonly Used Functions for R Shiny Applications | 0.0.6 |
ComICS Computational Methods for Immune Cell-Type Subsets | 1.0.4 |
CoMiRe Convex Mixture Regression | 0.8 |
COMIX Coarsened Mixtures of Hierarchical Skew Kernels | 1.0.0 |
COMMA Correcting Misclassified Mediation Analysis | 1.1.1 |
commafree Call Functions Without Commas Between Arguments | 0.2.0 |
CommEcol Community Ecology Analyses | 1.8.1 |
CommKern Network-Based Communities and Kernel Machine Methods | 1.0.1 |
common Solutions for Common Problems in Base R | 1.1.3 |
CommonDataModel OMOP CDM DDL and Documentation Generator | 1.0.1 |
CommonJavaJars Useful Libraries for Building a Java Based GUI under R | 1.1-0 |
commonmark High Performance CommonMark and Github Markdown Rendering in R | 1.9.2 |
CommonMean.Copula Common Mean Vector under Copula Models | 1.0.4 |
commonsMath JAR Files of the Apache Commons Mathematics Library | 1.2.8 |
communication Feature Extraction and Model Estimation for Audio of Human Speech | 0.1 |
comorbidity Computing Comorbidity Scores | 1.1.0 |
comorbidPGS Assessing Predisposition Between Phenotypes using Polygenic Scores | 0.3.4 |
comorosmaps Comoro Islands Maps | 1.0.0 |
Comp2ROC Compare Two ROC Curves that Intersect | 1.1.4 |
comparator Comparison Functions for Clustering and Record Linkage | 0.1.2 |
compare Comparing Objects for Differences | 0.2-6 |
compareC Compare Two Correlated C Indices with Right-Censored Survival Outcome | 1.3.2 |
CompareCausalNetworks Interface to Diverse Estimation Methods of Causal Networks | 0.2.6.2 |
CompAREdesign Statistical Functions for the Design of Studies with Composite Endpoints | 2.3.1 |
compareDF Do a Git Style Diff of the Rows Between Two Dataframes with Similar Structure | 2.3.5 |
compareGroups Descriptive Analysis by Groups | 4.9.1 |
compareMCMCs Compare MCMC Efficiency from 'nimble' and/or Other MCMC Engines | 0.6.0 |
CompareMultipleModels Finding the Best Model Using Eight Metrics Values | 0.1.0 |
comparer Compare Output and Run Time | 0.2.4 |
CompareTests Correct for Verification Bias in Diagnostic Accuracy & Agreement | 1.3 |
comparison Multivariate Likelihood Ratio Calculation and Evaluation | 1.0.8 |
ComparisonSurv Comparison of Survival Curves Between Two Groups | 1.1.1 |
compas Conformational Manipulations of Protein Atomic Structures | 0.1.1 |
CompDist Multisection Composite Distributions | 1.0 |
comperank Ranking Methods for Competition Results | 0.1.1 |
comperes Manage Competition Results | 0.2.7 |
competitiontoolbox A Graphical User Interface for Antitrust and Trade Practitioners | 0.7.1 |
CompExpDes Computer Experiment Designs | 1.0.6 |
CompGR Complete Annual Growth Rate Generator | 0.1.3 |
compHclust Complementary Hierarchical Clustering | 1.0-3 |
compiler | 4.4.2 |
Compind Composite Indicators Functions | 3.1 |
compindexR Calculates Composite Index | 0.1.3 |
compindPCA Computation of Relative Weights of Variables and Composite Index Values Based on PCA | 0.1.0 |
completejourney Retail Shopping Data | 1.1.0 |
complex Time Series Analysis and Forecasting Using Complex Variables | 1.0.0 |
ComplexHeatmap | 2.22.0 |
complexity Calculate the Proportion of Permutations in Line with an Informative Hypothesis | 1.1.2 |
complexlm Linear Fitting for Complex Valued Data | 1.1.2 |
complexNet Complex Network Generation | 0.2.0 |
complexplus Functions of Complex or Real Variable | 2.1 |
ComplexUpset Create Complex UpSet Plots Using 'ggplot2' Components | 1.3.3 |
complmrob Robust Linear Regression with Compositional Data as Covariates | 0.7.0 |
CompMix A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix') | 0.1.0 |
CompModels Pseudo Computer Models for Optimization | 0.3.0 |
COMPoissonReg Conway-Maxwell Poisson (COM-Poisson) Regression | 0.8.1 |
CompositeReliability Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset | 1.0.3 |
compositeReliabilityInNestedDesigns Optimizing the Composite Reliability in Multivariate Nested Designs | 1.0.4 |
Compositional Compositional Data Analysis | 7.2 |
CompositionalML Machine Learning with Compositional Data | 1.0 |
CompositionalRF Multivariate Random Forest with Compositional Responses | 1.0 |
compositions Compositional Data Analysis | 2.0-8 |
compound.Cox Univariate Feature Selection and Compound Covariate for Predicting Survival, Including Copula-Based Analyses for Dependent Censoring | 3.31 |
CompoundEvents Statistical Modeling of Compound Events | 0.3.0 |
CompPareto Discrete Composite Distributions with Pareto Tails | 0.1.0 |
CompQuadForm Distribution Function of Quadratic Forms in Normal Variables | 1.4.3 |
CompR Paired Comparison Data Analysis | 1.0 |
comprehenr List Comprehensions | 0.6.10 |
compute.es Compute Effect Sizes | 0.2-5 |
ComradesM The Comrades Marathon 1921 to 2019 | 0.1.1 |
comradesOO Analysis of COMRADES (Cross-Linking Matched RNA and Deep Sequencing) Data | 0.1.1 |
ComRiskModel Fitting of Complementary Risk Models | 0.2.0 |
comsimitv Flexible Framework for Simulating Community Assembly | 0.1.5 |
comstab Partitioning the Drivers of Stability of Ecological Communities | 0.0.3 |
comtradr Interface with the United Nations Comtrade API | 1.0.3 |
con2aqi Calculate the AQI from Pollutant Concentration | 0.1.0 |
con2lki Calculate the Dutch Air Quality Index (LKI) | 0.1.0 |
Conake Continuous Associated Kernel Estimation | 1.0.1 |
concatenate Human-Friendly Text from Unknown Strings | 1.0.0 |
concatipede Easy Concatenation of Fasta Sequences | 1.0.1 |
concaveman A Very Fast 2D Concave Hull Algorithm | 1.1.0 |
conclust Pairwise Constraints Clustering | 1.1 |
concom Connected Components of an Undirected Graph | 1.0.0 |
ConconiAnaerobicThresholdTest Conconi Estimate of Anaerobic Threshold from a TCX File | 1.0.0 |
ConConPiWiFun Optimisation with Continuous Convex Piecewise (Linear and Quadratic) Functions | 0.4.6.1 |
concordance Product Concordance | 2.0.0 |
ConcordanceTest An Alternative to the Kruskal-Wallis Based on the Kendall Tau Distance | 1.0.3 |
concorR CONCOR and Supplemental Functions | 0.2.1 |
concstats Market Structure, Concentration and Inequality Measures | 0.1.6 |
CONCUR Copy Number Profile Curve-Based Association Test | 1.4 |
cond Approximate Conditional Inference for Logistic and Loglinear Models | 1.2-3.1 |
CondCopulas Estimation and Inference for Conditional Copula Models | 0.1.4.1 |
condensr Academic Group Website Generator | 1.0.0 |
condformat Conditional Formatting in Data Frames | 0.10.1 |
condGEE Parameter Estimation in Conditional GEE for Recurrent Event Gap Times | 0.2.0 |
CondIndTests Nonlinear Conditional Independence Tests | 0.1.5 |
condir Computation of P Values and Bayes Factors for Conditioning Data | 0.1.4 |
CondiS Censored Data Imputation for Direct Modeling | 0.1.2 |
conditionalProbNspades Conditional Probabilities of Distributions Across Hearts Hands | 1.0 |
conditionz Control How Many Times Conditions are Thrown | 0.1.0 |
condMVNorm Conditional Multivariate Normal Distribution | 2020.1 |
CondMVT Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants | 0.1.0 |
condor Interact with 'Condor' from R via SSH | 3.0.0 |
condorOptions Trading Condor Options Strategies | 1.0.1 |
condSURV Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data | 2.0.4 |
condTruncMVN Conditional Truncated Multivariate Normal Distribution | 0.0.2 |
conductor Create Tours in 'Shiny' Apps Using 'Shepherd.js' | 0.1.1 |
condusco Query-Driven Pipeline Execution and Query Templates | 0.1.0 |
condvis Conditional Visualization for Statistical Models | 0.5-1 |
condvis2 Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny | 0.1.2 |
coneproj Primal or Dual Cone Projections with Routines for Constrained Regression | 1.19 |
conf Visualization and Analysis of Statistical Measures of Confidence | 1.9.1 |
conf.design Construction of factorial designs | 2.0.0 |
confcons Confidence and Consistency of Predictive Distribution Models | 0.3.1 |
confidence Confidence Estimation of Environmental State Classifications | 1.1-2 |
ConfidenceEllipse Computation of 2D and 3D Elliptical Joint Confidence Regions | 1.0.0 |
config Manage Environment Specific Configuration Values | 0.3.2 |
ConfigParser Package to Parse an INI File, Including Variable Interpolation | 1.0.0 |
configr An Implementation of Parsing and Writing Configuration File (JSON/INI/YAML/TOML) | 0.3.5 |
configural Multivariate Profile Analysis | 0.1.5 |
confinterpret Descriptive Interpretations of Confidence Intervals | 1.0.0 |
confintr Confidence Intervals | 1.0.2 |
confintROB Confidence Intervals for Robust and Classical Linear Mixed Model Estimators | 1.0-1 |
ConfIntVariance Confidence Interval for the Univariate Population Variance without Normality Assumption | 1.0.2 |
conflicted An Alternative Conflict Resolution Strategy | 1.2.0 |
conflr Client for 'Confluence' API | 0.1.1 |
ConfMatrix Confusion Matrix | 0.1.0 |
conformalbayes Jackknife(+) Predictive Intervals for Bayesian Models | 0.1.2 |
conformalClassification Transductive and Inductive Conformal Predictions for Classification Problems | 1.0.0 |
conformalInference.fd Tools for Conformal Inference for Regression in Multivariate Functional Setting | 1.1.1 |
conformalInference.multi Conformal Inference Tools for Regression with Multivariate Response | 1.1.1 |
conformalpvalue Computes Conformal p-Values | 0.1.0 |
ConformalSmallest Efficient Tuning-Free Conformal Prediction | 1.0 |
confreq Configural Frequencies Analysis Using Log-Linear Modeling | 1.6.1-1 |
confSAM Estimates and Bounds for the False Discovery Proportion, by Permutation | 0.2 |
ConfusionTableR Confusion Matrix Toolset | 1.0.4 |
ConfZIC Confidence Envelopes for Model Selection Criteria Based on Minimum ZIC | 1.0.1 |
congress Access the Congress.gov API | 0.0.3 |
CongressData A Functional Tool for 'CongressData' | 1.5.4 |
CongreveLamsdell2016 Distance Metrics for Trees Generated by Congreve and Lamsdell | 1.0.3 |
CoNI Correlation Guided Network Integration (CoNI) | 0.1.0 |
conicfit Algorithms for Fitting Circles, Ellipses and Conics Based on the Work by Prof. Nikolai Chernov | 1.0.4 |
Conigrave Flexible Tools for Multiple Imputation | 0.4.4 |
conjoint An Implementation of Conjoint Analysis Method | 1.41 |
conjurer A Parametric Method for Generating Synthetic Data | 1.7.1 |
conleyreg Estimations using Conley Standard Errors | 0.1.7 |
conmet Construct Measurement Evaluation Tool | 0.1.0 |
ConNEcT Contingency Measure-Based Networks for Binary Time Series | 0.7.27 |
connectapi Utilities for Interacting with the 'Posit Connect' Server API | 0.4.0 |
ConnectednessApproach Connectedness Approach | 1.0.3 |
connections Integrates with the 'RStudio' Connections Pane and 'pins' | 0.2.0 |
connectoModa Download Data from Moda | 1.0.0 |
connectwidgets Organize and Curate Your Content Within 'Posit Connect' | 0.2.1 |
ConnMatTools Tools for Working with Connectivity Data | 0.3.5 |
conogive Congeneric Normal-Ogive Model | 1.0.0 |
conos Clustering on Network of Samples | 1.5.2 |
conover.test Conover-Iman Test of Multiple Comparisons Using Rank Sums | 1.1.6 |
conquer Convolution-Type Smoothed Quantile Regression | 1.3.3 |
conquestr An R Package to Extend 'ACER ConQuest' | 1.3.4 |
conrad Client for the Microsoft's 'Cognitive Services Text to Speech REST' API | 1.0.0.1 |
ConsensusClustering Consensus Clustering | 1.5.0 |
ConsensusClusterPlus | 1.70.0 |
ConsensusOPLS Consensus OPLS for Multi-Block Data Fusion | 1.0.0 |
conserveR Identifying Conservation Prioritization Methods Based on Data Availability | 1.0.4 |
consibiocloudclient A Client for the 'Consibio Cloud' API | 1.0.0 |
consolechoice An Easy and Quick Way to Loop a Character Vector as a Menu in the Console | 1.1.1 |
consort Create Consort Diagram | 1.2.2 |
consortr Interactive Consort Flow Diagrams | 0.9.1 |
ConSpline Partial Linear Least-Squares Regression using Constrained Splines | 1.2 |
ConsRank Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach | 2.1.4 |
ConsRankClass Classification and Clustering of Preference Rankings | 1.0.1 |
ConsReg Fits Regression & ARMA Models Subject to Constraints to the Coefficient | 0.1.0 |
consrq Constrained Quantile Regression | 1.0 |
constants Reference on Constants, Units and Uncertainty | 1.0.1 |
constellation Identify Event Sequences Using Time Series Joins | 0.2.0 |
constrainedKriging Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging | 0.2-8 |
conStruct Models Spatially Continuous and Discrete Population Genetic Structure | 1.0.6 |
constructive Display Idiomatic Code to Construct Most R Objects | 1.0.1 |
contactdata Social Contact Matrices for 177 Countries | 1.1.0 |
container Extending Base 'R' Lists | 1.0.5 |
ContaminatedMixt Clustering and Classification with the Contaminated Normal | 1.3.8 |
contentid An Interface for Content-Based Identifiers | 0.0.18 |
conText 'a la Carte' on Text (ConText) Embedding Regression | 1.4.3 |
contfrac Continued Fractions | 1.1-12 |
contFracR Continued Fraction Generators and Evaluators | 1.2.1 |
conting Bayesian Analysis of Contingency Tables | 1.7 |
contingency Discrete Multivariate Probability Distributions | 0.0.10 |
contingencytables Statistical Analysis of Contingency Tables | 3.0.1 |
contoureR Contouring of Non-Regular Three-Dimensional Data | 1.0.5 |
ContourFunctions Create Contour Plots from Data or a Function | 0.1.2 |
contourPlot Plots x,y,z Co-Ordinates in a Contour Map | 0.2.0 |
contrast A Collection of Contrast Methods | 0.24.2 |
contrastable Consistent Contrast Coding for Factors | 1.0.2 |
conTree Contrast Trees and Boosting | 0.3-1 |
ContRespPP Predictive Probability for a Continuous Response with an ANOVA Structure | 0.4.2 |
contribution A Tiny Contribution Table Generator Based on 'ggplot2' | 0.2.2 |
control A Control Systems Toolbox | 0.2.5 |
controlfunctionIV Control Function Methods with Possibly Invalid Instrumental Variables | 0.1.1 |
controlTest Quantile Comparison for Two-Sample Right-Censored Survival Data | 1.1.0 |
contsurvplot Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome | 0.2.1 |
contTimeCausal Continuous Time Causal Models | 1.1 |
convdistr Convolute Probabilistic Distributions | 1.6.2 |
ConvergenceClubs Finding Convergence Clubs | 2.2.5 |
ConvergenceConcepts Seeing Convergence Concepts in Action | 1.2.3 |
convergEU Monitoring Convergence of EU Countries | 0.7.3.2 |
conversim Conversation Similarity Analysis | 0.1.0 |
convertBCD Convert Decimal to Binary-Coded Decimal (BCD) Form and Vice Versa | 1.0 |
convertbonds Use the Given Parameters to Calculate the European Option Value | 0.1.0 |
convertid Convert Gene IDs Between Each Other and Fetch Annotations from Biomart | 0.1.8 |
ConvertPar Estimating IRT Parameters via Machine Learning Algorithms | 0.1 |
convertr Convert Between Units | 0.1 |
convevol Analysis of Convergent Evolution | 2.2.1 |
convey Income Concentration Analysis with Complex Survey Samples | 1.0.1 |
Convolutioner Convolution of Data | 0.1.0 |
convoSPAT Convolution-Based Nonstationary Spatial Modeling | 1.2.7 |
cooccur Probabilistic Species Co-Occurrence Analysis in R | 1.3 |
CooccurrenceAffinity Affinity in Co-Occurrence Data | 1.0 |
cookiecutter Generate Project Files from a Template | 0.1.0 |
cookiemonster Your Friendly Solution to Managing Browser Cookies | 0.0.3 |
cookies Use Browser Cookies with 'shiny' | 0.2.3 |
CoOL Causes of Outcome Learning | 1.1.2 |
cooltools Practical Tools for Scientific Computations and Visualizations | 2.4 |
coop Co-Operation: Fast Covariance, Correlation, and Cosine Similarity Operations | 0.6-3 |
CoopGame Important Concepts of Cooperative Game Theory | 0.2.2 |
CoordinateCleaner Automated Cleaning of Occurrence Records from Biological Collections | 3.0.1 |
CooRTweet Coordinated Networks Detection on Social Media | 2.0.2 |
copBasic General Bivariate Copula Theory and Many Utility Functions | 2.2.6 |
copCAR Fitting the copCAR Regression Model for Discrete Areal Data | 2.0-4 |
copcor Correlates of Protection and Correlates of Risk Functions | 2024.7-31 |
CopCTS Copula-Based Semiparametric Analysis for Time Series Data with Detection Limits | 1.0.0 |
cope Coverage Probability Excursion (CoPE) Sets | 0.2.3 |
copent Estimating Copula Entropy and Transfer Entropy | 0.5 |
CopernicusDEM Copernicus Digital Elevation Models | 1.0.5 |
CopernicusMarine Search Download and Handle Data from Copernicus Marine Service Information | 0.2.3 |
cophescan Adaptation of the Coloc Method for PheWAS | 1.4.1 |
coppeCosenzaR COPPE-Cosenza Fuzzy Hierarchy Model | 0.1.3 |
copre Tools for Nonparametric Martingale Posterior Sampling | 0.2.1 |
cops Cluster Optimized Proximity Scaling | 1.12-1 |
CopSens Copula-Based Sensitivity Analysis for Observational Causal Inference | 0.1.0 |
copula Multivariate Dependence with Copulas | 1.1-4 |
Copula.Markov Copula-Based Estimation and Statistical Process Control for Serially Correlated Time Series | 2.9 |
Copula.Markov.survival Copula Markov Model with Dependent Censoring | 1.0.0 |
Copula.surv Analysis of Bivariate Survival Data Based on Copulas | 1.7 |
copulaboost Fitting Additive Copula Regression Models for Binary Outcome Regression | 0.1.0 |
CopulaCenR Copula-Based Regression Models for Multivariate Censored Data | 1.2.4 |
copulaData Data Sets for Copula Modeling | 0.0-2 |
copulaedas Estimation of Distribution Algorithms Based on Copulas | 1.4.3 |
CopulaGAMM Copula-Based Mixed Regression Models | 0.4.1 |
CopulaInference Estimation and Goodness-of-Fit of Copula-Based Models with Arbitrary Distributions | 0.5.0 |
copulareg Copula Regression | 0.1.0 |
CopulaREMADA Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies | 1.7.3 |
copulaSim Virtual Patient Simulation by Copula Invariance Property | 0.0.1 |
copyseparator Assembling Long Gene Copies from Short Read Data | 1.2.0 |
COR The COR for Optimal Subset Selection in Distributed Estimation | 0.1.0 |
cora Cora Data for Entity Resolution | 0.1.0 |
coRanking Co-Ranking Matrix | 0.2.5 |
corazon Apply 'colorffy' Color Gradients Within 'shiny' Elements | 0.1.0 |
Corbi Collection of Rudimentary Bioinformatics Tools | 0.6-2 |
CorBin Generate High-Dimensional Binary Data with Correlation Structures | 1.0.0 |
corbouli Corbae-Ouliaris Frequency Domain Filtering | 0.1.3 |
corclass Correlational Class Analysis | 0.2.1 |
cord Community Estimation in G-Models via CORD | 0.1.1 |
cordillera Calculation of the OPTICS Cordillera | 1.0-3 |
CORE Cores of Recurrent Events | 3.2 |
coreCollection Core Collection | 0.9.5 |
coreCT Programmatic Analysis of Sediment Cores Using Computed Tomography Imaging | 1.3.3 |
corehunter Multi-Purpose Core Subset Selection | 3.2.3 |
CORElearn Classification, Regression and Feature Evaluation | 1.57.3.1 |
corels R Binding for the 'Certifiably Optimal RulE ListS (Corels)' Learner | 0.0.5 |
CoreMicrobiomeR Identification of Core Microbiome | 0.1.0 |
coreNLP Wrappers Around Stanford CoreNLP Tools | 0.4-3 |
coreSim Core Functionality for Simulating Quantities of Interest from Generalised Linear Models | 0.2.4 |
corHMM Hidden Markov Models of Character Evolution | 2.8 |
corkscrew Preprocessor for Data Modeling | 1.1 |
corlink Record Linkage, Incorporating Imputation for Missing Agreement Patterns, and Modeling Correlation Patterns Between Fields | 1.0.0 |
CorMID Correct Mass Isotopologue Distribution Vectors | 0.2.1 |
corncob Count Regression for Correlated Observations with the Beta-Binomial | 0.4.1 |
CornerstoneR Collection of Scripts for Interface Between 'Cornerstone' and 'R' | 2.0.2 |
cornet Penalised Regression for Dichotomised Outcomes | 1.0.0 |
coro 'Coroutines' for R | 1.1.0 |
coroICA Confounding Robust Independent Component Analysis for Noisy and Grouped Data | 1.0.2 |
corona Coronavirus ('Rona') Data Exploration | 0.3.0 |
CoronaNetR API Access to 'CoronaNet' Data | 0.3.0 |
coronavirus The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset | 0.4.1 |
corpcor Efficient Estimation of Covariance and (Partial) Correlation | 1.6.10 |
corpmetrics Tools for Valuation, Financial Metrics and Modeling in Corporate Finance | 1.0 |
corpora Statistics and Data Sets for Corpus Frequency Data | 0.6 |
corporaexplorer A 'Shiny' App for Exploration of Text Collections | 0.9.0 |
CoRpower Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials | 1.0.4 |
corpustools Managing, Querying and Analyzing Tokenized Text | 0.5.1 |
corr2D Implementation of 2D Correlation Analysis in R | 1.0.3 |
corrarray Correlation Arrays and 2-Sample Correlation Matrices | 1.2.0 |
CorrBin Nonparametrics with Clustered Binary and Multinomial Data | 1.6.2 |
corrcoverage Correcting the Coverage of Credible Sets from Bayesian Genetic Fine Mapping | 1.2.1 |
corrDNA Finding Associations in Position-Wise Aligned DNA Sequence Dataset | 1.0.1 |
correctedAUC Correcting AUC for Measurement Error | 0.0.3 |
CorrectedFDR Correcting False Discovery Rates | 1.1 |
CorrectOverloadedPeaks Correct Overloaded Peaks from GC-APCI-MS Data | 1.3.3 |
correctR Corrected Test Statistics for Comparing Machine Learning Models on Correlated Samples | 0.2.1 |
correlation Methods for Correlation Analysis | 0.8.6 |
correlationfunnel Speed Up Exploratory Data Analysis (EDA) with the Correlation Funnel | 0.2.0 |
correlbinom Correlated Binomial Probabilities | 0.0.1 |
Correlplot A Collection of Functions for Graphing Correlation Matrices | 1.1.0 |
correspondenceTables Creating Correspondence Tables Between Two Statistical Classifications | 0.7.4 |
corrfuns Correlation Coefficient Related Functions | 1.0 |
corrgram Plot a Correlogram | 1.14 |
corrgrapher Explore Correlations Between Variables in a Machine Learning Model | 1.0.4 |
corrMCT Correlated Weighted Hochberg | 0.2.0 |
corrmeta Correlated Meta-Analysis | 1.0.0 |
CorrMixed Estimate Correlations Between Repeatedly Measured Endpoints (E.g., Reliability) Based on Linear Mixed-Effects Models | 1.1 |
corrplot Visualization of a Correlation Matrix | 0.95 |
corrr Correlations in R | 0.4.4 |
corrsieve Software for Summarising and Evaluating STRUCTURE Output | 1.6-9 |
corrtable Creates and Saves Out a Correlation Table with Significance Levels Indicated | 0.1.1 |
CorrToolBox Modeling Correlational Magnitude Transformations in Discretization Contexts | 1.6.4 |
corrViz Visualise Correlations | 0.1.0 |
corset Arbitrary Bounding of Series and Time Series Objects | 0.1-5 |
corTest Robust Tests for Equal Correlation | 1.0.7 |
corTESTsrd Significance Testing of Rank Cross-Correlations under SRD | 1.0-0 |
corto Inference of Gene Regulatory Networks | 1.2.4 |
corx Create and Format Correlation Matrices | 1.0.7.2 |
cosa Bound Constrained Optimal Sample Size Allocation | 2.1.0 |
cosimmr Fast Fitting of Stable Isotope Mixing Models with Covariates | 1.0.12 |
cosinor Tools for Estimating and Predicting the Cosinor Model | 1.2.3 |
cosinor2 Extended Tools for Cosinor Analysis of Rhythms | 0.2.1 |
cosmicsig Mutational Signatures from COSMIC (Catalogue of Somatic Mutations in Cancer) | 1.1.1 |
cosmoFns Functions for Cosmological Distances, Times, Luminosities, Etc | 1.1-1 |
CoSMoS Complete Stochastic Modelling Solution | 2.1.0 |
cosso Fit Regularized Nonparametric Regression Models Using COSSO Penalty | 2.1-2 |
COST Copula-Based Semiparametric Models for Spatio-Temporal Data | 0.1.0 |
costat Time Series Costationarity Determination | 2.4.1 |
costsensitive Cost-Sensitive Multi-Class Classification | 0.1.2.10 |
CoTiMA Continuous Time Meta-Analysis ('CoTiMA') | 0.8.0 |
cotram Count Transformation Models | 0.5-2 |
cotrend Consistent Co-Trending Rank Selection | 1.0.2 |
COUNT Functions, Data and Code for Count Data | 1.3.4 |
countcolors Locates and Counts Pixels Within Color Range(s) in Images | 0.9.1 |
countdata The Beta-Binomial Test for Count Data | 1.3 |
countDM Estimation of Count Data Models | 0.1.0 |
countdown A Countdown Timer for HTML Presentations, Documents, and Web Apps | 0.4.0 |
Counterfactual Estimation and Inference Methods for Counterfactual Analysis | 1.2 |
counterfactuals Counterfactual Explanations | 0.1.6 |
Counternull Randomization-Based Inference | 0.2.12 |
countfitteR Comprehensive Automatized Evaluation of Distribution Models for Count Data | 1.4 |
countgmifs Discrete Response Regression for High-Dimensional Data | 0.0.2 |
countHMM Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts | 0.1.0 |
countland Analysis of Biological Count Data, Especially from Single-Cell RNA-Seq | 0.1.2 |
countprop Calculate Model-Based Metrics of Proportionality on Count-Based Compositional Data | 1.0.1 |
Countr Flexible Univariate Count Models Based on Renewal Processes | 3.5.8 |
countries Deal with Country Data in an Easy Way | 1.2.0 |
countrycode Convert Country Names and Country Codes | 1.6.0 |
CountsEPPM Mean and Variance Modeling of Count Data | 3.1 |
countsplit Splitting a Count Matrix into Independent Folds | 4.0.0 |
countSTAR Flexible Modeling of Count Data | 1.0.2 |
countToFPKM Convert Counts to Fragments per Kilobase of Transcript per Million (FPKM) | 1.0 |
countTransformers Transform Counts in RNA-Seq Data Analysis | 0.0.6 |
countts Thomson Sampling for Zero-Inflated Count Outcomes | 0.1.0 |
coursekata Packages and Functions for 'CourseKata' Courses | 0.18.1 |
covadap Implement Covariate-Adaptive Randomization | 1.0.1 |
covafillr Local Polynomial Regression of State Dependent Covariates in State-Space Models | 0.4.4 |
covalchemy Constructing Joint Distributions with Control Over Statistical Properties | 1.0.0 |
covatest Tests on Properties of Space-Time Covariance Functions | 1.2.3 |
covBM Brownian Motion Processes for 'nlme'-Models | 0.1.0 |
CovCombR Combine Partial Covariance / Relationship Matrices | 1.0 |
covdepGE Covariate Dependent Graph Estimation | 1.0.1 |
coveffectsplot Produce Forest Plots to Visualize Covariate Effects | 1.0.5 |
covequal Test for Equality of Covariance Matrices | 0.1.0 |
COveR Clustering with Overlaps | 1.1.0 |
coveR2 Process Digital Cover Photography Images of Tree Crowns | 1.0.0 |
covfefe Covfefy Any Word, Sentence or Speech | 0.1.0 |
covglasso Sparse Covariance Matrix Estimation | 1.0.3 |
COVID19 R Interface to COVID-19 Data Hub | 3.0.3 |
covid19.analytics Load and Analyze Live Data from the COVID-19 Pandemic | 2.1.3.3 |
covid19br Brazilian COVID-19 Pandemic Data | 0.1.8 |
covid19brazil COVID-19 Dataset for Brazil | 0.1.0 |
covid19dbcand Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in R Format | 0.1.1 |
covid19france Cases of COVID-19 in France | 0.1.0 |
covid19india Pulling Clean Data from Covid19india.org | 0.1.4 |
covid19italy The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Dataset | 0.3.1 |
covid19sf The Covid19 San Francisco Dataset | 0.1.2 |
covid19srilanka The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri Lanka | 1.1.0 |
covid19swiss COVID-19 Cases in Switzerland and Principality of Liechtenstein | 0.1.0 |
covid19tunisia Cases of COVID-19 in Tunisia | 0.1.0 |
covid19us Cases of COVID-19 in the United States | 0.1.9 |
covidcast Client for Delphi's 'COVIDcast Epidata' API | 0.5.2 |
COVIDIBGE Downloading, Reading and Analyzing PNAD COVID19 Microdata | 0.2.2 |
CovidMutations Mutation Analysis Toolkit for COVID-19 (Coronavirus Disease 2019) | 0.1.3 |
covidmx Descarga y analiza datos de COVID-19 en México | 0.7.7 |
covidnor Public COVID-19 Data for Norway | 2023.05.18 |
covidprobability Estimate the Unit-Wide Probability of COVID-19 | 0.1.0 |
covidsymptom COVID Symptom Study Sweden Open Dataset | 1.0.0 |
covKCD Covariance Estimation for Matrix Data with the Kronecker-Core Decomposition | 0.1 |
covr Test Coverage for Packages | 3.6.4 |
CovRegRF Covariance Regression with Random Forests | 2.0.1 |
covRobust Robust Covariance Estimation via Nearest Neighbor Cleaning | 1.1-3 |
CovSel Model-Free Covariate Selection | 1.2.1 |
covsep Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable | 1.1.0 |
covsim VITA, IG and PLSIM Simulation for Given Covariance and Marginals | 1.1.0 |
covTestR Covariance Matrix Tests | 0.1.4 |
CovTools Statistical Tools for Covariance Analysis | 0.5.4 |
covtracer Contextualizing Tests | 0.0.1 |
cowbell Performs Segmented Linear Regression on Two Independent Variables | 0.1.0 |
cowplot Streamlined Plot Theme and Plot Annotations for 'ggplot2' | 1.1.3 |
cowsay Messages, Warnings, Strings with Ascii Animals | 1.0.0 |
CoxAIPW Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring | 0.0.3 |
CoxBcv Bias-Corrected Sandwich Variance Estimators for Marginal Cox Analysis of Cluster Randomized Trials | 0.0.1.0 |
coxed Duration-Based Quantities of Interest for the Cox Proportional Hazards Model | 0.3.3 |
coxerr Cox Regression with Dependent Error in Covariates | 1.1 |
CoxICPen Variable Selection for Cox's Model with Interval-Censored Data | 1.1.0 |
coxme Mixed Effects Cox Models | 2.2-22 |
Coxmos Cox MultiBlock Survival | 1.0.2 |
coxphf Cox Regression with Firth's Penalized Likelihood | 1.13.4 |
coxphm Time-to-Event Data Analysis with Missing Survival Times | 0.1.0 |
coxphSGD Stochastic Gradient Descent log-Likelihood Estimation in Cox Proportional Hazards Model | 0.2.1 |
coxphw Weighted Estimation in Cox Regression | 4.0.3 |
CoxPlus Cox Regression (Proportional Hazards Model) with Multiple Causes and Mixed Effects | 1.1.1 |
CoxR2 R-Squared Measure Based on Partial LR Statistic, for the Cox PH Regression Model | 1.0 |
coxrobust Fit Robustly Proportional Hazards Regression Model | 1.0.1 |
coxrt Cox Proportional Hazards Regression for Right-Truncated Data | 1.0.3 |
coxsei Fitting a CoxSEI Model | 0.3 |
CP Conditional Power Calculations | 1.8 |
cp4p Calibration Plot for Proteomics | 0.3.6 |
cpa Confirmatory Path Analysis Through 'd-sep' Tests | 1.0.1 |
CPAT Change Point Analysis Tests | 0.1.0 |
CPBayes Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations | 1.1.0 |
CPC Implementation of Cluster-Polarization Coefficient | 2.6.0 |
CPCAT The Closure Principle Computational Approach Test | 1.0.0 |
cPCG Efficient and Customized Preconditioned Conjugate Gradient Method for Solving System of Linear Equations | 1.0 |
cpd Complex Pearson Distributions | 0.3.3 |
CPE Concordance Probability Estimates in Survival Analysis | 1.6.3 |
cpfa Classification with Parallel Factor Analysis | 1.1-6 |
CpGassoc Association Between Methylation and a Phenotype of Interest | 2.70 |
CpGFilter CpG Filtering Method Based on Intra-Class Correlation Coefficients | 1.1 |
CPGLIB Competing Proximal Gradients Library | 1.1.1 |
cpi Conditional Predictive Impact | 0.1.5 |
cplm Compound Poisson Linear Models | 0.7-12.1 |
cplots Plots for Circular Data | 0.5-0 |
cpm Sequential and Batch Change Detection Using Parametric and Nonparametric Methods | 2.3 |
cpmBigData Fitting Semiparametric Cumulative Probability Models for Big Data | 0.0.1 |
CPMCGLM Correction of the P-Value after Multiple Coding in Generalized Linear Models | 1.2 |
CpmERCCutoff Calculation of Log2 Counts per Million Cutoff from ERCC Controls | 1.0.0 |
cpmr Connectome Predictive Modelling in R | 0.1.0 |
CPNCoverageAnalysis Conceptual Properties Norming Studies as Parameter Estimation | 1.1.0 |
cpop Detection of Multiple Changes in Slope in Univariate Time-Series | 1.0.7 |
CPoptim Convex Partition Optimisation | 0.1.0 |
CPP Composition of Probabilistic Preferences (CPP) | 0.1.0 |
cpp11 A C++11 Interface for R's C Interface | 0.5.1 |
cpp11armadillo An 'Armadillo' Interface | 0.4.0 |
cpp11eigen An 'Eigen' Interface | 0.2.0 |
cpp11tesseract Open Source OCR Engine | 5.3.2 |
cppcheckR Check 'C' and 'C++' Files using 'Cppcheck' | 1.0.0 |
cppcontainers 'C++' Standard Template Library Containers | 1.0.1 |
cppdoubles Fast Relative Comparisons of Floating Point Numbers in 'C++' | 0.3.0 |
cppRouting Algorithms for Routing and Solving the Traffic Assignment Problem | 3.1 |
cpr Control Polygon Reduction | 0.4.0 |
cprobit Conditional Probit Model for Analysing Continuous Outcomes | 1.0.2 |
cprr Functions for Working with Danish CPR Numbers | 0.2.0 |
cPseudoMaRg Constructs a Correlated Pseudo-Marginal Sampler | 1.0.1 |
cpsR Load CPS Microdata into R Using the 'Census Bureau Data' API | 1.0.0 |
cpss Change-Point Detection by Sample-Splitting Methods | 0.0.3 |
CPsurv Nonparametric Change Point Estimation for Survival Data | 1.0.0 |
cpsurvsim Simulating Survival Data from Change-Point Hazard Distributions | 1.2.2 |
cpsvote A Toolbox for Using the CPS’s Voting and Registration Supplement | 0.1.0 |
cpt Classification Permutation Test | 1.0.2 |
cptcity 'cpt-city' Colour Gradients | 1.1.1 |
CptNonPar Nonparametric Change Point Detection for Multivariate Time Series | 0.2.1 |
cqn | 1.52.0 |
cqrReg Quantile, Composite Quantile Regression and Regularized Versions | 1.2.1 |
cquad Conditional Maximum Likelihood for Quadratic Exponential Models for Binary Panel Data | 2.3 |
CR2 Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments | 0.2.1 |
CRABS Congruent Rate Analyses in Birth-Death Scenarios | 1.2.0 |
cragg Tests for Weak Instruments in R | 0.0.1 |
cramer Multivariate Nonparametric Cramer-Test for the Two-Sample-Problem | 0.9-4 |
crandep Network Analysis of Dependencies of CRAN Packages | 0.3.11 |
crank Completing Ranks | 1.1-2 |
cranlike Tools for 'CRAN'-Like Repositories | 1.0.3 |
cranlogs Download Logs from the 'RStudio' 'CRAN' Mirror | 2.1.1 |
cranly Package Directives and Collaboration Networks in CRAN | 0.6.0 |
CRANsearcher RStudio Addin for Searching Packages in CRAN Database Based on Keywords | 1.0.0 |
crassmat Conditional Random Sampling Sparse Matrices | 0.0.6 |
crawl Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data | 2.3.0 |
crayon Colored Terminal Output | 1.5.3 |
crayons Color Palettes from Crayon Boxes | 0.0.3 |
crc32c Cyclic Redundancy Check with CPU-Specific Acceleration | 0.0.2 |
crch Censored Regression with Conditional Heteroscedasticity | 1.2-1 |
crctStepdown Univariate Analysis of Cluster Trials with Multiple Outcomes | 0.5.2 |
CRE Interpretable Discovery and Inference of Heterogeneous Treatment Effects | 0.2.7 |
CREAM Clustering of Genomic Regions Analysis Method | 1.1.1 |
createLogicalPCM Create Logical Pairwise Comparison Matrix for the Analytic Hierarchy Process | 0.1.0 |
credentials Tools for Managing SSH and Git Credentials | 2.0.2 |
CRediTas Generate CRediT Author Statements | 0.2.0 |
creditmodel Toolkit for Credit Modeling, Analysis and Visualization | 1.3.1 |
CreditRisk Evaluation of Credit Risk with Structural and Reduced Form Models | 0.1.7 |
CREDS Calibrated Ratio Estimator under Double Sampling Design | 0.1.0 |
credsubs Credible Subsets | 1.1.1 |
credule Credit Default Swap Functions | 0.1.4 |
cregg Simple Conjoint Tidying, Analysis, and Visualization | 0.4.0 |
crew A Distributed Worker Launcher Framework | 0.10.2 |
crew.aws.batch A Crew Launcher Plugin for AWS Batch | 0.0.7 |
crew.cluster Crew Launcher Plugins for Traditional High-Performance Computing Clusters | 0.3.3 |
CRF Conditional Random Fields | 0.4-3 |
crfsuite Conditional Random Fields for Labelling Sequential Data in Natural Language Processing | 0.4.2 |
cricketdata International Cricket Data | 0.2.3 |
cricketr Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru | 0.0.26 |
crimCV Group-Based Modelling of Longitudinal Data | 1.0.0 |
crimedata Access Crime Data from the Open Crime Database | 0.3.5 |
crimeutils A Comprehensive Set of Functions to Clean, Analyze, and Present Crime Data | 0.5.1 |
crisp Fits a Model that Partitions the Covariate Space into Blocks in a Data- Adaptive Way | 1.0.0 |
crispRdesignR Guide Sequence Design for CRISPR/Cas9 | 1.1.7 |
criticality Modeling Fissile Material Operations in Nuclear Facilities | 0.9.3 |
criticalpath An Implementation of the Critical Path Method | 0.2.1 |
critpath Setting the Critical Path in Project Management | 0.2.2 |
CRM Continual Reassessment Method (CRM) for Phase I Clinical Trials | 1.2.4 |
crm12Comb Phase I/II CRM Based Drug Combination Design | 0.1.9 |
CRMetrics Cell Ranger Output Filtering and Metrics Visualization | 0.3.2 |
crmn CCMN and Other Normalization Methods for Metabolomics Data | 0.0.21 |
crmPack Object-Oriented Implementation of CRM Designs | 1.0.6 |
crmReg Cellwise Robust M-Regression and SPADIMO | 1.0.2 |
crochet Implementation Helper for '[' and '[<-' of Custom Matrix-Like Types | 2.3.0 |
cromwellDashboard A Dashboard to Visualize Scientific Workflows in 'Cromwell' | 0.5.1 |
Cronbach Cronbach's Alpha | 0.1 |
crone Structural Crystallography in 1d | 0.1.1 |
cronologia Create an HTML Vertical Timeline from a Data Frame in 'rmarkdown' and 'shiny' | 0.2.0 |
cronR Schedule R Scripts and Processes with the 'cron' Job Scheduler | 0.6.5 |
crop Graphics Cropping Tool | 0.0-3 |
cropcircles Crops an Image to a Circle | 0.2.4 |
cropdatape Open Data of Agricultural Production of Crops of Peru | 1.0.0 |
cropDemand Spatial Crop Water Demand for Brazil | 1.0.3 |
cropgrowdays Crop Growing Degree Days and Agrometeorological Calculations | 0.2.1 |
crops Changepoints for a Range of Penalties (CROPS) | 1.0.3 |
CropScapeR Access Cropland Data Layer Data via the 'CropScape' Web Service | 1.1.5 |
CropWaterBalance Climate Water Balance for Irrigation Purposes | 0.2.0 |
cropZoning Climate Crop Zoning Based in Air Temperature for Brazil | 1.0.3 |
CrossCarry Analysis of Data from a Crossover Design with GEE | 0.4.0 |
CrossClustering A Partial Clustering Algorithm | 4.1.2 |
crossdes Construction of Crossover Designs | 1.1-2 |
crosshap Local Haplotype Clustering and Visualization | 1.4.0 |
crosslag Perform Linear or Nonlinear Cross Lag Analysis | 0.1.0 |
crossmap Apply Functions to All Combinations of List Elements | 0.4.0 |
crossmatch The Cross-Match Test | 1.4-0 |
crossnma Cross-Design & Cross-Format Network Meta-Analysis and Regression | 1.3.0 |
Crossover Analysis and Search of Crossover Designs | 0.1-22 |
crossrun Joint Distribution of Number of Crossings and Longest Run | 0.1.1 |
crosstable Crosstables for Descriptive Analyses | 0.8.1 |
Crosstabs.Loglinear Cross Tabulation and Loglinear Analyses of Categorical Data | 0.1.1 |
crosstalk Inter-Widget Interactivity for HTML Widgets | 1.2.1 |
crosstalkr Analysis of Graph-Structured Data with a Focus on Protein-Protein Interaction Networks | 1.0.5 |
crossurr Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers | 1.1.1 |
CrossVA Verbal Autopsy Data Transformation for InSilicoVA and InterVA5 Algorithms | 1.0.0 |
crossval Generic Functions for Cross Validation | 1.0.5 |
CrossValidate Classes and Methods for Cross Validation of "Class Prediction" Algorithms | 2.3.4 |
crossvalidationCP Cross-Validation for Change-Point Regression | 1.1 |
crosswalkr Rename and Encode Data Frames Using External Crosswalk Files | 0.2.6 |
crossword.r Generating Crosswords from Word Lists | 0.3.6 |
crov Constrained Regression Model for an Ordinal Response and Ordinal Predictors | 0.3.0 |
crplyr A 'dplyr' Interface for Crunch | 0.4.0 |
crqa Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis | 2.0.6 |
crrcbcv Bias-Corrected Variance for Competing Risks Regression with Clustered Data | 1.0 |
crrSC Competing Risks Regression for Stratified and Clustered Data | 1.1.2 |
crrstep Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model | 2024.1.1 |
crs Categorical Regression Splines | 0.15-38 |
crseEventStudy A Robust and Powerful Test of Abnormal Stock Returns in Long-Horizon Event Studies | 1.2.2 |
crsmeta Extract Coordinate System Metadata | 0.3.0 |
crsnls Nonlinear Regression Parameters Estimation by 'CRS4HC' and 'CRS4HCe' | 0.2 |
crso Cancer Rule Set Optimization ('crso') | 0.1.1 |
crsra Tidying and Analyzing 'Coursera' Research Export Data | 0.2.3 |
crsuggest Obtain Suggested Coordinate Reference System Information for Spatial Data | 0.4 |
crt2power Designing Cluster-Randomized Trials with Two Co-Primary Outcomes | 1.1.0 |
CRTConjoint Conditional Randomization Testing (CRT) Approach for Conjoint Analysis | 0.1.0 |
CRTgeeDR Doubly Robust Inverse Probability Weighted Augmented GEE Estimator | 2.0.1 |
CRTSize Sample Size Estimation Functions for Cluster Randomized Trials | 1.2 |
CRTspat Workflow for Cluster Randomised Trials with Spillover | 1.3.0 |
crul HTTP Client | 1.5.0 |
crumble Flexible and General Mediation Analysis Using Riesz Representers | 0.1.2 |
crunch Crunch.io Data Tools | 1.30.4 |
crunchy Shiny Apps on Crunch | 0.3.3 |
cruts Interface to Climatic Research Unit Time-Series Version 3.21 Data | 1.1 |
CruzPlot Plot Shipboard DAS Data | 1.4.9 |
crwbmetareg Cluster Robust Wild Bootstrap Meta Regression | 1.0 |
CRWRM Changing the Reference Group without Re-Running the Model | 0.0.1 |
cry Statistics for Structural Crystallography | 0.5.1 |
crypto2 Download Crypto Currency Data from 'CoinMarketCap' without 'API' | 2.0.3 |
cryptography Encrypts and Decrypts Text Ciphers | 1.0.0 |
cryptoQuotes Open Access to Cryptocurrency Market Data, Sentiment Indicators and Interactive Charts | 1.3.2 |
cryptorng Access System Cryptographic Pseudorandom Number Generators | 0.1.4 |
cryptotrackr An Interface to Crypto Data Sources | 1.3.3 |
cryptoverse Visualization and Analytics for the Cryptoverse | 0.1.0 |
cryptowatchR An API Wrapper for 'Cryptowatch' | 0.2.0 |
CryptRndTest Statistical Tests for Cryptographic Randomness | 1.2.7 |
cryst Calculate the Relative Crystallinity of Starch by XRD and FTIR | 0.1.0 |
csa A Cross-Scale Analysis Tool for Model-Observation Visualization and Integration | 0.7.1 |
csalert Alerts from Public Health Surveillance Data | 2024.6.24 |
csampling Functions for Conditional Simulation in Regression-Scale Models | 1.2-2.1 |
CsChange Testing for Change in C-Statistic | 0.1.7 |
csci Current Status Confidence Intervals | 0.9.3 |
CSclone Bayesian Nonparametric Modeling in R | 1.0 |
CSCNet Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty | 0.1.2 |
csdata Structural Data for Norway | 2024.4.26 |
cSEM Composite-Based Structural Equation Modeling | 0.5.0 |
CSeqpat Frequent Contiguous Sequential Pattern Mining of Text | 0.1.2 |
CSESA CRISPR-Based Salmonella Enterica Serotype Analyzer | 1.2.0 |
CSGo Collecting Counter Strike Global Offensive Data | 0.6.7 |
cshapes The CShapes 2.0 Dataset and Utilities | 2.0 |
CSHShydRology Canadian Hydrological Analyses | 1.4.2 |
CSIndicators Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions | 1.1.1 |
csmaps Preformatted Maps of Norway that Don't Need Geolibraries | 2023.5.22 |
CSMES Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions | 1.0.1 |
csmpv Biomarker Confirmation, Selection, Modelling, Prediction, and Validation | 1.0.3 |
csn Closed Skew-Normal Distribution | 1.1.3 |
csodata Download Data from the CSO 'PxStat' API | 1.5.0 |
cspec Complete Discrete Fourier Transform (DFT) and Periodogram | 0.1.2 |
cspp A Tool for the Correlates of State Policy Project Data | 0.3.3 |
csppData Data Only: The Correlates of State Policy Project Dataset | 0.2.61 |
csquares Concise Spatial Query and Representation System (c-Squares) | 0.1.0 |
csranks Statistical Tools for Ranks | 1.2.3 |
cssTools Cognitive Social Structure Tools | 1.0 |
cstab Selection of Number of Clusters via Normalized Clustering Instability | 0.2-2 |
CSTE Covariate Specific Treatment Effect (CSTE) Curve | 3.0.0 |
cstidy Helpful Functions for Cleaning Surveillance Data | 2023.5.24 |
cstime Date and Time Functions for Public Health Purposes | 2023.5.3 |
CSTools Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales | 5.2.0 |
csurvey Constrained Regression for Survey Data | 1.9 |
csutil Common Base-R Problems Relating to Lists | 2023.4.25 |
csv Read and Write CSV Files with Selected Conventions | 0.6.2 |
csvread Fast Specialized CSV File Loader | 1.2.3 |
csvwr Read and Write CSV on the Web (CSVW) Tables and Metadata | 0.1.7 |
csvy Import and Export CSV Data with a YAML Metadata Header | 0.3.0 |
cta Contingency Table Analysis Based on ML Fitting of MPH Models | 1.3.0 |
CTAShiny Interactive Application for Working with Contingency Tables | 0.1.0 |
ctbi A Procedure to Clean, Decompose and Aggregate Timeseries | 2.0.5 |
CTD A Method for 'Connecting The Dots' in Weighted Graphs | 1.3 |
ctf Read and Write Column Text Format (CTF) | 0.1.0 |
ctgdist Likert Category Distance Calculator | 0.1.0 |
ctgt Closed Testing with Globaltest for Pathway Analysis | 2.0.1 |
cthist Clinical Trial Registry History | 2.1.11 |
cthreshER Continuous Threshold Expectile Regression | 1.1.0 |
ctl Correlated Trait Locus Mapping | 1.0.0-10 |
CTM A Text Mining Toolkit for Chinese Document | 0.2 |
ctmcd Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data | 1.4.4 |
ctmcmove Modeling Animal Movement with Continuous-Time Discrete-Space Markov Chains | 1.2.9 |
cTMed Continuous Time Mediation | 1.0.2 |
ctmle Collaborative Targeted Maximum Likelihood Estimation | 0.1.2 |
ctmm Continuous-Time Movement Modeling | 1.2.0 |
ctmva Continuous-Time Multivariate Analysis | 1.4.0 |
CTNote CTN Outcomes, Treatments, and Endpoints | 0.1.0 |
cTOST Finite Sample Correction of the Two One-Sided Tests in the Univariate Framework | 1.0.0 |
ctpm Continuous-Time Phylogenetic Modeling | 1.0.1 |
ctqr Censored and Truncated Quantile Regression | 2.1 |
ctrdata Retrieve and Analyze Clinical Trials in Public Registers | 1.20.0 |
ctrialsgov Query Data from U.S. National Library of Medicine's Clinical Trials Database | 0.2.5 |
CTRing Density Profiles of Wood from CT Scan Images | 0.1.0 |
ctrlGene Assess the Stability of Candidate Housekeeping Genes | 1.0.1 |
ctsem Continuous Time Structural Equation Modelling | 3.10.1 |
ctsemOMX Continuous Time SEM - 'OpenMx' Based Functions | 1.0.6 |
ctsfeatures Analyzing Categorical Time Series | 1.2.2 |
CTShiny Interactive Document for Working with Classification Tree Analysis | 0.1.0 |
CTShiny2 Interactive Document for Working with Classification Tree Analysis | 0.1.0 |
CTT Classical Test Theory Functions | 2.3.3 |
CTTinShiny Shiny Interface for the CTT Package | 0.1.0 |
CTTShiny Classical Test Theory via Shiny | 0.1 |
CTTvis Visualize Item Metrics of the Classical Test Theory Framework | 0.1.0 |
ctv CRAN Task Views | 0.9-6 |
CTxCC Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart | 0.2.0 |
ctxR Utilities for Interacting with the 'CTX' APIs | 1.0.0 |
ctypesio Read and Write Standard C Types from Files, Connections and Raw Vectors | 0.1.1 |
cuadramelo Matrix Balancing and Rounding | 1.0.0 |
CUB A Class of Mixture Models for Ordinal Data | 1.1.5 |
cubar Codon Usage Bias Analysis | 1.1.0 |
cubature Adaptive Multivariate Integration over Hypercubes | 2.1.1 |
cubble A Vector Spatio-Temporal Data Structure for Data Analysis | 1.0.0 |
cubelyr A Data Cube 'dplyr' Backend | 1.0.2 |
cubeview View 3D Raster Cubes Interactively | 0.2.0 |
cubfits Codon Usage Bias Fits | 0.1-4 |
cubicBsplines Computation of a Cubic B-Spline Basis and Its Derivatives | 1.0.0 |
cubing Rubik's Cube Solving | 1.0-5 |
Cubist Rule- And Instance-Based Regression Modeling | 0.4.4 |
cucumber Behavior-Driven Development for R | 1.1.0 |
cuda.ml R Interface for the RAPIDS cuML Suite of Libraries | 0.3.2 |
CUFF Charles's Utility Function using Formula | 1.9 |
cultevo Tools, Measures and Statistical Tests for Cultural Evolution | 1.0.2 |
CUMP Analyze Multivariate Phenotypes by Combining Univariate Results | 2.0 |
cumprinc Functions Centered Around Microsoft Excel Cumprinc Function | 0.1 |
cumSeg Change Point Detection in Genomic Sequences | 1.3 |
cumstats Cumulative Descriptive Statistics | 1.0 |
cumulcalib Cumulative Calibration Assessment for Prediction Models | 0.0.1 |
cumulocityr Client for the 'Cumulocity' API | 0.1.0 |
cuperdec Cumulative Percent Decay Curve Generator | 1.1.0 |
cuRe Parametric Cure Model Estimation | 1.1.1 |
CureAuxSP Mixture Cure Models with Auxiliary Subgroup Survival Probabilities | 0.0.1 |
CureDepCens Dependent Censoring Regression Models with Cure Fraction | 0.1.0 |
curephEM NPMLE for Logistic-Cox Cure-Rate Model | 0.3.0 |
cureplots CURE (Cumulative Residual) Plots | 1.1.1 |
curesurv Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators | 0.1.1 |
curl A Modern and Flexible Web Client for R | 6.0.1 |
currencyapi Client for the 'currencyapi.com' Currency Conversion API | 0.1.0 |
currentSurvival Estimation of CCI and CLFS Functions | 1.1 |
CurricularAnalytics Exploring and Analyzing Academic Curricula | 1.0.0 |
currr Apply Mapping Functions in Frequent Saving | 0.1.2 |
curry Partial Function Application with %<%, %-<%, and %><% | 0.1.1 |
cursr Cursor and Terminal Manipulation | 0.1.0 |
curstatCI Confidence Intervals for the Current Status Model | 0.1.1 |
curtailment Finds Binary Outcome Designs Using Stochastic Curtailment | 0.2.6 |
curvecomp Multiple Curve Comparisons Using Parametric Bootstrap | 0.1.0 |
curveDepth Tukey Curve Depth and Distance in the Space of Curves | 0.1.0.9 |
curvHDR Filtering of Flow Cytometry Samples | 1.2-2 |
curvir Specify Reserve Demand Curves | 0.1.1 |
cusp Cusp-Catastrophe Model Fitting Using Maximum Likelihood | 2.3.8 |
custom.gauss.quad Custom Made Gauss Quadrature Nodes and Weights | 1.0.0 |
CustomDerivative Pricing Various Types of Custom Derivatives | 0.1.1 |
CustomerScoringMetrics Evaluation Metrics for Customer Scoring Models Depending on Binary Classifiers | 1.0.0 |
customiser Use R Markdown to Write your "Rprofile" | 0.1.1 |
customizedTraining Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models | 1.2 |
CustosAscensor Costs Allocation for the Installation of an Elevator | 0.1.0 |
cusum Cumulative Sum (CUSUM) Charts for Monitoring of Hospital Performance | 0.4.1 |
cusumcharter Easier CUSUM Control Charts | 0.1.0 |
CUSUMdesign Compute Decision Interval and Average Run Length for CUSUM Charts | 1.1.5 |
cutoff Seek the Significant Cutoff Value | 1.3 |
cutpointr Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks | 1.2.0 |
CutpointsOEHR Optimal Equal-HR Method to Find Two Cutpoints for U-Shaped Relationships in Cox Model | 0.1.2 |
cv Cross-Validating Regression Models | 2.0.3 |
cvap Citizen Voting Age Population | 0.1.5 |
cvar Compute Expected Shortfall and Value at Risk for Continuous Distributions | 0.5 |
cvasi Calibration, Validation, and Simulation of TKTD Models | 1.3.1 |
cvAUC Cross-Validated Area Under the ROC Curve Confidence Intervals | 1.1.4 |
cvCovEst Cross-Validated Covariance Matrix Estimation | 1.2.2 |
cvcrand Efficient Design and Analysis of Cluster Randomized Trials | 0.1.1 |
CVD Color Vision Deficiencies | 1.0.2 |
cvdprevent Wrapper for the 'CVD Prevent' Application Programming Interface | 0.2.0 |
cvequality Tests for the Equality of Coefficients of Variation from Multiple Groups | 0.2.0 |
cvGEE Cross-Validated Predictions from GEE | 0.3-0 |
CVglasso Lasso Penalized Precision Matrix Estimation | 1.0 |
cvLM Cross-Validation for Linear & Ridge Regression Models | 1.0.4 |
cvmaPLFAM Cross-Validation Model Averaging for Partial Linear Functional Additive Models | 0.1.0 |
cvmdisc Cramer von Mises Tests for Discrete or Grouped Distributions | 0.1.0 |
cvmgof Cramer-von Mises Goodness-of-Fit Tests | 1.0.3 |
CvmortalityMult Cross-Validation for Multi-Population Mortality Models | 1.0.7 |
cvms Cross-Validation for Model Selection | 1.6.2 |
CVR Canonical Variate Regression | 0.1.1 |
CVrisk Compute Risk Scores for Cardiovascular Diseases | 1.1.1 |
cvsem SEM Model Comparison with K-Fold Cross-Validation | 1.0.0 |
CVST Fast Cross-Validation via Sequential Testing | 0.2-3 |
CVThresh Level-Dependent Cross-Validation Thresholding | 1.1.2 |
cvTools Cross-Validation Tools for Regression Models | 0.3.3 |
cvwrapr Tools for Cross Validation | 1.0 |
CVXR Disciplined Convex Optimization | 1.0-15 |
cwbtools Tools to Create, Modify and Manage 'CWB' Corpora | 0.4.2 |
cwot Cauchy Weighted Joint Test for Pharmacogenetics Analysis | 0.1.0 |
CWT Continuous Wavelet Transformation for Spectroscopy | 0.2.1 |
cxhull Convex Hull | 0.7.4 |
cxr A Toolbox for Modelling Species Coexistence in R | 1.1.1 |
cxxfunplus Extend 'cxxfunction' by Saving the Dynamic Shared Objects | 1.0.2 |
cycleRtools Tools for Cycling Data Analysis | 1.1.1 |
cyclestreets Cycle Routing and Data for Cycling Advocacy | 1.0.3 |
cyclocomp Cyclomatic Complexity of R Code | 1.1.1 |
cycloids Tools for Calculating Hypocycloids, Epicycloids, Hypotrochoids, and Epitrochoids | 1.0.2 |
cyclomort Survival Modeling with a Periodic Hazard Function | 1.0.2 |
Cyclops Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis | 3.5.0 |
cyclotomic The Field of Cyclotomic Numbers | 1.3.0 |
cyjShiny Cytoscape.js Shiny Widget (cyjShiny) | 1.0.42 |
cylcop Circular-Linear Copulas with Angular Symmetry for Movement Data | 0.2.0 |
cymruservices Query 'Team Cymru' 'IP' Address, Autonomous System Number ('ASN'), Border Gateway Protocol ('BGP'), Bogon and 'Malware' Hash Data Services | 0.5.0 |
cyphr High Level Encryption Wrappers | 1.1.4 |
cystiSim Agent-Based Model for Taenia_solium Transmission and Control | 0.1.0 |
CytobankAPI Cytobank API Wrapper for R | 2.2.1 |
cytofan Plot Fan Plots for Cytometry Data using 'ggplot2' | 0.1.0 |
cytometree Automated Cytometry Gating and Annotation | 2.0.2 |
cytominer Methods for Image-Based Cell Profiling | 0.2.2 |
CytOpT Optimal Transport for Gating Transfer in Cytometry Data with Domain Adaptation | 0.9.4 |
CytoSimplex Simplex Visualization of Cell Fate Similarity in Single-Cell Data | 0.1.1 |
czechrates Czech Interest & Foreign Exchange Rates | 0.2.5 |
czso Use Open Data from the Czech Statistical Office in R | 0.4.1 |
D2MCS Data Driving Multiple Classifier System | 1.0.1 |
D3GB Interactive Genome Browser | 2.0 |
D3mirt Descriptive 3D Multidimensional Item Response Theory Modelling | 2.0.4 |
d3Network Tools for creating D3 JavaScript network, tree, dendrogram, and<U+000a>Sankey graphs from R | 0.5.2.1 |
D3partitionR Interactive Charts of Nested and Hierarchical Data with 'D3.js' | 0.5.0 |
d3plus Seamless 'D3Plus' Integration | 0.1.0 |
d3po Fast and Beautiful Interactive Visualization for 'Markdown' and 'Shiny' | 0.5.5 |
d3r 'd3.js' Utilities for R | 1.1.0 |
d3Tree Create Interactive Collapsible Trees with the JavaScript 'D3' Library | 0.3.0 |
d4storagehub4R Interface to 'D4Science' 'StorageHub' API | 0.4-4 |
D4TAlink.light FAIR Data - Workflow Management | 2.1.17 |
DA Discriminant Analysis for Evolutionary Inference | 1.2.0 |
DAAG Data Analysis and Graphics Data and Functions | 1.25.6 |
DAAGbio Data Sets and Functions, for Demonstrations with Expression Arrays and Gene Sequences | 0.63-4 |
daarem Damped Anderson Acceleration with Epsilon Monotonicity for Accelerating EM-Like Monotone Algorithms | 0.7 |
dabestr Data Analysis using Bootstrap-Coupled Estimation | 2023.9.12 |
dabr Database Management with R | 0.0.4 |
dacc Detection and Attribution Analysis of Climate Change | 0.0-5 |
DACF Data Analysis with Ceiling and/or Floor Data | 1.0.0 |
dad Three-Way / Multigroup Data Analysis Through Densities | 4.1.5 |
dada2 | 1.34.0 |
dadjoke Displays a Dad Joke | 1.0 |
dadjokeapi Return a Random Dad Joke | 1.0.2 |
dados Translate Datasets to Portuguese | 0.1.0 |
dae Functions Useful in the Design and ANOVA of Experiments | 3.2.30 |
daewr Design and Analysis of Experiments with R | 1.2-11 |
daff Diff, Patch and Merge for Data.frames | 1.1.1 |
dafishr Download, Wrangle, and Analyse Vessel Monitoring System Data | 1.0.1 |
dafs Data Analysis for Forensic Scientists | 1.0-38 |
dagirlite Spatial Vector Data for Danmarks Administrative Geografiske Inddeling DAGI | 0.1.0 |
dagitty Graphical Analysis of Structural Causal Models | 0.3-4 |
dagR Directed Acyclic Graphs: Analysis and Data Simulation | 1.2.1 |
dagwood DAGs with Omitted Objects Displayed (DAGWOOD) | 0.1.4 |
dail Data from Access to Information Law | 1.5.2 |
DAIME Effects of Changing Deposition Rates | 2.1.3 |
daiquiri Data Quality Reporting for Temporal Datasets | 1.1.1 |
daiR Interface with Google Cloud Document AI API | 1.0.1 |
DAISIE Dynamical Assembly of Islands by Speciation, Immigration and Extinction | 4.4.1 |
DAISIEprep Extracts Phylogenetic Island Community Data from Phylogenetic Trees | 0.4.0 |
DAKS Data Analysis and Knowledge Spaces | 2.1-3 |
DALEX moDel Agnostic Language for Exploration and eXplanation | 2.4.3 |
DALEXtra Extension for 'DALEX' Package | 2.3.0 |
DALSM Nonparametric Double Additive Location-Scale Model (DALSM) | 0.9.1 |
daltoolbox Leveraging Experiment Lines to Data Analytics | 1.1.727 |
daltoolboxdp Data Pre-Processing Extensions | 1.0.777 |
DALY The DALY Calculator - Graphical User Interface for Probabilistic DALY Calculation in R | 1.5.0 |
dam Data Analysis Metabolomics | 0.0.1 |
damAOI Create an 'Area of Interest' Around a Constructed Dam for Comparative Impact Evaluations | 0.1 |
DamiaNN Neural Network Numerai | 1.0.0 |
DAMOCLES Dynamic Assembly Model of Colonization, Local Extinction and Speciation | 2.3 |
dampack Decision-Analytic Modeling Package | 1.0.2.1000 |
damr Interface to Drosophila Activity Monitor System Result Files | 0.3.7 |
dams Dams in the United States from the National Inventory of Dams (NID) | 0.3.0 |
DandEFA Dandelion Plot for R-Mode Exploratory Factor Analysis | 1.6 |
dang 'Dang' Associated New Goodies | 0.0.16 |
dani Design and Analysis of Non-Inferiority Trials | 0.1-1 |
DanielBiostatistics10th Functions for Wayne W. Daniel's Biostatistics, Tenth Edition | 0.2.6 |
dann Discriminant Adaptive Nearest Neighbor Classification | 1.0.0 |
danstat R Client for the Statistics Denmark Databank API | 0.2.0 |
dapper Data Augmentation for Private Posterior Estimation | 1.0.1 |
daqapo Data Quality Assessment for Process-Oriented Data | 0.3.2 |
DArand Differential Analysis with Random Reference Genes | 0.0.1.2 |
Dark The Analysis of Dark Adaptation Data | 0.9.8 |
DarkDiv Estimating Dark Diversity and Site-Specific Species Pools | 0.3.0 |
darksky Tools to Work with the 'Dark Sky' 'API' | 1.3.0 |
dartR Importing and Analysing 'SNP' and 'Silicodart' Data Generated by Genome-Wide Restriction Fragment Analysis | 2.9.7 |
dartR.base Analysing 'SNP' and 'Silicodart' Data - Basic Functions | 0.98 |
dartR.captive Analysing 'SNP' Data to Support Captive Breeding | 0.75 |
dartR.data Auxiliary Data Package for Our Main Package 'dartR' | 1.0.8 |
dartR.popgen Analysing 'SNP' and 'Silicodart' Data Generated by Genome-Wide Restriction Fragment Analysis | 1.0.0 |
dartR.sexlinked Analysing SNP Data to Identify Sex-Linked Markers | 1.0.5 |
dartR.sim Computer Simulations of 'SNP' Data | 0.70 |
dartR.spatial Applying Landscape Genomic Methods on 'SNP' and 'Silicodart' Data | 0.78 |
dartRverse Install and Load the 'dartRverse' Suits of Packages | 1.0.2 |
dashboardthemes Customise the Appearance of 'shinydashboard' Applications using Themes | 1.1.6 |
Dasst Tools for Reading, Processing and Writing 'DSSAT' Files | 0.3.4 |
dat Tools for Data Manipulation | 0.5.0 |
data.table Extension of `data.frame` | 1.16.4 |
data.table.threads Analyze Multi-Threading Performance for 'data.table' Functions | 1.0.1 |
data.tree General Purpose Hierarchical Data Structure | 1.1.0 |
data.validator Automatic Data Validation and Reporting | 0.2.1 |
data360r Wrapper for 'TCdata360' and 'Govdata360' API | 1.0.9 |
DatabaseConnector Connecting to Various Database Platforms | 6.3.2 |
DatabaseConnectorJars JAR Dependencies for the 'DatabaseConnector' Package | 1.1.0 |
DatabionicSwarm Swarm Intelligence for Self-Organized Clustering | 2.0.0 |
databraryr Interact with the 'Databrary.org' API | 0.6.6 |
dataclass Easily Create Structured Lists or Data Frames with Input Validation | 1.0.0 |
DataClean Data Cleaning | 1.0 |
datacleanr Interactive and Reproducible Data Cleaning | 1.0.3 |
DataCombine Tools for Easily Combining and Cleaning Data Sets | 0.2.21 |
dataCompare A 'shiny' App to Compare Two Data Frames | 1.0.5 |
dataCompareR Compare Two Data Frames and Summarise the Difference | 0.1.4 |
datacutr SDTM Datacut | 0.2.0 |
datadictionary Create a Data Dictionary | 1.0.0 |
datadogr R Client for 'Datadog' API | 0.1.2 |
datadriftR Concept Drift Detection Methods for Stream Data | 0.0.1 |
DataEditR An Interactive Editor for Viewing, Entering, Filtering & Editing Data | 0.1.5 |
DataExplorer Automate Data Exploration and Treatment | 0.8.3 |
DataFakeR Generate Fake Data for Relational Databases | 0.1.3 |
dataframeexplorer Familiarity with Dataframes Before Data Manipulation | 1.0.2 |
datafsm Estimating Finite State Machine Models from Data | 0.2.4 |
datagovsgR Call Real Time APIs from Data Gov Singapore | 1.0.1 |
DataGraph Export Data from 'R' to 'DataGraph' | 1.2.14 |
DataLoader Import Multiple File Types | 1.3 |
dataMaid A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process | 1.4.1 |
dataMeta Create and Append a Data Dictionary for an R Dataset | 0.1.1 |
DataMetProcess Meteorological Data Processing | 1.0.3 |
datamods Modules to Import and Manipulate Data in 'Shiny' | 1.5.3 |
dataMojo Reshape Data Table | 1.0.0 |
datana Datasets and Functions to Accompany Analisis De Datos Con R | 1.0.5 |
datanugget Create, and Refine Data Nuggets | 1.3.1 |
dataonderivatives Easily Source Publicly Available Data on Derivatives | 0.4.0 |
dataone R Interface to the DataONE REST API | 2.2.2 |
datapack A Flexible Container to Transport and Manipulate Data and Associated Resources | 1.4.1 |
DataPackageR Construct Reproducible Analytic Data Sets as R Packages | 0.16.1 |
datapasta R Tools for Data Copy-Pasta | 3.1.0 |
dataprep Efficient and Flexible Data Preprocessing Tools | 0.1.5 |
dataPreparation Automated Data Preparation | 1.1.1 |
dataquieR Data Quality in Epidemiological Research | 2.1.0 |
datardis Data from the Doctor Who Series | 0.0.5 |
dataReporter Reproducible Data Screening Checks and Report of Possible Errors | 1.0.2 |
dataresqc C3S Quality Control Tools for Historical Climate Data | 1.1.1 |
dataRetrieval Retrieval Functions for USGS and EPA Hydrology and Water Quality Data | 2.7.17 |
datarium Data Bank for Statistical Analysis and Visualization | 0.1.0 |
datarobot 'DataRobot' Predictive Modeling API | 2.18.6 |
datasailr Row by Row Data Processing Tool, Using 'DataSailr' Script | 0.8.11 |
datasauRus Datasets from the Datasaurus Dozen | 0.1.8 |
dataSDA Data Sets for Symbolic Data Analysis | 0.1.0 |
dataseries Switzerland's Data Series in One Place | 0.2.0 |
datasetjson Read and Write CDISC Dataset JSON Files | 0.2.0 |
datasets | 4.4.2 |
datasets.load Graphical Interface for Loading Datasets | 2.3.0 |
datasetsICR Datasets from the Book "An Introduction to Clustering with R" | 1.0 |
DataSetsUni A Collection of Univariate Data Sets | 0.1 |
DataSpaceR Interface to 'the CAVD DataSpace' | 0.7.6 |
dataspice Create Lightweight Schema.org Descriptions of Data | 1.1.0 |
DatAssim Data Assimilation | 1.0 |
datastepr An Implementation of a SAS-Style Data Step | 0.0.2 |
DatastreamDSWS2R Provides a Link Between the 'LSEG Datastream' System and R | 1.9.10 |
DatastreamR Datastream API | 2.0.4 |
DATAstudio The Research Data Warehouse of Miguel de Carvalho | 1.1 |
DataSum Comprehensive Data Summarization for Statistical Analysis | 0.1.0 |
dataverifyr A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data | 0.1.8 |
dataverse Client for Dataverse 4+ Repositories | 0.3.14 |
DataVisualizations Visualizations of High-Dimensional Data | 1.3.2 |
DataViz Data Visualisation Using an HTML Page and 'D3.js' | 0.2.8 |
datawizard Easy Data Wrangling and Statistical Transformations | 0.13.0 |
datazoom.amazonia Simplify Access to Data from the Amazon Region | 1.1.0 |
date Functions for Handling Dates | 1.2-42 |
dateback Collect and Install R Packages on a Specified Date with Dependencies | 1.0.5 |
datefixR Standardize Dates in Different Formats or with Missing Data | 1.7.0 |
datelife Scientific Data on Time of Lineage Divergence for Your Taxa | 0.6.8 |
daterangepicker Create a Shiny Date-Range Input | 0.2.0 |
datetime Nominal Dates, Times, and Durations | 0.1.4 |
datetimeoffset Datetimes with Optional UTC Offsets and/or Heterogeneous Time Zones | 0.3.1 |
DateTimeRangePicker A Datetime Range Picker Widget for Usage in 'Shiny' Applications | 1.1.0 |
datetimeutils Utilities for Dates and Times | 0.6-4 |
datetoiso Modify Dates to ISO Standard ("International Organization for Standardization") | 0.2.0 |
dateutils Date Utils | 0.1.5 |
datoramar Interface to the 'Datorama' API | 0.1.0 |
datos Traduce al Español Varios Conjuntos de Datos de Práctica | 0.5.1 |
datplot Preparation of Object Dating Ranges for Density Plots (Aoristic Analysis) | 1.1.1 |
datr 'Dat' Protocol Interface | 0.1.0 |
datrProfile Column Profile for Tables and Datasets | 0.1.0 |
dauphin Compact Standard for Australian Phone Numbers | 0.3.2 |
Davies The Davies Quantile Function | 1.2-0 |
dawai Discriminant Analysis with Additional Information | 1.2.7 |
dawaR An API Wrapper for 'DAWA' - 'The Danish Address Web API' | 0.2.7 |
daymetr Interface to the 'Daymet' Web Services | 1.7.1 |
daySupply Calculating Days' Supply and Daily Dose of Prescriptions | 0.1.0 |
dbacf Autocovariance Estimation via Difference-Based Methods | 0.2.8 |
dbarts Discrete Bayesian Additive Regression Trees Sampler | 0.9-30 |
dbcsp Distance-Based Common Spatial Patterns | 0.0.2.1 |
dbd Discretised Beta Distribution | 0.0-22 |
DBEST Detecting Breakpoints and Estimating Segments in Trend | 1.8 |
DBfit A Double Bootstrap Method for Analyzing Linear Models with Autoregressive Errors | 2.0 |
dbflobr Read and Write Files to SQLite Databases | 0.2.2 |
dbGaPCheckup dbGaP Checkup | 1.1.0 |
dbglm Generalised Linear Models by Subsampling and One-Step Polishing | 1.0.0 |
DBHC Sequence Clustering with Discrete-Output HMMs | 0.0.3 |
dbhydroR 'DBHYDRO' Hydrologic and Water Quality Data | 0.2-8 |
DBI R Database Interface | 1.2.3 |
dblcens Compute the NPMLE of Distribution Function from Doubly Censored Data, Plus the Empirical Likelihood Ratio for F(T) | 1.1.9 |
dBlockmodeling Deterministic Blockmodeling of Signed, One-Mode and Two-Mode Networks | 0.2.3 |
dblr Discrete Boosting Logistic Regression | 0.1.0 |
dbMC Confidence Interval for Matrix Completion via De-Biased Estimator | 1.0.0 |
DBModelSelect Distribution-Based Model Selection | 0.2.0 |
dbmss Distance-Based Measures of Spatial Structures | 2.9-2 |
dbnlearn Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting | 0.1.0 |
DBNMFrank Rank Selection for Non-Negative Matrix Factorization | 0.1.0 |
dbnR Dynamic Bayesian Network Learning and Inference | 0.7.9 |
dbparser Drugs Databases Parser | 2.0.3 |
dbplot Simplifies Plotting Data Inside Databases | 0.3.3 |
dbplyr A 'dplyr' Back End for Databases | 2.5.0 |
DBpower Finite Sample Power Calculations for Detection Boundary Tests | 0.1.0 |
DBR Discrete Beta Regression | 1.4.1 |
dbscan Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms | 1.2-0 |
dbstats Distance-Based Statistics | 2.0.2 |
DBTC Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis | 0.1.0 |
DBTCShiny Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis 'shiny' Application | 0.1.2 |
dbw Doubly Robust Distribution Balancing Weighting Estimation | 1.1.4 |
dbWebForms Produce R Functions to Create HTML Forms Based on SQL Meta Data | 0.1.0 |
dbx A Fast, Easy-to-Use Database Interface | 0.3.2 |
dc3net Inferring Condition-Specific Networks via Differential Network Inference | 1.2.0 |
DCCA Detrended Fluctuation and Detrended Cross-Correlation Analysis | 0.1.1 |
DCchoice Analyzing Dichotomous Choice Contingent Valuation Data | 0.2.0 |
dccmidas DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal BEKK Models | 0.1.2 |
dccpp Fast Computation of Distance Correlations | 0.1.0 |
DCEM Clustering Big Data using Expectation Maximization Star (EM*) Algorithm | 2.0.5 |
DCEmgmt DCE Data Reshaping and Processing | 0.0.1 |
DCEtool Efficient and Accessible Discrete Choice Experiments | 1.1.0 |
DCG Data Cloud Geometry (DCG): Using Random Walks to Find Community Structure in Social Network Analysis | 0.9.3 |
DChaos Chaotic Time Series Analysis | 0.1-7 |
dChipIO Methods for Reading dChip Files | 0.1.5 |
dcifer Genetic Relatedness Between Polyclonal Infections | 1.2.1 |
DCL Claims Reserving under the Double Chain Ladder Model | 0.1.2 |
DCLEAR Distance Based Cell Lineage Reconstruction | 1.0.13 |
dclone Data Cloning and MCMC Tools for Maximum Likelihood Methods | 2.3-2 |
dclust Divisive Hierarchical Clustering | 0.1.0 |
DCluster Functions for the Detection of Spatial Clusters of Diseases | 0.2-10 |
DClusterm Model-Based Detection of Disease Clusters | 1.0-1 |
dcm2 Calculating the M2 Model Fit Statistic for Diagnostic Classification Models | 1.0.2 |
dcmle Hierarchical Models Made Easy with Data Cloning | 0.4-1 |
dcmodify Modify Data Using Externally Defined Modification Rules | 0.9.0 |
DCODE List Linear n-Peptide Constraints for Overlapping Protein Regions | 1.0 |
dcortools Providing Fast and Flexible Functions for Distance Correlation Analysis | 0.1.6 |
dcorVS Variable Selection Algorithms Using the Distance Correlation | 1.1 |
dcov A Fast Implementation of Distance Covariance | 0.1.1 |
dCovTS Distance Covariance and Correlation for Time Series Analysis | 1.4 |
DCPO Dynamic Comparative Public Opinion | 0.5.3 |
DCSmooth Nonparametric Regression and Bandwidth Selection for Spatial Models | 1.1.2 |
dcTensor Discrete Matrix/Tensor Decomposition | 1.3.0 |
dCUR Dimension Reduction with Dynamic CUR | 1.0.1 |
dcurver Utility Functions for Davidian Curves | 0.9.2 |
dcurves Decision Curve Analysis for Model Evaluation | 0.5.0 |
ddalpha Depth-Based Classification and Calculation of Data Depth | 1.3.16 |
ddc Distance Density Clustering Algorithm | 1.0.1 |
DDD Diversity-Dependent Diversification | 5.2.2 |
dde Solve Delay Differential Equations | 1.0.7 |
ddecompose Detailed Distributional Decomposition | 1.0.0 |
DDHFm Variance Stabilization by Data-Driven Haar-Fisz (for Microarrays) | 1.1.4 |
ddi The Data Defect Index for Samples that May not be IID | 0.1.0 |
ddiv Data Driven I-v Feature Extraction | 0.1.1 |
DDIwR DDI with R | 0.19 |
DDL Doubly Debiased Lasso (DDL) | 1.0.2 |
DDM Death Registration Coverage Estimation | 1.0-0 |
ddml Double/Debiased Machine Learning | 0.3.0 |
DDoutlier Distance & Density-Based Outlier Detection | 0.1.0 |
ddp Desirable Dietary Pattern | 0.0.3 |
ddpca Diagonally Dominant Principal Component Analysis | 1.1 |
ddpcr Analysis and Visualization of Droplet Digital PCR in R and on the Web | 1.15.2 |
ddplot Create D3 Based SVG Graphics | 0.0.1 |
DDPM Data Sets for Discrete Probability Models | 0.1.0 |
DDPNA Disease-Drived Differential Proteins Co-Expression Network Analysis | 0.3.3 |
DDRTree Learning Principal Graphs with DDRTree | 0.1.5 |
ddsPLS Data-Driven Sparse Partial Least Squares | 1.2.1 |
ddst Data Driven Smooth Tests | 1.4 |
ddtlcm Latent Class Analysis with Dirichlet Diffusion Tree Process Prior | 0.2.1 |
deadband Statistical Deadband Algorithms Comparison | 0.1.0 |
deal Learning Bayesian Networks with Mixed Variables | 1.2-42 |
deaR Conventional and Fuzzy Data Envelopment Analysis | 1.4.1 |
debar A Post-Clustering Denoiser for COI-5P Barcode Data | 0.1.1 |
DEBBI Differential Evolution-Based Bayesian Inference | 0.1.0 |
debest Duration Estimation for Biomarker Enrichment Studies and Trials | 0.1.0 |
DebiasInfer Efficient Inference on High-Dimensional Linear Model with Missing Outcomes | 0.2 |
deBif Bifurcation Analysis of Ordinary Differential Equation Systems | 0.1.8 |
deBInfer Bayesian Inference for Differential Equations | 0.4.4 |
debkeepr Analysis of Non-Decimal Currencies and Double-Entry Bookkeeping | 0.1.1 |
DeBoinR Box-Plots and Outlier Detection for Probability Density Functions | 1.0 |
debugme Debug R Packages | 1.2.0 |
debugr Debug Tool to Watch Objects/Expressions While Running an R Script | 0.0.1 |
DeCAFS Detecting Changes in Autocorrelated and Fluctuating Signals | 3.3.3 |
DECIDE DEComposition of Indirect and Direct Effects | 1.3 |
decido Bindings for 'Mapbox' Ear Cutting Triangulation Library | 0.3.0 |
DECIPHER | 3.2.0 |
decision Statistical Decision Analysis | 0.1.0 |
decisionSupport Quantitative Support of Decision Making under Uncertainty | 1.114 |
deckgl An R Interface to 'deck.gl' | 0.3.0 |
declared Functions for Declared Missing Values | 0.25 |
DeclareDesign Declare and Diagnose Research Designs | 1.0.10 |
decode Differential Co-Expression and Differential Expression Analysis | 1.2 |
decoder Decode Coded Variables to Plain Text and the Other Way Around | 1.2.2 |
decompDL Decomposition Based Deep Learning Models for Time Series Forecasting | 0.1.0 |
decomposedPSF Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD) | 0.2 |
DecomposeR Empirical Mode Decomposition for Cyclostratigraphy | 1.0.6 |
decompr Global Value Chain Decomposition | 6.4.0 |
decon Deconvolution Estimation in Measurement Error Models | 1.3-4 |
deconstructSigs Identifies Signatures Present in a Tumor Sample | 1.8.0 |
deconvolveR Empirical Bayes Estimation Strategies | 1.2-1 |
DecorateR Fit and Deploy DECORATE Trees | 0.1.2 |
decorators Extend the Behaviour of a Function without Explicitly Modifying it | 0.3.0 |
decp Complete Change Point Analysis | 0.1.2 |
Deducer A Data Analysis GUI for R | 0.7-9 |
deducorrect Deductive Correction, Deductive Imputation, and Deterministic Correction | 1.3.7 |
deductive Data Correction and Imputation Using Deductive Methods | 1.0.0 |
DeductiveR Deductive Rational Method | 1.0.0 |
deduped Making "Deduplicated" Functions | 0.2.0 |
dedupewider Deduplication Across Multiple Columns | 0.1.0 |
deep A Neural Networks Framework | 0.1.0 |
deepdep Visualise and Explore the Deep Dependencies of R Packages | 0.4.3 |
deepdive Deep Learning for General Purpose | 1.0.4 |
deepgmm Deep Gaussian Mixture Models | 0.2.1 |
deepgp Bayesian Deep Gaussian Processes using MCMC | 1.1.3 |
DeepLearningCausal Causal Inference with Super Learner and Deep Neural Networks | 0.0.104 |
deeplr Interface to the 'DeepL' Translation API | 2.0.1 |
deepMOU Clustering of Short Texts by Mixture of Unigrams and Its Deep Extensions | 0.1.1 |
deepnet Deep Learning Toolkit in R | 0.2.1 |
deepNN Deep Learning | 1.2 |
deepredeff Deep Learning Prediction of Effectors | 0.1.1 |
deepregression Fitting Deep Distributional Regression | 2.2.0 |
deepRstudio Seamless Language Translation in 'RStudio' using 'DeepL' API and 'Rstudioapi' | 0.0.9 |
deeptime Plotting Tools for Anyone Working in Deep Time | 2.1.0 |
deeptimedata Geologic Pattern Data from FGDC Used in 'deeptime' | 1.0.0 |
DEET Differential Expression Enrichment Tool | 1.0.12 |
DEEVD Density Estimation by Extreme Value Distributions | 1.2.3 |
default Change the Default Arguments in R Functions | 1.0.0 |
defineOptions Define and Parse Command Line Options | 0.9 |
defineR Creates Define XML Documents | 0.0.4 |
deFit Fitting Differential Equations to Time Series Data | 0.3.0 |
deflateBR Deflate Nominal Brazilian Reais | 1.1.2 |
deflist Deferred List - A Read-Only List-Like Object with Deferred Access | 0.2.0 |
deforestable Classify RGB Images into Forest or Non-Forest | 3.1.1 |
deform Spatial Deformation and Dimension Expansion Gaussian Processes | 1.0.0 |
deformula Integration of One-Dimensional Functions with Double Exponential Formulas | 0.1.2 |
degday Compute Degree Days | 0.4.0 |
DEGRE Inferring Differentially Expressed Genes using Generalized Linear Mixed Models | 0.2.0 |
degreenet Models for Skewed Count Distributions Relevant to Networks | 1.3-6 |
degross Density Estimation from GROuped Summary Statistics | 0.9.0 |
DEHOGT Differentially Expressed Heterogeneous Overdispersion Gene Test for Count Data | 0.99.0 |
deident Persistent Data Anonymization Pipeline | 1.0.0 |
dejaVu Multiple Imputation for Recurrent Events | 0.3.1 |
Delaporte Statistical Functions for the Delaporte Distribution | 8.4.1 |
delayed A Framework for Parallelizing Dependent Tasks | 0.5.0 |
DelayedArray | 0.32.0 |
DelayedEffect.Design Sample Size and Power Calculations using the APPLE, SEPPLE, APPLE+ and SEPPLE+ Methods | 1.1.3 |
DelayedMatrixStats | 1.28.0 |
deldir Delaunay Triangulation and Dirichlet (Voronoi) Tessellation | 2.0-4 |
Delta Measure of Agreement Between Two Raters | 0.2.0.3 |
deltaccd Quantify Rhythmic Gene Co-Expression Relative to a Reference | 1.0.2 |
DeltaMAN Delta Measurement of Agreement for Nominal Data | 0.5.0 |
deltaPlotR Identification of Dichotomous Differential Item Functioning (DIF) using Angoff's Delta Plot Method | 1.6 |
DELTD Kernel Density Estimation using Lifetime Distributions | 2.6.8 |
DEM The Distributed EM Algorithms in Multivariate Gaussian Mixture Models | 0.0.0.2 |
dematel Decision Making Trial and Evaluation Laboratory Technique in R | 0.1.0 |
demic Dynamic Estimator of Microbial Communities | 2.0.0 |
deming Deming, Theil-Sen, Passing-Bablock and Total Least Squares Regression | 1.4-1 |
DemoDecomp Decompose Demographic Functions | 1.14.1 |
demodelr Simulating Differential Equations with Data | 1.0.1 |
demogR Analysis of Age-Structured Demographic Models | 0.6.0 |
DemografixeR Extrapolate Gender, Age and Nationality of a Name | 0.1.1 |
demoGraphic Providing Demographic Table with the P-Value, Standardized Mean Difference Value | 0.1.0 |
DemographicTable Creating Demographic Table | 0.1.9 |
demography Forecasting Mortality, Fertility, Migration and Population Data | 2.0 |
demoKde Kernel Density Estimation for Demonstration Purposes | 1.0.1 |
DemoKin Estimate Population Kin Distribution | 1.0.3 |
demoShiny Runs a 'Shiny' App as Demo or Lists All Demo 'Shiny' Apps | 0.1 |
DEMOVA DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated using Test Set | 1.0 |
demu Optimal Design Emulators via Point Processes | 0.3.0 |
dendextend Extending 'dendrogram' Functionality in R | 1.19.0 |
dendRoAnalyst A Tool for Processing and Analyzing Dendrometer Data | 0.1.5 |
dendroextras Extra Functions to Cut, Label and Colour Dendrogram Clusters | 0.2.3 |
dendrometeR Analyzing Dendrometer Data | 1.1.0 |
dendrometry Forest Estimations and Dendrometric Computations | 0.0.2 |
dendroNetwork Create Networks of Dendrochronological Series using Pairwise Similarity | 0.5.4 |
DendroSync A Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies | 0.1.4 |
dendroTools Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data | 1.2.13 |
DendSer Dendrogram Seriation: Ordering for Visualisation | 1.0.2 |
dendsort Modular Leaf Ordering Methods for Dendrogram Nodes | 0.3.4 |
denguedatahub A Tidy Format Datasets of Dengue by Country | 2.1.1 |
denim Generate and Simulate Deterministic Discrete-Time Compartmental Models | 1.0.0 |
denoiSeq Differential Expression Analysis Using a Bottom-Up Model | 0.1.1 |
denoiseR Regularized Low Rank Matrix Estimation | 1.0.2 |
denovolyzeR Statistical Analyses of De Novo Genetic Variants | 0.2.0 |
denseFLMM Functional Linear Mixed Models for Densely Sampled Data | 0.1.2 |
densEstBayes Density Estimation via Bayesian Inference Engines | 1.0-2.2 |
densitr Analysing Density Profiles from Resistance Drilling of Trees | 0.2 |
densityarea Polygons of Bivariate Density Distributions | 0.1.0 |
densityClust Clustering by Fast Search and Find of Density Peaks | 0.3.3 |
DensParcorr Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks | 1.1 |
densratio Density Ratio Estimation | 0.2.1 |
denstrip Density Strips and Other Methods for Compactly Illustrating Distributions | 1.5.4 |
denvax Simple Dengue Test and Vaccinate Cost Thresholds | 0.1.2 |
DEoptim Global Optimization by Differential Evolution | 2.2-8 |
DEoptimR Differential Evolution Optimization in Pure R | 1.1-3-1 |
depcache Cache R Expressions, Taking Their Dependencies into Account | 0.1-2 |
DepCens Dependent Censoring Regression Models | 0.2.3 |
depCensoring Statistical Methods for Survival Data with Dependent Censoring | 0.1.5 |
depcoeff Dependency Coefficients | 0.0.1 |
depend.truncation Statistical Methods for the Analysis of Dependently Truncated Data | 3.0 |
depigner A Utility Package to Help you Deal with "Pignas" | 0.9.1 |
DepLogo Dependency Logo | 1.2.1 |
DEploid Deconvolute Mixed Genomes with Unknown Proportions | 0.5.4 |
depmix Dependent Mixture Models | 0.9.16 |
depmixS4 Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4 | 1.5-0 |
DEPONS2R Read, Plot and Analyse Output from the DEPONS Model | 1.2.4 |
deps Dependency Management with 'roxygen'-Style Comments | 0.4.0 |
depth.plot Multivariate Analogy of Quantiles | 0.1 |
DepthProc Statistical Depth Functions for Multivariate Analysis | 2.1.5 |
depthTools Depth Tools Package | 0.7 |
DeRezende.Ferreira Zero Coupon Yield Curve Modelling | 0.1.0 |
Deriv Symbolic Differentiation | 4.1.6 |
derivmkts Functions and R Code to Accompany Derivatives Markets | 0.2.5 |
DES Discrete Event Simulation | 1.0.0 |
desc Manipulate DESCRIPTION Files | 1.4.3 |
descomponer Seasonal Adjustment by Frequency Analysis | 1.6 |
descr Descriptive Statistics | 1.1.8 |
describedata Miscellaneous Descriptive Functions | 0.1.0 |
DescribeDF Description of a Data Frame | 0.2.1 |
DescribeDisplay An Interface to the 'DescribeDisplay' 'GGobi' Plugin | 0.2.11 |
describer Describe Data in R Using Common Descriptive Statistics | 0.2.0 |
descriptio Descriptive Statistical Analysis | 1.3 |
DescriptiveRepresentationCalculator Descriptive Representation Calculator: Characterizing Observed and Expected Representation | 1.0.0 |
DescriptiveStats.OBeu Descriptive Statistics 'OpenBudgets.eu' | 1.3.2 |
DescriptiveWH Descriptive Statistics | 1.0.3 |
descriptr Generate Descriptive Statistics | 0.6.0 |
DescrTab2 Publication Quality Descriptive Statistics Tables | 2.1.16 |
descstat Tools for Descriptive Statistics | 0.1-2 |
descstatsr Descriptive Univariate Statistics | 0.1.0 |
desctable Produce Descriptive and Comparative Tables Easily | 0.3.0 |
DescTools Tools for Descriptive Statistics | 0.99.58 |
DescToolsAddIns Interactive Functions to be Used as Shortcuts in 'RStudio' | 1.12 |
deseats Data-Driven Locally Weighted Regression for Trend and Seasonality in TS | 1.1.0 |
DESeq2 | 1.46.0 |
Design.parameters Parameters of the Experimental Designs | 0.1.0 |
DesignCTPB Design Clinical Trials with Potential Biomarker Effect | 1.1.3 |
designer 'Shiny' UI Prototype Builder | 0.3.0 |
designit Blocking and Randomization for Experimental Design | 0.5.0 |
DesignLibrary Library of Research Designs | 0.1.10 |
designmatch Matched Samples that are Balanced and Representative by Design | 0.5.4 |
designr Balanced Factorial Designs | 0.1.13 |
designsize Sample Size Calculation of Various Study Designs | 0.1.0 |
desiR Desirability Functions for Ranking, Selecting, and Integrating Data | 1.2.2 |
desirability Function Optimization and Ranking via Desirability Functions | 2.1 |
desirability2 Desirability Functions for Multiparameter Optimization | 0.0.1 |
desk Didactic Econometrics Starter Kit | 1.1.1 |
desla Desparsified Lasso Inference for Time Series | 0.3.0 |
deSolve Solvers for Initial Value Problems of Differential Equations ('ODE', 'DAE', 'DDE') | 1.40 |
despair Motivational Quotes and Shakespearean Bard–bits for Personal Projects | 0.1.1 |
desplot Plotting Field Plans for Agricultural Experiments | 1.10 |
details Create Details HTML Tag for Markdown and Package Documentation | 0.3.0 |
detect Analyzing Wildlife Data with Detection Error | 0.4-6 |
detectnorm Detect Nonnormality in Meta-Analysis without Raw Data | 1.0.0 |
detector Detect Data Containing Personally Identifiable Information | 0.1.0 |
detectors Prediction Data from GPT Detectors | 0.1.0 |
detectR Change Point Detection | 0.3.0 |
detectRUNS Detect Runs of Homozygosity and Runs of Heterozygosity in Diploid Genomes | 0.9.6 |
detectseparation Detect and Check for Separation and Infinite Maximum Likelihood Estimates | 0.3 |
DetLifeInsurance Life Insurance Premium and Reserves Valuation | 0.1.3 |
DetMCD Implementation of the DetMCD Algorithm (Robust and Deterministic Estimation of Location and Scatter) | 0.0.5 |
detourr Portable and Performant Tour Animations | 0.1.0 |
detpack Density Estimation and Random Number Generation with Distribution Element Trees | 1.1.3 |
DetR Suite of Deterministic and Robust Algorithms for Linear Regression | 0.0.5 |
detrendeR A Graphical User Interface (GUI) to Visualize and Analyze Dendrochronological Data | 1.0.5 |
detrendr Detrend Images | 0.6.15 |
deTS Tissue-Specific Enrichment Analysis | 1.0 |
detzrcr Compare Detrital Zircon Suites | 0.3.1 |
devEMF EMF Graphics Output Device | 4.5 |
devFunc Clear and Condense Argument Check for User-Defined Functions | 0.1 |
devoid A Graphic Device that Does Nothing | 0.1.2 |
Devore7 Data sets from Devore's "Prob and Stat for Eng (7th ed)" | 0.7.6 |
devRate Quantify the Relationship Between Development Rate and Temperature in Ectotherms | 0.2.4 |
devtools Tools to Make Developing R Packages Easier | 2.4.5 |
DevTreatRules Develop Treatment Rules with Observational Data | 1.1.0 |
DEXiR 'DEXi' Library | 1.0.2 |
dexisensitivity 'DEXi' Decision Tree Analysis and Visualization | 1.0.1 |
dexter Data Management and Analysis of Tests | 1.5.0 |
dextergui A Graphical User Interface for Dexter | 0.2.6 |
dexterMST CML and Bayesian Calibration of Multistage Tests | 0.9.6 |
df2yaml Convert Dataframe to 'YAML' | 0.3.1 |
DFA Detrended Fluctuation Analysis | 1.0.0 |
DFA.CANCOR Linear Discriminant Function and Canonical Correlation Analysis | 0.3.6 |
dfadjust Degrees of Freedom Adjustment for Robust Standard Errors | 1.0.5 |
DFBA Distribution-Free Bayesian Analysis | 0.1.0 |
dfcomb Phase I/II Adaptive Dose-Finding Design for Combination Studies | 3.1-4 |
dfCompare Compare Two Dataframes and Return Adds, Changes, and Deletes | 1.0.0 |
dfcrm Dose-Finding by the Continual Reassessment Method | 0.2-2.1 |
DFD Extract Drugs from Differential Expression Data from LINCS Database | 0.2.0 |
dfdr Automatic Differentiation of Simple Functions | 0.2.0 |
dfexpand Automatically Expand Delimited Column Values into Multiple Binary Columns with 'dfexpand' | 0.0.2 |
dfidx Indexed Data Frames | 0.1-0 |
DFIT Differential Functioning of Items and Tests | 1.1 |
dfmeta Meta-Analysis of Phase I Dose-Finding Early Clinical Trials | 1.0.0 |
dfmirroR Simulate a Data Frame Mirroring an Input and Produce Shareable Simulation Code | 2.1.0 |
dfms Dynamic Factor Models | 0.2.2 |
dfmta Phase I/II Adaptive Dose-Finding Design for MTA | 1.7-6 |
dfoliatR Detection and Analysis of Insect Defoliation Signals in Tree Rings | 0.3.0 |
dfoptim Derivative-Free Optimization | 2023.1.0 |
Dforest Decision Forest | 0.4.2 |
dformula Data Manipulation using Formula | 1.0 |
dfped Extrapolation and Bridging of Adult Information in Early Phase Dose-Finding Paediatrics Studies | 1.1 |
dfphase1 Phase I Control Charts (with Emphasis on Distribution-Free Methods) | 1.2.0 |
dfr Dual Feature Reduction for SGL | 0.1.2 |
dfrr Dichotomized Functional Response Regression | 0.1.5 |
dfsaneacc Accelerated Derivative-Free Method for Large-Scale Nonlinear Systems of Equations | 1.0.3 |
dfvad Diewert and Fox's Method of Value Added Growth Decomposition | 0.3.6 |
dga Capture-Recapture Estimation using Bayesian Model Averaging | 2.0.1 |
dGAselID Genetic Algorithm with Incomplete Dominance for Feature Selection | 1.2 |
DGEAR Differential Gene Expression Analysis with R | 0.1.4 |
DGEobj Differential Gene Expression (DGE) Analysis Results Data Object | 1.1.2 |
DGEobj.utils Differential Gene Expression (DGE) Analysis Utility Toolkit | 1.0.6 |
dggridR Discrete Global Grids | 3.1.0 |
dglars Differential Geometric Least Angle Regression | 2.1.7 |
dglm Double Generalized Linear Models | 1.8.6 |
DGLMExtPois Double Generalized Linear Models Extending Poisson Regression | 0.2.3 |
DGM Dynamic Graphical Models | 1.7.4 |
dgof Discrete Goodness-of-Fit Tests | 1.5.1 |
DGP4LCF Dependent Gaussian Processes for Longitudinal Correlated Factors | 1.0.0 |
dgpsi Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations | 2.5.0 |
dgumbel The Gumbel Distribution Functions and Gradients | 1.0.1 |
DHARMa Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models | 0.4.7 |
DHBins Hexmaps for NZ District Health Boards | 1.1 |
dhga Differential Hub Gene Analysis | 0.1 |
dhglm Double Hierarchical Generalized Linear Models | 2.0 |
dhh A Heavy-Headed Distribution | 0.0.1 |
dhis2r Client for the 'DHIS2' Web API | 0.3.0 |
dhlabR National Library of Norway Quantitative Text Data API Tools | 1.0.6 |
DHS.rates Calculates Demographic Indicators | 0.9.2 |
dhsage Reproductive Age Female Data of Various Demographic Health Surveys | 0.1.0 |
dHSIC Independence Testing via Hilbert Schmidt Independence Criterion | 2.1 |
di Deficit Index (DI) | 1.1.4 |
diagis Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling | 0.2.3 |
diagL1 Routines for Fit, Inference and Diagnostics in Linear L1 and LAD Models | 1.0.0 |
diagmeta Meta-Analysis of Diagnostic Accuracy Studies with Several Cutpoints | 0.5-1 |
DiagnosisMed Diagnostic test accuracy evaluation for medical professionals. | 0.2.3 |
diagonals Block Diagonal Extraction or Replacement | 6.4.0 |
diagram Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams | 1.6.5 |
DiagrammeR Graph/Network Visualization | 1.0.11 |
DiagrammeRsvg Export DiagrammeR Graphviz Graphs as SVG | 0.1 |
DiallelAnalysisR Diallel Analysis with R | 0.6.0 |
dialr Parse, Format, and Validate International Phone Numbers | 0.4.2 |
dialrjars Required 'libphonenumber' jars for the 'dialr' Package | 8.13.36 |
dials Tools for Creating Tuning Parameter Values | 1.3.0 |
diaplt Beads Summary Plot of Ranges | 1.4.0 |
diathor Calculate Ecological Information and Diatom Based Indices | 0.1.4 |
dibble Dimensional Data Frames | 0.3.0 |
dice Calculate probabilities of various dice-rolling events | 1.2 |
DiceDesign Designs of Computer Experiments | 1.10 |
DiceEval Construction and Evaluation of Metamodels | 1.6.1 |
DiceKriging Kriging Methods for Computer Experiments | 1.6.0 |
DICEM Directness and Intensity of Conflict Expression | 0.1.0 |
DiceOptim Kriging-Based Optimization for Computer Experiments | 2.1.1 |
diceplot High Dimensional Categorical Data Visualization | 0.1.4 |
diceR Diverse Cluster Ensemble in R | 2.2.0 |
DiceView Methods for Visualization of Computer Experiments Design and Surrogate | 3.1-0 |
dichromat Color Schemes for Dichromats | 2.0-0.1 |
DICOMread Reading and Saving DICOM Image Files | 0.0.0.3 |
DIconvex Finding Patterns of Monotonicity and Convexity in Data | 1.0.0 |
Dict R6 Based Key-Value Dictionary Implementation | 0.1.0 |
dictionar6 R6 Dictionary Interface | 0.1.3 |
dictionaRy Retrieve the Dictionary Definitions of English Words | 0.1.1 |
did Treatment Effects with Multiple Periods and Groups | 2.1.2 |
did2s Two-Stage Difference-in-Differences Following Gardner (2021) | 1.0.2 |
DidacticBoost A Simple Implementation and Demonstration of Gradient Boosting | 0.1.1 |
didec Directed Dependence Coefficient | 0.1.0 |
Diderot Bibliographic Network Analysis | 0.13 |
DiDforBigData A Big Data Implementation of Difference-in-Differences Estimation with Staggered Treatment | 1.0 |
DIDHAD Difference-in-Differences in Heterogeneous Adoption Designs with Quasi Stayers | 1.0.1 |
didimputation Imputation Estimator from Borusyak, Jaravel, and Spiess (2021) | 0.3.0 |
DIDmultiplegt Estimators DID with Multiple Groups and Periods | 2.0.0 |
DIDmultiplegtDYN Estimation in Difference-in-Difference Designs with Multiple Groups and Periods | 2.0.0 |
didrooRFM Compute Recency Frequency Monetary Scores for your Customer Data | 1.0.0 |
diemr Diagnostic Index Expectation Maximisation in R | 1.4.2 |
dietr Diet Estimated Trophic Levels | 1.1.5-1 |
diezeit R Interface to the ZEIT ONLINE Content API | 0.1-0 |
DIFboost Detection of Differential Item Functioning (DIF) in Rasch Models by Boosting Techniques | 0.3 |
difconet Differential Coexpressed Networks | 1.0-4 |
diffcoexp | 1.26.0 |
diffcor Fisher's z-Tests Concerning Differences Between Correlations | 0.8.4 |
DiffCorr Analyzing and Visualizing Differential Correlation Networks in Biological Data | 0.4.4 |
diffdf Dataframe Difference Tool | 1.1.1 |
diffdfs Compute the Difference Between Data Frames | 0.9.0 |
diffee Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure | 1.1.0 |
diffEnrich Given a List of Gene Symbols, Performs Differential Enrichment Analysis | 0.1.2 |
diffeqr Solving Differential Equations (ODEs, SDEs, DDEs, DAEs) | 2.1.0 |
diffeR Metrics of Difference for Comparing Pairs of Maps or Pairs of Variables | 0.0-8 |
diffeRenTES Computation of TES-Based Cell Differentiation Trees | 0.3.2 |
diffIRT Diffusion IRT Models for Response and Response Time Data | 1.5 |
diffmatchpatch String Diff, Match, and Patch Utilities | 0.1.0 |
DiffNet Identifying Significant Node Scores using Network Diffusion Algorithm | 1.0.2 |
diffobj Diffs for R Objects | 0.3.5 |
diffpriv Easy Differential Privacy | 0.4.2 |
diffr Display Differences Between Two Files using Codediff Library | 0.1 |
diffudist Diffusion Distance for Complex Networks | 1.0.1 |
diffusion Forecast the Diffusion of New Products | 0.4.0 |
diffusionMap Diffusion Map | 1.2.0 |
diffval Vegetation Patterns | 1.1.0 |
diffviewer HTML Widget to Show File Differences | 0.1.2 |
DiffXTables Pattern Analysis Across Contingency Tables | 0.1.3 |
DIFlasso A Penalty Approach to Differential Item Functioning in Rasch Models | 1.0-4 |
DIFM Dynamic ICAR Spatiotemporal Factor Models | 1.0 |
difNLR DIF and DDF Detection by Non-Linear Regression Models | 1.4.2-1 |
DIFplus Multilevel Mantel-Haenszel Statistics for Differential Item Functioning Detection | 1.1 |
difR Collection of Methods to Detect Dichotomous Differential Item Functioning (DIF) | 5.1 |
DIFshiny Differential Item Functioning via Shiny Application | 0.1.0 |
DIFtree Item Focussed Trees for the Identification of Items in Differential Item Functioning | 3.1.6 |
digest Create Compact Hash Digests of R Objects | 0.6.37 |
digiRhythm Analyzing Animal's Rhythmicity | 2.3 |
digitalDLSorteR Deconvolution of Bulk RNA-Seq Data Based on Deep Learning | 1.1.0 |
digitalPCR Estimate Copy Number for Digital PCR | 1.1.0 |
digitize Use Data from Published Plots in R | 0.0.4 |
digitTests Tests for Detecting Irregular Digit Patterns | 0.1.2 |
DIGSS Determination of Intervals Using Georeferenced Survey Simulation | 1.0.2 |
dilp Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy | 1.1.0 |
DIME Differential Identification using Mixture Ensemble | 1.3.0 |
dimensio Multivariate Data Analysis | 0.10.1 |
dimensionsR Gathering Bibliographic Records from 'Digital Science Dimensions' Using 'DSL' API | 0.0.3 |
DImodels Diversity-Interactions (DI) Models | 1.3.2 |
DImodelsMulti Fit Multivariate Diversity-Interactions Models with Repeated Measures | 1.1.1 |
DImodelsVis Visualising and Interpreting Statistical Models Fit to Compositional Data | 1.0.1 |
DIMORA Diffusion Models R Analysis | 0.3.6 |
dimRed A Framework for Dimensionality Reduction | 0.2.6 |
dina Bayesian Estimation of DINA Model | 2.0.0 |
dinamic A Method to Analyze Recurrent DNA Copy Number Aberrations in Tumors | 1.0.1 |
DiNAMIC.Duo Finding Recurrent DNA Copy Number Alterations and Differences | 1.0.2 |
dineq Decomposition of (Income) Inequality | 0.1.0 |
dineR Differential Network Estimation in R | 1.0.1 |
dint A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates | 2.1.5 |
DiPALM Differential Pattern Analysis via Linear Modeling | 1.2 |
DiPhiSeq Robust Tests for Differential Dispersion and Differential Expression in RNA-Sequencing Data | 0.2.0 |
dipm Depth Importance in Precision Medicine (DIPM) Method | 1.9 |
diproperm Conduct Direction-Projection-Permutation Tests and Display Plots | 0.2.0 |
DiPs Directional Penalties for Optimal Matching in Observational Studies | 0.6.4 |
dipsaus A Dipping Sauce for Data Analysis and Visualizations | 0.2.9 |
diptest Hartigan's Dip Test Statistic for Unimodality - Corrected | 0.77-1 |
dipw Debiased Inverse Propensity Score Weighting | 0.1.0 |
Dire Linear Regressions with a Latent Outcome Variable | 2.2.0 |
DIRECT Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior | 1.1.0 |
DirectedClustering Directed Weighted Clustering Coefficient | 1.0.0 |
DirectEffects Estimating Controlled Direct Effects for Explaining Causal Findings | 0.3 |
Directional A Collection of Functions for Directional Data Analysis | 7.0 |
directlabels Direct Labels for Multicolor Plots | 2024.1.21 |
directotree Creates an Interactive Tree Structure of a Directory | 1.0.0 |
directPA Direction Analysis for Pathways and Kinases | 1.5.1 |
DirectStandardisation Adjusted Means and Proportions by Direct Standardisation | 1.3 |
dirichletprocess Build Dirichlet Process Objects for Bayesian Modelling | 0.4.2 |
DirichletReg Dirichlet Regression | 0.7-1 |
dirmcmc Directional Metropolis Hastings Algorithm | 1.3.3 |
dirmult Estimation in Dirichlet-Multinomial Distribution | 0.1.3-5 |
DirStats Nonparametric Methods for Directional Data | 0.1.10 |
dirttee Distributional Regression for Time to Event Data | 1.0.2 |
disaggR Two-Steps Benchmarks for Time Series Disaggregation | 1.0.5.3 |
DisaggregateTS High-Dimensional Temporal Disaggregation | 3.0.1 |
disaggregation Disaggregation Modelling | 0.4.0 |
disastr.api Wrapper for the UN OCHA ReliefWeb Disaster Events API | 1.0.6 |
disbayes Bayesian Multi-State Modelling of Chronic Disease Burden Data | 1.1.0 |
discAUC Linear and Non-Linear AUC for Discounting Data | 1.0.3 |
DIscBIO A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics | 1.2.2 |
discFA Discrete Factor Analysis | 1.0.1 |
discfrail Cox Models for Time-to-Event Data with Nonparametric Discrete Group-Specific Frailties | 0.1 |
discharge Fourier Analysis of Discharge Data | 1.0.0 |
disclap Discrete Laplace Exponential Family | 1.5.1 |
disclapmix Discrete Laplace Mixture Inference using the EM Algorithm | 1.7.4 |
disclapmix2 Mixtures of Discrete Laplace Distributions using Numerical Optimisation | 0.6.1 |
disclosuR Text Conversion from Nexis Uni PDFs to R Data Frames | 0.6.0 |
discnorm Test for Discretized Normality in Ordinal Data | 0.2.1 |
discord Functions for Discordant Kinship Modeling | 1.1.0 |
DiSCos Distributional Synthetic Controls Estimation | 0.1.1 |
discourseGT Analyze Group Patterns using Graph Theory in Educational Settings | 1.2.0 |
discoveR Exploratory Data Analysis System | 3.1.2 |
discoverableresearch Checks Title, Abstract and Keywords to Optimise Discoverability | 0.0.1 |
DiscreteDatasets Example Data Sets for Use with Discrete Statistical Tests | 0.1.1 |
DiscreteDists Discrete Statistical Distributions | 1.0.0 |
DiscreteFDR FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests | 2.1.0 |
discretefit Simulated Goodness-of-Fit Tests for Discrete Distributions | 0.1.2 |
DiscreteGapStatistic An Extension of the Gap Statistic for Ordinal/Categorical Data | 1.0.0 |
DiscreteInverseWeibull Discrete Inverse Weibull Distribution | 1.0.2 |
DiscreteLaplace Discrete Laplace Distributions | 1.1.1 |
DiscreteQvalue Improved q-Values for Discrete Uniform and Homogeneous Tests | 1.1 |
DiscreteTests Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests | 0.2.1 |
DiscreteWeibull Discrete Weibull Distributions (Type 1 and 3) | 1.1 |
discretization Data Preprocessing, Discretization for Classification | 1.0-1.1 |
discrim Model Wrappers for Discriminant Analysis | 1.0.1 |
DiscriMiner Tools of the Trade for Discriminant Analysis | 0.1-29 |
discrtr A Companion Package for the Book "Discrete Choice Analysis with 'R'" | 0.0.1 |
discSurv Discrete Time Survival Analysis | 2.0.0 |
discursive Measuring Discursive Sophistication in Open-Ended Survey Responses | 0.1.1 |
disdat Data for Comparing Species Distribution Modeling Methods | 1.0-1 |
diseasemapping Modelling Spatial Variation in Disease Risk for Areal Data | 2.0.6 |
diseasystore Feature Stores for the 'diseasy' Framework | 0.3.0 |
DisHet Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor Samples | 1.0.0 |
DisimForMixed Calculate Dissimilarity Matrix for Dataset with Mixed Attributes | 0.2 |
DisImpact Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups | 0.0.21 |
disk.frame Larger-than-RAM Disk-Based Data Manipulation Framework | 0.8.3 |
dismo Species Distribution Modeling | 1.3-16 |
disordR Non-Ordered Vectors | 0.9-8-4 |
disparityfilter Disparity Filter Algorithm for Weighted Networks | 2.2.3 |
dispeRse Simulation of Demic Diffusion with Environmental Constraints | 1.1 |
dispmod Modelling Dispersion in GLM | 1.2 |
disposables Create Disposable R Packages for Testing | 1.0.3 |
dispositionEffect Analysis of Disposition Effect on Financial Portfolios | 1.0.1 |
dispRity Measuring Disparity | 1.9 |
disprofas Non-Parametric Dissolution Profile Analysis | 0.2.0 |
disprose Discriminating Probes Selection | 0.1.6 |
dissCqN Multiple Assemblage Dissimilarity for Orders q = 0-N | 0.1.0 |
dissever Spatial Downscaling using the Dissever Algorithm | 0.2-3 |
DiSSMod Fitting Sample Selection Models for Discrete Response Variables | 1.0.0 |
Distance Distance Sampling Detection Function and Abundance Estimation | 2.0.0 |
distances Tools for Distance Metrics | 0.1.11 |
distanceto Calculate Distance to Features | 0.0.3 |
distantia Assessing Dissimilarity Between Multivariate Time Series | 1.0.2 |
DistatisR DiSTATIS Three Way Metric Multidimensional Scaling | 1.1.1 |
distcomp Computations over Distributed Data without Aggregation | 1.3-3 |
distcrete Discrete Distribution Approximations | 1.0.3 |
distdichoR Distributional Method for the Dichotomisation of Continuous Outcomes | 0.1-1 |
distfree.cr Distribution-Free Confidence Region | 1.5.1 |
distfreereg Distribution-Free Goodness-of-Fit Testing for Regression | 1.0.1 |
distfromq Reconstruct a Distribution from a Collection of Quantiles | 1.0.4 |
distill 'R Markdown' Format for Scientific and Technical Writing | 1.6 |
distillery Method Functions for Confidence Intervals and to Distill Information from an Object | 1.2-2 |
distillML Model Distillation and Interpretability Methods for Machine Learning Models | 0.1.0.13 |
distinctiveness Distinctiveness Centrality | 1.0.1 |
disto Unified Interface to Distance, Dissimilarity, Similarity Matrices | 0.2.0 |
distops Usual Operations for Distance Matrices in R | 0.1.0 |
distory Distance Between Phylogenetic Histories | 1.4.5 |
DistPlotter A Graphical User Interface for Plotting Common Univariate Distributions | 0.0.2 |
distr Object Oriented Implementation of Distributions | 2.9.5 |
distrDoc Documentation for 'distr' Family of R Packages | 2.8.4 |
distreg.vis Framework for the Visualization of Distributional Regression Models | 1.7.5 |
distrEllipse S4 Classes for Elliptically Contoured Distributions | 2.8.3 |
distrEx Extensions of Package 'distr' | 2.9.5 |
DISTRIB Four Essential Functions for Statistical Distributions Analysis: A New Functional Approach | 1.0 |
Distributacalcul Probability Distribution Functions | 0.4.0 |
distributional Vectorised Probability Distributions | 0.5.0 |
DistributionOptimization Distribution Optimization | 1.2.6 |
distributions3 Probability Distributions as S3 Objects | 0.2.2 |
distributionsrd Distribution Fitting and Evaluation | 0.0.6 |
DistributionTest Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio | 1.1 |
DistributionUtils Distribution Utilities | 0.6-1 |
distrMod Object Oriented Implementation of Probability Models | 2.9.6 |
distro Linux Distribution Properties | 0.1.0 |
distrom Distributed Multinomial Regression | 1.0.1 |
distrr Estimate and Manage Empirical Distributions | 0.0.6 |
distrRmetrics Distribution Classes for Distributions from Rmetrics | 2.8.2 |
distrSim Simulation Classes Based on Package 'distr' | 2.8.3 |
distrTeach Extensions of Package 'distr' for Teaching Stochastics/Statistics in Secondary School | 2.9.1 |
distrTEst Estimation and Testing Classes Based on Package 'distr' | 2.8.2 |
distTails A Collection of Full Defined Distribution Tails | 0.1.2 |
disttools Distance Object Manipulation Tools | 0.1.8 |
dittodb A Test Environment for Database Requests | 0.1.8 |
dittoViz User Friendly Data Visualization | 1.0.1 |
div Report on Diversity and Inclusion in a Corporate Setting | 0.3.1 |
divDyn Diversity Dynamics using Fossil Sampling Data | 0.8.3 |
DivE Diversity Estimator | 1.3 |
diveMove Dive Analysis and Calibration | 1.6.4 |
divent Entropy Partitioning to Measure Diversity | 0.4-4 |
diveR Easily Install and Load Interactive Data Visualization Tools | 0.1.2 |
diverge Evolutionary Trait Divergence Between Sister Species and Other Paired Lineages | 2.0.6 |
diverse Diversity Measures for Complex Systems | 0.1.5 |
DiversificationR Econometric Tools to Measure Portfolio Diversification | 0.1.0 |
diversitree Comparative 'Phylogenetic' Analyses of Diversification | 0.10-1 |
diversityForest Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling | 0.5.0 |
divest Get Images Out of DICOM Format Quickly | 1.1.1 |
divo Tools for Analysis of Diversity and Similarity in Biological Systems | 1.0.1 |
divraster Diversity Metrics Calculations for Rasterized Data | 1.0.4 |
divseg Calculate Diversity and Segregation Indices | 0.0.5 |
divvy Spatial Subsampling of Biodiversity Occurrence Data | 1.0.0 |
dixon Nearest Neighbour Contingency Table Analysis | 0.0-9 |
dixonTest Dixon's Ratio Test for Outlier Detection | 1.0.4 |
diyar Record Linkage and Epidemiological Case Definitions in 'R' | 0.5.1 |
DIZtools Lightweight Utilities for 'DIZ' R Package Development | 1.0.1 |
DIZutils Utilities for 'DIZ' R Package Development | 0.1.3 |
DJL Distance Measure Based Judgment and Learning | 3.9 |
dkanr Client for the 'DKAN' API | 0.1.3 |
dLagM Time Series Regression Models with Distributed Lag Models | 1.1.13 |
DLASSO Implementation of Adaptive or Non-Adaptive Differentiable Lasso and SCAD Penalties in Linear Models | 2.0.2 |
dlbayes Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection | 0.1.0 |
DLEGFM Distributed Loading Estimation for General Factor Model | 0.4.0 |
dlib Allow Access to the 'Dlib' C++ Library | 1.0.3.1 |
dlim Distributed Lag Interaction Model | 0.1.0 |
DLL Decorrelated Local Linear Estimator | 1.0.0 |
dlm Bayesian and Likelihood Analysis of Dynamic Linear Models | 1.1-6.1 |
DLMtool Data-Limited Methods Toolkit | 6.0.6 |
dlmtree Bayesian Treed Distributed Lag Models | 1.0.0 |
dlnm Distributed Lag Non-Linear Models | 2.4.7 |
dlookr Tools for Data Diagnosis, Exploration, Transformation | 0.6.3 |
DLPCA The Distributed Local PCA Algorithm | 0.0.5 |
dlr Download and Cache Files Safely | 1.0.1 |
dlsem Distributed-Lag Linear Structural Equation Models | 2.4.6 |
dlstats Download Stats of R Packages | 0.1.7 |
dm Relational Data Models | 1.0.11 |
dma Dynamic Model Averaging | 1.4-0 |
dmai Divisia Monetary Aggregates Index | 0.5.0 |
dmbc Model Based Clustering of Binary Dissimilarity Measurements | 1.0.3 |
DMCfun Diffusion Model of Conflict (DMC) in Reaction Time Tasks | 4.0.1 |
dmetatools Computational Tools for Meta-Analysis of Diagnostic Accuracy Test | 1.1.1 |
dml Distance Metric Learning in R | 1.1.0 |
dmlalg Double Machine Learning Algorithms | 1.0.2 |
dmm Dyadic Mixed Model for Pedigree Data | 2.1-10 |
DMMF Daily Based Morgan-Morgan-Finney (DMMF) Soil Erosion Model | 0.5.2.0 |
dMod Dynamic Modeling and Parameter Estimation in ODE Models | 1.0.2 |
DMQ Dynamic Multiple Quantile (DMQ) Model | 0.1.2 |
dmri.tracking DiST - Diffusion Direction Smoothing and Tracking | 0.1.0 |
DMRnet Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data | 0.4.0 |
DMtest Differential Methylation Tests (DMtest) | 1.0.0 |
DMTL Tools for Applying Distribution Mapping Based Transfer Learning | 0.1.2 |
dmtools Tools for Clinical Data Management | 0.2.6 |
dmutate Mutate Data Frames with Random Variates | 0.1.3 |
DMwR2 Functions and Data for the Second Edition of "Data Mining with R" | 0.0.2 |
DNAcopy | 1.80.0 |
DNAmixturesLite Statistical Inference for Mixed Traces of DNA (Lite-Version) | 0.0-1 |
DNAmotif DNA Sequence Motifs | 0.1.1 |
DNAseqtest Generating and Testing DNA Sequences | 1.0 |
DNAtools Tools for Analysing Forensic Genetic DNA Data | 0.2-4 |
dndR Dungeons & Dragons Functions for Players and Dungeon Masters | 2.0.0 |
DNetFinder Estimating Differential Networks under Semiparametric Gaussian Graphical Models | 1.1 |
dng Distributions and Gradients | 0.2.1 |
DNH4 Crawling for Daum News Text | 0.1.12 |
DNLC Differential Network Local Consistency Analysis | 1.0.0 |
DNMF Discriminant Non-Negative Matrix Factorization | 1.4.2 |
dnn Deep Neural Network Tools for Probability and Statistic Models | 0.0.6 |
dnr Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family | 0.3.5 |
do Data Operator | 2.0.0.1 |
do3PCA Probabilistic Phylogenetic Principal Component Analysis | 1.0.0 |
dobin Dimension Reduction for Outlier Detection | 1.0.4 |
dobson Data from the GLM Book by Dobson and Barnett | 0.4 |
doBy Groupwise Statistics, LSmeans, Linear Estimates, Utilities | 4.6.24 |
doc2concrete Measuring Concreteness in Natural Language | 0.6.0 |
doc2vec Distributed Representations of Sentences, Documents and Topics | 0.2.0 |
dockerfiler Easy Dockerfile Creation from R | 0.2.4 |
DockerParallel Using the Docker Container to Create R Workers on Local or Cloud Platform | 1.0.4 |
docket Insert R Data into 'Word' Documents | 1.33 |
docknitr Use Docker Images to Process Rmarkdown Blocks | 1.0.1 |
doconv Document Conversion to 'PDF' or 'PNG' | 0.3.2 |
docopt Command-Line Interface Specification Language | 0.7.1 |
docopulae Optimal Designs for Copula Models | 0.4.0 |
docore Utility Functions for Scientific Coding | 1.0 |
docstring Provides Docstring Capabilities to R Functions | 1.0.0 |
doctest Generate Tests from Examples Using 'roxygen' and 'testthat' | 0.3.0 |
document Run 'roxygen2' on (Chunks of) Single Code Files | 4.0.0 |
documenter Documents Files | 0.1.3 |
docuSignr Connect to 'DocuSign' API | 0.0.3 |
docxtractr Extract Data Tables and Comments from 'Microsoft' 'Word' Documents | 0.6.5 |
Dodge Acceptance Sampling Ideas Originated by H.F. Dodge | 0.9-2 |
dodgr Distances on Directed Graphs | 0.4.1 |
DoE.base Full Factorials, Orthogonal Arrays and Base Utilities for DoE Packages | 1.2-4 |
DoE.MIParray Creation of Arrays by Mixed Integer Programming | 1.0-1 |
DoE.wrapper Wrapper Package for Design of Experiments Functionality | 0.12 |
doebioresearch Analysis of Design of Experiments for Biological Research | 0.1.0 |
DOEM The Distributed Online Expectation Maximization Algorithms to Solve Parameters of Poisson Mixture Models | 0.0.0.1 |
DoEstRare Rare Variant Association Test Based on Position Density Estimation | 0.2 |
doex The One-Way Heteroscedastic ANOVA Tests | 1.2 |
doFuture Use Foreach to Parallelize via the Future Framework | 1.0.1 |
dogesr Work with the Doges/Dogaresse Dataset | 0.5.0 |
doMC Foreach Parallel Adaptor for 'parallel' | 1.3.8 |
dominanceanalysis Dominance Analysis | 2.1.0 |
domino R Console Bindings for the 'Domino Command-Line Client' | 0.3.1 |
DominoDataR 'Domino Data R SDK' | 0.2.3 |
domir Tools to Support Relative Importance Analysis | 1.2.0 |
doMPI Foreach Parallel Adaptor for the Rmpi Package | 0.2.2 |
donut Nearest Neighbour Search with Variables on a Torus | 1.0.3 |
donutsk Construct Advanced Donut Charts | 0.1.1 |
doofa Designs for Order-of-Addition Experiments | 1.0 |
doolkit Exploration of Dental Surface Topography | 1.42.2 |
doParallel Foreach Parallel Adaptor for the 'parallel' Package | 1.0.17 |
DOPE Drug Ontology Parsing Engine | 2.1.0 |
doRedis 'Foreach' Parallel Adapter Using the 'Redis' Database | 3.0.2 |
doremi Dynamics of Return to Equilibrium During Multiple Inputs | 1.0.0 |
doRNG Generic Reproducible Parallel Backend for 'foreach' Loops | 1.8.6 |
DOS Design of Observational Studies | 1.0.0 |
DOS2 Design of Observational Studies, Companion to the Second Edition | 0.5.2 |
DOSE | 4.0.0 |
dosearch Causal Effect Identification from Multiple Incomplete Data Sources | 1.0.11 |
dosedesignR Interactive Designing of Dose Finding Studies | 0.3.0 |
DoseFinding Planning and Analyzing Dose Finding Experiments | 1.2-1 |
doseminer Extract Drug Dosages from Free-Text Prescriptions | 0.1.2 |
doseSens Conduct Sensitivity Analysis with Continuous Exposures and Binary Outcomes | 0.1.0 |
doSNOW Foreach Parallel Adaptor for the 'snow' Package | 1.0.20 |
DOSPortfolio Dynamic Optimal Shrinkage Portfolio | 0.1.0 |
dosresmeta Multivariate Dose-Response Meta-Analysis | 2.0.1 |
dostats Compute Statistics Helper Functions | 1.3.3 |
DOT Render and Export DOT Graphs in R | 0.1 |
dotCall64 Enhanced Foreign Function Interface Supporting Long Vectors | 1.2 |
dotenv Load Environment Variables from '.env' | 1.0.3 |
dotgen Gene-Set Analysis via Decorrelation by Orthogonal Transformation | 0.1.1 |
dotprofile Create and Manage Configuration Profiles | 0.0.1 |
dots Dot Density Maps | 0.0.2 |
dotsViolin Dot Plots Mimicking Violin Plots | 0.0.1 |
dotty The Unpacking Dot Operator | 0.1.0 |
dotwhisker Dot-and-Whisker Plots of Regression Results | 0.8.3 |
doubcens Survivor Function Estimation for Doubly Interval-Censored Failure Time Data | 1.1 |
double.truncation Analysis of Doubly-Truncated Data | 1.8 |
DoubleCone Test Against Parametric Regression Function | 1.1 |
DoubleExpSeq Differential Exon Usage Test for RNA-Seq Data via Empirical Bayes Shrinkage of the Dispersion Parameter | 1.1 |
DoubleML Double Machine Learning in R | 1.0.1 |
doublIn Estimate Incubation or Latency Time using Doubly Interval Censored Observations | 0.2.0 |
doubt Enable Operators Containing the '?' Symbol | 0.1.0 |
douconca Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology | 1.2.2 |
doudpackage Create Elegant Table 1 in HTML for Bio-Statistics | 2.1.0 |
DOvalidation Kernel Hazard Estimation with Best One-Sided and Double One-Sided Cross-Validation | 1.1.0 |
DOVE Durability of Vaccine Efficacy | 1.10 |
Dowd Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's Book Measuring Market Risk | 0.12 |
downlit Syntax Highlighting and Automatic Linking | 0.4.4 |
downloader Download Files over HTTP and HTTPS | 0.4 |
downloadthis Implement Download Buttons in 'rmarkdown' | 0.4.1 |
downscale Downscaling Species Occupancy | 5.0.0 |
downsize A Tool to Downsize Large Analysis Projects for Testing | 0.2.3 |
dowser B Cell Receptor Phylogenetics Toolkit | 2.3 |
DOYPAColors Don't Overthink Your Palette of Colors | 0.0.2 |
dparser Port of 'Dparser' Package | 1.3.1-13 |
dpasurv Dynamic Path Analysis of Survival Data via Aalen's Additive Hazards Model | 0.1.0 |
DPBBM Dirichlet Process Beta-Binomial Mixture | 0.2.5 |
dpcc Dynamic Programming for Convex Clustering | 1.0.0 |
dPCP Automated Analysis of Multiplex Digital PCR Data | 2.0.1 |
Dpit Distribution Pitting | 1.0 |
dpkg Create, Stow, and Read Data Packages | 0.6.0 |
dplR Dendrochronology Program Library in R | 1.7.7 |
dplyr A Grammar of Data Manipulation | 1.1.4 |
dplyrAssist RStudio Addin for Teaching and Learning Data Manipulation Using 'dplyr' | 0.1.0 |
dpm Dynamic Panel Models Fit with Maximum Likelihood | 1.2.0 |
dpmr Data Package Manager for R | 0.1.9 |
DPP Inference of Parameters of Normal Distributions from a Mixture of Normals | 0.1.2 |
DPpack Differentially Private Statistical Analysis and Machine Learning | 0.2.2 |
dppmix Determinantal Point Process Mixture Models | 0.1.1 |
DPQ Density, Probability, Quantile ('DPQ') Computations | 0.5-9 |
DPQmpfr DPQ (Density, Probability, Quantile) Distribution Computations using MPFR | 0.3-3 |
dprop Computation of Some Important Distributional Properties | 0.1.0 |
dpseg Piecewise Linear Segmentation by Dynamic Programming | 0.1.1 |
DPTM Dynamic Panel Multiple Threshold Model with Fixed Effects | 1.6.0 |
DPtree Dirichlet-Based Polya Tree | 1.0.1 |
DQAgui Graphical User Interface for Data Quality Assessment | 0.2.5 |
DQAstats Core Functions for Data Quality Assessment | 0.3.6 |
dqrng Fast Pseudo Random Number Generators | 0.4.1 |
dQTG.seq A BSA Software for Detecting All Types of QTLs in BC, DH, RIL and F2 | 1.0.2 |
dr Methods for Dimension Reduction for Regression | 3.0.10 |
DR.SC Joint Dimension Reduction and Spatial Clustering | 3.4 |
dr4pl Dose Response Data Analysis using the 4 Parameter Logistic (4pl) Model | 2.0.0 |
dracor Decode Draco Format 3D Mesh Data | 0.2.6 |
dragonking Statistical Tools to Identify Dragon Kings | 0.1.0 |
dragracer Data Sets for RuPaul's Drag Race | 0.1.7 |
dragulaR Drag and Drop Elements in 'Shiny' using 'Dragula Javascript Library' | 0.3.1 |
drake A Pipeline Toolkit for Reproducible Computation at Scale | 7.13.11 |
DramaAnalysis Analysis of Dramatic Texts | 3.0.2 |
drape Doubly Robust Average Partial Effects | 0.0.2 |
drat 'Drat' R Archive Template | 0.2.5 |
draw Wrapper Functions for Producing Graphics | 1.0.0 |
drawer An Interactive HTML Image Editing Tool | 0.2.0.1 |
DRaWR Discriminative Random Walk with Restart | 1.0.3 |
drawsample Draw Samples with the Desired Properties from a Data Set | 1.0.1 |
DRAYL Computation of Rayleigh Densities of Arbitrary Dimension | 1.0 |
DrBats Data Representation: Bayesian Approach That's Sparse | 0.1.6 |
drc Analysis of Dose-Response Curves | 3.0-1 |
drcarlate Improving Estimation Efficiency in CAR with Imperfect Compliance | 1.2.0 |
drclust Simultaneous Clustering and (or) Dimensionality Reduction | 0.1 |
drcSeedGerm Utilities for Data Analyses in Seed Germination/Emergence Assays | 1.0.1 |
drcte Statistical Approaches for Time-to-Event Data in Agriculture | 1.0.30 |
drda Dose-Response Data Analysis | 2.0.4 |
DRDID Doubly Robust Difference-in-Differences Estimators | 1.2.0 |
DrDimont Drug Response Prediction from Differential Multi-Omics Networks | 0.1.4 |
DRDRtest A Nonparametric Doubly Robust Test for Continuous Treatment Effect | 0.1 |
dreamer Dose Response Models for Bayesian Model Averaging | 3.1.0 |
dreamerr Error Handling Made Easy | 1.4.0 |
DREGAR Regularized Estimation of Dynamic Linear Regression in the Presence of Autocorrelated Residuals (DREGAR) | 0.1.3.0 |
drf Distributional Random Forests | 1.1.0 |
drgee Doubly Robust Generalized Estimating Equations | 1.1.10 |
drglm Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets | 1.1 |
DRHotNet Differential Risk Hotspots in a Linear Network | 2.3 |
drhur Learning R with Dr. Hu | 1.1.0 |
DriftBurstHypothesis Calculates the Test-Statistic for the Drift Burst Hypothesis | 0.4.0.1 |
drifter Concept Drift and Concept Shift Detection for Predictive Models | 0.2.1 |
DrillR R Driver for Apache Drill | 0.1 |
drimmR Estimation, Simulation and Reliability of Drifting Markov Models | 1.0.1 |
DrImpute Imputing Dropout Events in Single-Cell RNA-Sequencing Data | 1.0 |
DRIP Discontinuous Regression and Image Processing | 2.3 |
driveR Prioritizing Cancer Driver Genes Using Genomics Data | 0.4.1 |
droll Analyze Roll Distributions | 0.1.0 |
DRomics Dose Response for Omics | 2.6-2 |
dropout Handling Incomplete Responses in Survey Data Analysis | 2.2.0 |
dropR Dropout Analysis by Condition | 1.0.3 |
droptest Simulates LOX Drop Testing | 0.1.3 |
drord Doubly-Robust Estimators for Ordinal Outcomes | 1.0.1 |
drought Statistical Modeling and Assessment of Drought | 1.2 |
drpop Efficient and Doubly Robust Population Size Estimation | 0.0.3 |
DRquality Quality Measurements for Dimensionality Reduction | 0.2.1 |
DRR Dimensionality Reduction via Regression | 0.0.4 |
drtmle Doubly-Robust Nonparametric Estimation and Inference | 1.1.2 |
drugDemand Drug Demand Forecasting | 0.1.3 |
drugdevelopR Utility-Based Optimal Phase II/III Drug Development Planning | 1.0.1 |
DrugExposureDiagnostics Diagnostics for OMOP Common Data Model Drug Records | 1.0.10 |
drugprepr Prepare Electronic Prescription Record Data to Estimate Drug Exposure | 0.0.4 |
DrugSim2DR Predict Drug Functional Similarity to Drug Repurposing | 0.1.1 |
DrugUtilisation Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model | 0.8.0 |
drumr Turn R into a Drum Machine | 0.1.0 |
DRviaSPCN Drug Repurposing in Cancer via a Subpathway Crosstalk Network | 0.1.4 |
ds Descriptive Statistics | 4.0 |
ds4psy Data Science for Psychologists | 1.0.0 |
dsa Seasonal Adjustment of Daily Time Series | 1.0.12 |
DSAIDE Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution) | 0.9.6 |
DSAIRM Dynamical Systems Approach to Immune Response Modeling | 0.9.6 |
DSAM Data Splitting Algorithms for Model Developments | 1.0.2 |
dsample Discretization-Based Direct Random Sample Generation | 0.91.3.4 |
dsb Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq) | 1.0.4 |
DSBayes Bayesian Subgroup Analysis in Clinical Trials | 2023.1.0 |
dscore D-Score for Child Development | 1.9.0 |
dsdp Density Estimation with Semidefinite Programming | 0.1.1 |
dsem Fit Dynamic Structural Equation Models | 1.3.0 |
DSI 'DataSHIELD' Interface | 1.7.1 |
dsims Distance Sampling Simulations | 1.0.4 |
DSjobtracker What Skills and Qualifications are Required for Data Science Related Jobs? | 2.0.0 |
DSL Distributed Storage and List | 0.1-7 |
dslabs Data Science Labs | 0.8.0 |
dsld Data Science Looks at Discrimination | 0.2.2 |
dslice Dynamic Slicing | 1.2.2 |
DSLite 'DataSHIELD' Implementation on Local Datasets | 1.4.0 |
dsm Density Surface Modelling of Distance Sampling Data | 2.3.3 |
dsmisc Data Science Box of Pandora Miscellaneous | 0.3.3 |
dsmmR Estimation and Simulation of Drifting Semi-Markov Models | 1.0.5 |
DSMolgenisArmadillo 'DataSHIELD' Client for 'MOLGENIS Armadillo' | 2.0.9 |
dsmSearch DSM and LiDAR downloader | 1.0.2 |
DSOpal 'DataSHIELD' Implementation for 'Opal' | 1.4.0 |
dsos Dataset Shift with Outlier Scores | 0.1.2 |
DSpoty Get 'Spotify' API Multiple Information | 0.1.0 |
dsrTest Tests and Confidence Intervals on Directly Standardized Rates for Several Methods | 1.0.0 |
DSSAT A Comprehensive R Interface for the DSSAT Cropping Systems Model | 0.0.9 |
dssd Distance Sampling Survey Design | 1.0.2 |
DSSP Implementation of the Direct Sampling Spatial Prior | 0.1.1 |
dst Using the Theory of Belief Functions | 1.8.0 |
dstabledist The Discrete Stable Distribution Functions | 0.1.0 |
DstarM Analyze Two Choice Reaction Time Data with the D*M Method | 0.4.0 |
dstat Conditional Sensitivity Analysis for Matched Observational Studies | 1.0.4 |
dstat2x2xk Demonstrated Insensitivity to Bias in 2x2xK Contingency Tables | 0.2.0 |
dSTEM Multiple Testing of Local Extrema for Detection of Change Points | 2.0-1 |
dsTidyverse 'DataSHIELD' 'Tidyverse' Serverside Package | 1.0.1 |
dsTidyverseClient 'DataSHIELD' 'Tidyverse' Clientside Package | 1.0.0 |
dSVA Direct Surrogate Variable Analysis | 1.0 |
DSWE Data Science for Wind Energy | 1.8.2 |
DT A Wrapper of the JavaScript Library 'DataTables' | 0.33 |
Dtableone Tabular Comparison of Paired Diagnostic Tests | 1.1.0 |
dtangle Cell Type Deconvolution from Gene Expressions | 2.0.9 |
DTAplots Creates Plots Accompanying Bayesian Diagnostic Test Accuracy Meta-Analyses | 1.0.2.5 |
DTAT Dose Titration Algorithm Tuning | 0.3-7 |
DTAXG Diagnostic Test Assessment in the Absence of Gold Standard | 0.1.0 |
dTBM Multi-Way Spherical Clustering via Degree-Corrected Tensor Block Models | 3.0 |
dtComb Statistical Combination of Diagnostic Tests | 1.0.4 |
DTComPair Comparison of Binary Diagnostic Tests in a Paired Study Design | 1.2.6 |
DtD Distance to Default | 0.2.2 |
DTDA Doubly Truncated Data Analysis | 3.0.1 |
DTDA.cif Doubly Truncated Data Analysis, Cumulative Incidence Functions | 1.0.2 |
DTDA.ni Doubly Truncated Data Analysis, Non Iterative | 1.0.1 |
dtgiw Discrete Transmuted Generalized Inverse Weibull Distribution | 1.0.0 |
dti Analysis of Diffusion Weighted Imaging (DWI) Data | 1.5.4.3 |
dtmapi Fetching Data from the 'Displacement Tracking Matrix' | 0.0.2 |
DTMCPack Suite of Functions Related to Discrete-Time Discrete-State Markov Chains | 0.1-3 |
dtp Dynamic Panel Threshold Model | 0.1.0 |
dtpcrm Dose Transition Pathways for Continual Reassessment Method | 0.1.1 |
dtplyr Data Table Back-End for 'dplyr' | 1.3.1 |
dtrackr Track your Data Pipelines | 0.4.6 |
dtreg Interact with Data Type Registries and Create Machine-Readable Data | 1.1.0 |
DTRKernSmooth Estimate and Make Inference About Optimal Treatment Regimes via Smoothed Methods | 1.1.0 |
DTRlearn2 Statistical Learning Methods for Optimizing Dynamic Treatment Regimes | 1.1 |
DTRreg DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv) | 2.2 |
dtrSurv Dynamic Treatment Regimes for Survival Analysis | 1.4 |
DTSEA Drug Target Set Enrichment Analysis | 0.0.3 |
DTSg A Class for Working with Time Series Data Based on 'data.table' and 'R6' with Largely Optional Reference Semantics | 1.1.3 |
DTSR Distributed Trimmed Scores Regression for Handling Missing Data | 0.1.0 |
dtt Discrete Trigonometric Transforms | 0.1-2 |
dttr2 Manipulate Date, POSIXct and hms Vectors | 0.5.2 |
dtts 'data.table' Time-Series | 0.1.3 |
dtw Dynamic Time Warping Algorithms | 1.23-1 |
DTWBI Imputation of Time Series Based on Dynamic Time Warping | 1.1 |
dtwclust Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance | 6.0.0 |
DTwrappers Simplified Data Analysis with Wrapper Functions for the 'Data.Table' Package | 0.0.2 |
DTwrappers2 Extensions of 'DTwrappers' | 0.0.3 |
DTWUMI Imputation of Multivariate Time Series Based on Dynamic Time Warping | 1.0 |
dual Automatic Differentiation with Dual Numbers | 0.0.5 |
dualScale Dual Scaling Analysis of Data | 1.0.0 |
dualtrees Decimated and Undecimated 2D Complex Dual-Tree Wavelet Transform | 0.1.5 |
duawranglr Securely Wrangle Dataset According to Data Usage Agreement | 0.6.7 |
dub Unpacking Assignment for Lists via Pattern Matching | 0.2.0 |
duckdb DBI Package for the DuckDB Database Management System | 1.1.3-1 |
duckdbfs High Performance Remote File System, Database and 'Geospatial' Access Using 'duckdb' | 0.0.8 |
duckduckr Simple Client for the DuckDuckGo Instant Answer API | 1.0.0 |
duckplyr A 'DuckDB'-Backed Version of 'dplyr' | 0.4.1 |
duke Creating a Color-Blind Friendly Duke Color Package | 0.0.3 |
dumbbell Displaying Changes Between Two Points Using Dumbbell Plots | 0.1 |
dummy Automatic Creation of Dummies with Support for Predictive Modeling | 0.1.3 |
dundermifflin The Office Quotes on-Demand | 0.1.1 |
dunlin Preprocessing Tools for Clinical Trial Data | 0.1.8 |
dunn.test Dunn's Test of Multiple Comparisons Using Rank Sums | 1.3.6 |
dupiR Bayesian Inference from Count Data using Discrete Uniform Priors | 1.2.1 |
dupNodes Computes DNSLbetweenness, a Betweenness Measure that Includes Self-Loops | 0.3.0 |
dupree Identify Duplicated R Code in a Project | 0.3.0 |
Durga Effect Size Estimation and Visualisation | 2.0 |
dverse Document a Universe of Packages | 0.2.0 |
DVHmetrics Analyze Dose-Volume Histograms and Check Constraints | 0.4.2 |
dvir Disaster Victim Identification | 3.3.0 |
dvmisc Convenience Functions, Moving Window Statistics, and Graphics | 1.1.4 |
dvqcc Dynamic VAR - Based Control Charts for Batch Process Monitoring | 0.1.0 |
dwctaxon Edit and Validate Darwin Core Taxon Data | 2.0.3 |
DWDLargeR Fast Algorithms for Large Scale Generalized Distance Weighted Discrimination | 0.2-0 |
dwdradar Read Binary Radar Files from 'DWD' (German Weather Service) | 0.2.10 |
DWLasso Degree Weighted Lasso | 1.1 |
dwlm Doubly Weighted Linear Model | 0.1.0 |
DWLS Gene Expression Deconvolution Using Dampened Weighted Least Squares | 0.1.0 |
dwp Density-Weighted Proportion | 1.1 |
DWreg Parametric Regression for Discrete Response | 2.0 |
dyads Dyadic Network Analysis | 1.2.1 |
dycdtools Calibration Assistant and Post-Processing Tool for Aquatic Ecosystem Model DYRESM-CAEDYM | 0.4.4 |
dydea Detection of Chaotic and Regular Intervals in the Data | 0.1.0 |
dygraphs Interface to 'Dygraphs' Interactive Time Series Charting Library | 1.1.1.6 |
Dykstra Quadratic Programming using Cyclic Projections | 1.0-0 |
DYM Did You Mean? | 0.2 |
DyMEP Dynamic Multi Environment Phenology-Model | 0.1.2 |
dymo Dynamic Mode Decomposition for Multivariate Time Feature Prediction | 1.1.0 |
dyn Time Series Regression | 0.2-9.6 |
dyn.log Dynamic Logging for R Inspired by Configuration Driven Development | 0.4.0 |
dynamac Dynamic Simulation and Testing for Single-Equation ARDL Models | 0.1.12 |
dynamAedes A Unified Mechanistic Model for the Population Dynamics of Invasive Aedes Mosquitoes | 2.2.9 |
dynamic DFI Cutoffs for Latent Variable Models | 1.1.0 |
DynamicGP Modelling and Analysis of Dynamic Computer Experiments | 1.1-9 |
dynamicSDM Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution | 1.3.4 |
dynamicTreeCut Methods for Detection of Clusters in Hierarchical Clustering Dendrograms | 1.63-1 |
dynamite Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data | 1.5.5 |
DynaRankR Inferring Longitudinal Dominance Hierarchies | 1.1.0 |
DynareR Bringing the Power of 'Dynare' to 'R', 'R Markdown', and 'Quarto' | 0.1.5 |
dynaSpec Dynamic Spectrogram Visualizations | 1.0.2 |
DYNATE Dynamic Aggregation Testing | 0.1 |
dynatop An Implementation of Dynamic TOPMODEL Hydrological Model in R | 0.2.3 |
dynatopGIS Algorithms for Helping Build Dynamic TOPMODEL Implementations from Spatial Data | 0.2.5 |
dynaTree Dynamic Trees for Learning and Design | 1.2-17 |
dynBiplotGUI Full Interactive GUI for Dynamic Biplot in R | 1.1.6 |
DynClust Denoising and Clustering for Dynamical Image Sequence (2D or 3D)+t | 3.24 |
dyncomp Complexity of Short and Coarse-Grained Time Series | 0.0.2-1 |
dynConfiR Dynamic Models for Confidence and Response Time Distributions | 0.0.4 |
dynCorr Dynamic Correlation Package | 1.1.0 |
dyndimred Dimensionality Reduction Methods in a Common Format | 1.0.4 |
DynDoc | 1.84.0 |
dynetNLAResistance Resisting Neighbor Label Attack in a Dynamic Network | 0.1.0 |
DynForest Random Forest with Multivariate Longitudinal Predictors | 1.2.0 |
dyngen A Multi-Modal Simulator for Spearheading Single-Cell Omics Analyses | 1.0.5 |
dynlm Dynamic Linear Regression | 0.3-6 |
dynmix Estimation of Dynamic Finite Mixtures | 2.0 |
DynNom Visualising Statistical Models using Dynamic Nomograms | 5.1 |
dynpanel Dynamic Panel Data Models | 0.1.0 |
dynparam Creating Meta-Information for Parameters | 1.0.2 |
dynpred Companion Package to "Dynamic Prediction in Clinical Survival Analysis" | 0.1.2 |
dynprog Dynamic Programming Domain-Specific Language | 0.1.1 |
dynr Dynamic Models with Regime-Switching | 0.1.16-105 |
dynRB Dynamic Range Boxes | 0.18 |
dynsim Dynamic Simulations of Autoregressive Relationships | 1.2.3 |
dynsurv Dynamic Models for Survival Data | 0.4-7 |
dyntaper Dynamic Stem Profile Models, AKA Tree Taper Equations | 1.1 |
DynTxRegime Methods for Estimating Optimal Dynamic Treatment Regimes | 4.15 |
dynutils Common Functionality for the 'dynverse' Packages | 1.0.11 |
dynwrap Representing and Inferring Single-Cell Trajectories | 1.2.4 |
dySEM Dyadic Structural Equation Modeling | 1.0.0 |
DysPIA Dysregulated Pathway Identification Analysis | 1.3 |
DysPIAData Background and Pathway Data Used in 'DysPIA' | 0.1.2 |
DySS Dynamic Screening Systems | 1.0 |
e1071 Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien | 1.7-16 |
E4tools Management and Processing Tools for Data Produced by the Empatica E4 | 0.1.1 |
eadrm Fitting Dose-Response Models Using an Evolutionary Algorithm | 0.1.4 |
eaf Plots of the Empirical Attainment Function | 2.5.1 |
Eagle Multiple Locus Association Mapping on a Genome-Wide Scale | 2.5 |
EAinference Estimator Augmentation and Simulation-Based Inference | 0.2.3 |
eAnalytics Dynamic Web-Based Analytics for the Energy Industry | 0.3.1 |
earlygating Properties of Bayesian Early Gating Designs | 1.1 |
earlyR Estimation of Transmissibility in the Early Stages of a Disease Outbreak | 0.0.5 |
earlywarnings Early Warning Signals for Critical Transitions in Time Series | 1.1.29 |
earth Multivariate Adaptive Regression Splines | 5.3.4 |
earthdatalogin NASA 'EarthData' Login Utilities | 0.0.2 |
earthtide Parallel Implementation of 'ETERNA 3.40' for Prediction and Analysis of Earth Tides | 0.1.5 |
earthtones Derive a Color Palette from a Particular Location on Earth | 0.1.1 |
Ease Simulating Explicit Population Genetics Models | 0.1.2 |
easy.glmnet Functions to Simplify the Use of 'glmnet' for Machine Learning | 1.0 |
easy.utils Frequently Used Functions for Easy R Programming | 0.0.5 |
EasyABC Efficient Approximate Bayesian Computation Sampling Schemes | 1.5.2 |
easyAHP Analytic Hierarchy Process (AHP) | 0.1.1 |
easyalluvial Generate Alluvial Plots with a Single Line of Code | 0.3.2 |
easyanova Analysis of Variance and Other Important Complementary Analyses | 11.0 |
easybgm Extracting and Visualizing Bayesian Graphical Models | 0.2.1 |
easybio Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit | 1.1.0 |
easycensus Quickly Find, Extract, and Marginalize U.S. Census Tables | 1.1.1 |
easyclimate Easy Access to High-Resolution Daily Climate Data for Europe | 0.2.2 |
easyCODA Compositional Data Analysis in Practice | 0.40.2 |
easycsv Load Multiple 'csv' and 'txt' Tables | 1.0.8 |
easydb Easily Connect to Common Types of Databases | 1.1.0 |
easyDes An Easy Way to Descriptive Analysis | 6.0 |
EasyDescribe A Convenient Way of Descriptive Statistics | 0.1.2 |
easyDifferentialGeneCoexpression Easily Performs Differential Coexpression Analysis | 1.4 |
easylabel Interactive Scatter Plot and Volcano Plot Labels | 0.2.8 |
EasyMx Easy Model-Builder Functions for 'OpenMx' | 0.3-2 |
easyNCDF Tools to Easily Read/Write NetCDF Files into/from Multidimensional R Arrays | 0.1.2 |
easynls Easy Nonlinear Model | 5.0 |
easyORtables Easy Odds Ratio Tables | 0.0.1 |
easypackages Easy Loading and Installing of Packages | 0.1.0 |
easypower Sample Size Estimation for Experimental Designs | 1.0.2 |
easyPSID Reading, Formatting, and Organizing the Panel Study of Income Dynamics (PSID) | 0.1.2 |
easyPubMed Search and Retrieve Scientific Publication Records from PubMed | 2.13 |
easyr Helpful Functions from Oliver Wyman Actuarial Consulting | 0.5-11 |
easyreg Easy Regression | 4.0 |
easySdcTable Easy Interface to the Statistical Disclosure Control Package 'sdcTable' Extended with Own Implementation of 'GaussSuppression' | 1.0.7 |
easySimData A Wrapper of 'simdata' Package | 0.1.0 |
easystats Framework for Easy Statistical Modeling, Visualization, and Reporting | 0.7.3 |
easysurv Simplify Survival Data Analysis and Model Fitting | 2.0.1 |
easySVG An Easy SVG Basic Elements Generator | 0.1.0 |
easyVerification Ensemble Forecast Verification for Large Data Sets | 0.4.5 |
easyWechat A Notifier for R Users by 'WeChat' | 0.2.0 |
eat Efficiency Analysis Trees | 0.1.4 |
eatATA Create Constraints for Small Test Assembly Problems | 1.1.2 |
eatDB Spreadsheet Interface for Relational Databases | 0.5.0 |
eatGADS Data Management of Large Hierarchical Data | 1.1.1 |
EATME Exponentially Weighted Moving Average with Adjustments to Measurement Error | 0.1.0 |
eatRep Educational Assessment Tools for Replication Methods | 0.14.7 |
eatTools Miscellaneous Functions for the Analysis of Educational Assessments | 0.7.7 |
eba Elimination-by-Aspects Models | 1.10-0 |
ebal Entropy Reweighting to Create Balanced Samples | 0.1-8 |
EBASE Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism | 1.1.0 |
EbayesThresh Empirical Bayes Thresholding and Related Methods | 1.4-12 |
EBCHS An Empirical Bayes Method for Chi-Squared Data | 0.1.0 |
ebci Robust Empirical Bayes Confidence Intervals | 1.0.0 |
EBcoBART Co-Data Learning for Bayesian Additive Regression Trees | 1.1.0 |
ebdbNet Empirical Bayes Estimation of Dynamic Bayesian Networks | 1.2.8 |
EBEN Empirical Bayesian Elastic Net | 5.2 |
ebGenotyping Genotyping and SNP Detection using Next Generation Sequencing Data | 2.0.1 |
EBglmnet Empirical Bayesian Lasso and Elastic Net Methods for Generalized Linear Models | 6.0 |
EBImage | 4.48.0 |
ebirdst Access and Analyze eBird Status and Trends Data Products | 3.2022.3 |
EBMAforecast Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms | 1.0.32 |
ebmc Ensemble-Based Methods for Class Imbalance Problem | 1.0.1 |
ebmstate Empirical Bayes Multi-State Cox Model | 0.1.5 |
ebnm Solve the Empirical Bayes Normal Means Problem | 1.1-2 |
EBPRS Derive Polygenic Risk Score Based on Emprical Bayes Theory | 2.1.0 |
EBrank Empirical Bayes Ranking | 1.0.0 |
ebreg Implementation of the Empirical Bayes Method | 0.1.3 |
eBsc "Empirical Bayes Smoothing Splines with Correlated Errors" | 4.17 |
ebTobit Empirical Bayesian Tobit Matrix Estimation | 1.0.2 |
ebvcube Working with netCDF for Essential Biodiversity Variables | 0.3.1 |
ec50estimator An Automated Way to Estimate EC50 for Stratified Datasets | 0.1.0 |
ecan Ecological Analysis and Visualization | 0.2.1 |
eCAR Eigenvalue CAR Models | 0.1.2 |
ecb Programmatic Access to the European Central Bank's Statistical Data Warehouse | 0.4.2 |
ecce Translate English Sentence into Chinese, or Translate Chinese Sentence into English | 3.0.2 |
Ecdat Data Sets for Econometrics | 0.4-2 |
ecdata Loads Data from the Executive Communications Dataset | 1.1.1 |
ecdfHT Empirical CDF for Heavy Tailed Data | 0.1.1 |
eCerto Statistical Tests for the Production of Reference Materials | 0.5.14 |
ecespa Functions for Spatial Point Pattern Analysis | 1.1-17 |
Ecfun Functions for 'Ecdat' | 0.3-6 |
ECG Center of Gravity Methods | 0.5.2 |
ECGofTestDx A Goodness-of-Fit Test for Elliptical Distributions with Diagnostic Capabilities | 0.5 |
ech Downloading and Processing Microdata from ECH-INE (Uruguay) | 0.1.3 |
ECharts2Shiny Embedding Interactive Charts Generated with ECharts Library into Shiny Applications | 0.2.13 |
echarts4r Create Interactive Graphs with 'Echarts JavaScript' Version 5 | 0.4.5 |
echarty Minimal R/Shiny Interface to JavaScript Library 'ECharts' | 1.6.4 |
echelon The Echelon Analysis and the Detection of Spatial Clusters using Echelon Scan Method | 0.2.0 |
eChem Simulations for Electrochemistry Experiments | 1.0.0 |
echo Echo Code Evaluations | 0.1.0 |
echo.find Finding Rhythms Using Extended Circadian Harmonic Oscillators (ECHO) | 4.0.1 |
echogram Echogram Visualisation and Analysis | 0.1.2 |
echoice2 Choice Models with Economic Foundation | 0.2.4 |
echor Access EPA 'ECHO' Data | 0.1.9 |
ecic Extended Changes-in-Changes | 0.0.3 |
ecipex Efficient Calculation of Fine Structure Isotope Patterns via Fourier Transforms of Simplex-Based Elemental Models | 1.1 |
ECLRMC Ensemble Correlation-Based Low-Rank Matrix Completion | 1.0 |
eclust Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data | 0.1.0 |
ecm Build Error Correction Models | 7.2.0 |
ecmwfr Interface to 'ECMWF' and 'CDS' Data Web Services | 2.0.2 |
eco Ecological Inference in 2x2 Tables | 4.0-3 |
ecocbo Calculating Optimum Sampling Effort in Community Ecology | 0.12.0 |
ecochange Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators | 2.9.3.2 |
ecocomDP Tools to Create, Use, and Convert ecocomDP Data | 1.3.2 |
ecoCopula Graphical Modelling and Ordination using Copulas | 1.0.2 |
ecode Ordinary Differential Equation Systems in Ecology | 0.1.0 |
EcoDiet Estimating a Diet Matrix from Biotracer and Stomach Content Data | 2.0.1 |
ecodist Dissimilarity-Based Functions for Ecological Analysis | 2.1.3 |
EcoEnsemble A General Framework for Combining Ecosystem Models | 1.1.0 |
Ecohydmod Ecohydrological Modelling | 1.0.0 |
EcoIndR Ecological Indicators | 2.0 |
ECoL Complexity Measures for Supervised Problems | 0.3.0 |
ecolMod "A Practical Guide to Ecological Modelling - Using R as a Simulation Platform" | 1.2.6.4 |
ecolottery Coalescent-Based Simulation of Ecological Communities | 1.0.0 |
ecolRxC Ecological Inference of RxC Tables by Latent Structure Approaches | 0.1.1-10 |
ecolTest Community Ecology Tests | 0.0.1 |
EconAndProdEfficiency Economic and Production Efficiency | 0.1.0 |
EconDemand General Analysis of Various Economics Demand Systems | 1.0 |
econet Estimation of Parameter-Dependent Network Centrality Measures | 1.0.0.1 |
EcoNetGen Simulate and Sample from Ecological Interaction Networks | 0.2.4 |
econetwork Analyzing Ecological Networks | 0.7.0 |
EconGeo Computing Key Indicators of the Spatial Distribution of Economic Activities | 2.0 |
economiccomplexity Computational Methods for Economic Complexity | 2.0.0 |
econullnetr Null Model Analysis for Ecological Networks | 0.2.1 |
ecopower Power Estimates and Equivalence Testing for Multivariate Data | 0.2.0 |
ecoreg Ecological Regression using Aggregate and Individual Data | 0.2.5 |
ecoregime Analysis of Ecological Dynamic Regimes | 0.2.0 |
ecorest Conducts Analyses Informing Ecosystem Restoration Decisions | 2.0.0 |
ecos Economic Statistics System of the Bank of Korea | 0.1.6 |
ecosim Toolbox for Aquatic Ecosystem Modeling | 1.3-4 |
ECOSolveR Embedded Conic Solver in R | 0.5.5 |
ecospace Simulating Community Assembly and Ecological Diversification Using Ecospace Frameworks | 1.4.2 |
ecospat Spatial Ecology Miscellaneous Methods | 4.1.1 |
ecostate State-Space Mass-Balance Model for Marine Ecosystems | 0.2.0 |
ecostats Code and Data Accompanying the Eco-Stats Text (Warton 2022) | 1.2.1 |
ecostatscale Statistical Scaling Functions for Ecological Systems | 1.1 |
EcotoneFinder Characterising and Locating Ecotones and Communities | 0.2.3 |
ecotox Analysis of Ecotoxicology | 1.4.4 |
ecotoxicology Methods for Ecotoxicology | 1.0.1 |
ECOTOXr Download and Extract Data from US EPA's ECOTOX Database | 1.1.1 |
ecotraj Ecological Trajectory Analysis | 0.1.1 |
EcoTroph An Implementation of the EcoTroph Ecosystem Modelling Approach | 1.6.1 |
ecoval Procedures for Ecological Assessment of Surface Waters | 1.2.9 |
EcoVirtual Simulation of Ecological Models | 1.1 |
ecp Non-Parametric Multiple Change-Point Analysis of Multivariate Data | 3.1.6 |
ecpc Flexible Co-Data Learning for High-Dimensional Prediction | 3.1.1 |
ecpdist Extended Chen-Poisson Lifetime Distribution | 0.2.1 |
ecr Evolutionary Computation in R | 2.1.1 |
ectotemp Quantitative Estimates of Small Ectotherm Temperature Regulation Effectiveness | 0.2.0 |
ECTSVR Cointegration Based Support Vector Regression Model | 0.1.0 |
ECTTDNN Cointegration Based Timedelay Neural Network Model | 0.1.0 |
Ecume Equality of 2 (or k) Continuous Univariate and Multivariate Distributions | 0.9.2 |
eCV Enhanced Coefficient of Variation and IDR Extensions for Reproducibility Assessment | 0.0.2 |
ed50 Estimate ED50 and Its Confidence Interval | 0.1.1 |
ed50simulation Estimate ED50 and Its Confidence Interval | 0.1.1 |
EDA Energy Decomposition Analysis | 1.3 |
eda4treeR Experimental Design and Analysis for Tree Improvement | 1.1.0 |
edbuildmapr Download School District Geospatial Data, Perform Spatial Analysis, and Create Formatted Exportable Maps | 0.3.1 |
EDCimport Import Data from EDC Software | 0.5.2 |
edcpR Ecological Data Collection and Processing Package | 1.0.1 |
eddington Compute a Cyclist's Eddington Number | 4.2.0 |
edeaR Exploratory and Descriptive Event-Based Data Analysis | 0.9.4 |
edecob Event Detection Using Confidence Bounds | 1.2.2 |
edf Read Data from European Data Format (EDF and EDF+) Files | 1.0.0 |
edfReader Reading EDF(+) and BDF(+) Files | 1.2.1 |
EDFtest Goodness of Fit Based on Empirical Distribution Function | 0.1.0 |
edfun Creating Empirical Distribution Functions | 0.2.0 |
edgar Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate Filings | 2.0.7 |
edgarWebR SEC Filings Access | 1.1.0 |
edgebundle Algorithms for Bundling Edges in Networks and Visualizing Flow and Metro Maps | 0.4.2 |
edgebundleR Circle Plot with Bundled Edges | 0.1.4 |
edgeCorr Spatial Edge Correction | 1.0 |
edgedata Datasets that Support the EDGE Server DIY Logic | 0.2.0 |
edgeR | 4.4.1 |
edibble Encapsulating Elements of Experimental Design | 1.1.1 |
ediblecity Modeling Urban Agriculture at City Scale | 0.2.1 |
edina Bayesian Estimation of an Exploratory Deterministic Input, Noisy and Gate Model | 0.1.1 |
EDISON Network Reconstruction and Changepoint Detection | 1.1.1 |
editbl 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny' | 1.0.5 |
editData 'RStudio' Addin for Editing a 'data.frame' | 0.1.8 |
eDITH Model Transport of Environmental DNA in River Networks | 1.0.0 |
editrules Parsing, Applying, and Manipulating Data Cleaning Rules | 2.9.5 |
EDIutils An API Client for the Environmental Data Initiative Repository | 1.0.3 |
edl Toolbox for Error-Driven Learning Simulations with Two-Layer Networks | 1.1 |
edlibR R Integration for Edlib, the C/C++ Library for Exact Pairwise Sequence Alignment using Edit (Levenshtein) Distance | 1.0.2 |
eDMA Dynamic Model Averaging with Grid Search | 1.5-3 |
edmcr Euclidean Distance Matrix Completion Tools | 0.2.0 |
edmdata Data Sets for Psychometric Modeling | 1.3.0 |
EDMeasure Energy-Based Dependence Measures | 1.2.0 |
eDNAjoint Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework | 0.2 |
EDNE.EQ Implements the EDNE-Test for Equivalence | 1.0 |
EDOIF Empirical Distribution Ordering Inference Framework (EDOIF) | 0.1.3 |
EDOtrans Euclidean Distance-Optimized Data Transformation | 0.2.5 |
edstan Stan Models for Item Response Theory | 1.0.6 |
EdSurvey Analysis of NCES Education Survey and Assessment Data | 4.0.7 |
educationdata Retrieve Records from the Urban Institute's Education Data Portal API | 0.1.3 |
educineq Compute and Decompose Inequality in Education | 0.1.0 |
edwards97 Langmuir Semi-Empirical Coagulation Model | 0.1.1 |
EEAaq Handle Air Quality Data from the European Environment Agency Data Portal | 0.0.3 |
eefAnalytics Robust Analytical Methods for Evaluating Educational Interventions using Randomised Controlled Trials Designs | 1.1.3 |
eegkit Toolkit for Electroencephalography Data | 1.0-4 |
eegkitdata Electroencephalography Toolkit Datasets | 1.1 |
EEM Read and Preprocess Fluorescence Excitation-Emission Matrix (EEM) Data | 1.1.1 |
eemdARIMA EEMD Based Auto Regressive Integrated Moving Average Model | 0.1.0 |
EEMDelm Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model | 0.1.1 |
EEMDlstm EEMD Based LSTM Model for Time Series Forecasting | 0.1.0 |
EEMDSVR Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model | 0.1.0 |
eemdTDNN EEMD and Its Variant Based Time Delay Neural Network Model | 0.1.0 |
EEML Ensemble Explainable Machine Learning Models | 0.1.1 |
eemR Tools for Pre-Processing Emission-Excitation-Matrix (EEM) Fluorescence Data | 1.0.1 |
eeptools Convenience Functions for Education Data | 1.2.5 |
eesim Simulate and Evaluate Time Series for Environmental Epidemiology | 0.1.0 |
EESPCA Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA) | 0.7.0 |
ef Modelling Framework for the Estimation of Salmonid Abundance | 1.2.0 |
EFA.dimensions Exploratory Factor Analysis Functions for Assessing Dimensionality | 0.1.8.4 |
EFA.MRFA Dimensionality Assessment Using Minimum Rank Factor Analysis | 1.1.2 |
EFAfactors Determining the Number of Factors in Exploratory Factor Analysis | 1.1.1 |
EFAtools Fast and Flexible Implementations of Exploratory Factor Analysis Tools | 0.4.4 |
EFAutilities Utility Functions for Exploratory Factor Analysis | 2.1.3 |
efdm Simulate Forest Resources with the European Forestry Dynamics Model | 0.2.1 |
EFDR Wavelet-Based Enhanced FDR for Detecting Signals from Complete or Incomplete Spatially Aggregated Data | 1.3 |
eff2 Efficient Least Squares for Total Causal Effects | 1.0.2 |
effClust Calculate Effective Number of Clusters for a Linear Model | 0.8.0 |
EffectLiteR Average and Conditional Effects | 0.5-1 |
effectplots Effect Plots | 0.2.0 |
effectR Predicts Oomycete Effectors | 1.0.2 |
effects Effect Displays for Linear, Generalized Linear, and Other Models | 4.2-2 |
effectsize Indices of Effect Size | 1.0.0 |
effectsizescr Indices for Single-Case Research | 0.1.0 |
EffectStars Visualization of Categorical Response Models | 1.9-1 |
EffectStars2 Effect Stars | 0.1-3 |
EffectTreat Prediction of Therapeutic Success | 1.1 |
EfficientMaxEigenpair Efficient Initials for Computing the Maximal Eigenpair | 0.1.4 |
efflog The Causal Effects for a Causal Loglinear Model | 1.0 |
effsize Efficient Effect Size Computation | 0.8.1 |
eFRED Fetch Data from the Federal Reserve Economic Database | 0.1.0 |
EFS Tool for Ensemble Feature Selection | 1.0.3 |
ega Error Grid Analysis | 2.0.0 |
EGAnet Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics | 2.1.0 |
egcm Engle-Granger Cointegration Models | 1.0.13 |
egg Extensions for 'ggplot2': Custom Geom, Custom Themes, Plot Alignment, Labelled Panels, Symmetric Scales, and Fixed Panel Size | 0.4.5 |
eggCounts Hierarchical Modelling of Faecal Egg Counts | 2.4 |
eglhmm Extended Generalised Linear Hidden Markov Models | 0.1-3 |
EGM Evaluating Cardiac Electrophysiology Signals | 0.1.0 |
EgoCor Simple Presentation of Estimated Exponential Semi-Variograms | 1.2.0 |
egor Import and Analyse Ego-Centered Network Data | 1.24.2 |
EGRET Exploration and Graphics for RivEr Trends | 3.0.10 |
EGRETci Exploration and Graphics for RivEr Trends Confidence Intervals | 2.0.4 |
EGRNi Ensemble Gene Regulatory Network Inference | 0.1.6 |
eGST Leveraging eQTLs to Identify Individual-Level Tissue of Interest for a Complex Trait | 1.0.0 |
eha Event History Analysis | 2.11.5 |
ehaGoF Calculates Goodness of Fit Statistics | 0.1.1 |
eHDPrep Quality Control and Semantic Enrichment of Datasets | 1.3.3 |
ehelp Enhanced Help to Enable "Docstring"-Comments in Users Functions | 1.2.1 |
eHOF Extended HOF (Huisman-Olff-Fresco) Models | 1.16 |
EHR Electronic Health Record (EHR) Data Processing and Analysis Tool | 0.4-11 |
EHRtemporalVariability Delineating Temporal Dataset Shifts in Electronic Health Records | 1.2.1 |
ehymet Methodologies for Functional Data Based on the Epigraph and Hypograph Indices | 0.1.1 |
ei Ecological Inference | 1.3-3 |
ei.Datasets Real Datasets for Assessing Ecological Inference Algorithms | 0.0.1-3 |
eia API Wrapper for U.S. Energy Information Administration ('EIA') Open Data | 0.4.2 |
EIAapi Query Data from the 'EIA' API | 0.1.2 |
eiCircles Ecological Inference of RxC Tables by Overdispersed-Multinomial Models | 0.0.1-7 |
eicm Explicit Interaction Community Models | 1.0.3 |
eider Declarative Feature Extraction from Tabular Data Records | 1.0.0 |
EIEntropy Ecological Inference Applying Entropy | 0.0.1.3 |
eiExpand Utilities for Expanding Functionality of 'eiCompare' | 1.0.5 |
eigenmodel Semiparametric Factor and Regression Models for Symmetric Relational Data | 1.11 |
EigenR Complex Matrix Algebra with 'Eigen' | 1.3.0 |
eikosograms The Picture of Probability | 0.1.1 |
eimpute Efficiently Impute Large Scale Incomplete Matrix | 0.2.4 |
einet Effective Information and Causal Emergence | 0.1.0 |
einsum Einstein Summation | 0.1.2 |
eiopaR Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA | 0.1.1 |
eiPack Ecological Inference and Higher-Dimension Data Management | 0.2-2 |
eirm Explanatory Item Response Modeling for Dichotomous and Polytomous Items | 0.5 |
eive An Algorithm for Reducing Errors-in-Variable Bias in Simple and Multiple Linear Regressions | 3.1.3 |
eivtools Measurement Error Modeling Tools | 0.1-8 |
EIX Explain Interactions in 'XGBoost' | 1.2.0 |
eixport Export Emissions to Atmospheric Models | 0.6.2 |
EKMCMC MCMC Procedures for Estimating Enzyme Kinetics Constants | 1.1.2 |
eks Tidy and Geospatial Kernel Smoothing | 1.0.6 |
EL Two-Sample Empirical Likelihood | 1.3 |
EL2Surv Empirical Likelihood (EL) for Comparing Two Survival Functions | 1.1 |
elaborator A 'shiny' Application for Exploring Laboratory Data | 1.3.4 |
elasdics Elastic Analysis of Sparse, Dense and Irregular Curves | 1.1.3 |
elasso Enhanced Least Absolute Shrinkage and Selection Operator Regression Model | 1.1 |
elastes Elastic Full Procrustes Means for Sparse and Irregular Planar Curves | 0.1.7 |
elastic General Purpose Interface to 'Elasticsearch' | 1.2.0 |
elasticnet Elastic-Net for Sparse Estimation and Sparse PCA | 1.3 |
ELCIC The Empirical Likelihood-Based Consistent Information Criterion | 0.2.1 |
elec Collection of Functions for Statistical Election Audits | 0.1.2.2 |
EleChemr Electrochemical Reactions Simulation | 1.2.0 |
elect Estimation of Life Expectancies Using Multi-State Models | 1.2 |
ElectDecomp Decomposition of Seats-to-Votes Distortion in Multimember Elections | 0.0.1-1 |
elections USA Presidential Elections Data | 1.0.1 |
elections.dtree Ranked Voting Election Audits with Dirichlet-Trees | 2.0.0 |
electionsBR R Functions to Download and Clean Brazilian Electoral Data | 0.5.0 |
electivity Algorithms for Electivity Indices | 1.0.2 |
electoral Allocating Seats Methods and Party System Scores | 0.1.3 |
elevatr Access Elevation Data from Various APIs | 0.99.0 |
ElevDistr Calculate the Distance to the Nearest Local Treeline | 1.0.9 |
elexr Load Associated Press Election Results with Elex | 1.0 |
elfDistr Kumaraswamy Complementary Weibull Geometric (Kw-CWG) Probability Distribution | 1.0.0 |
elgbd Empirical Likelihood for General Block Designs | 0.9.0 |
elhmc Sampling from a Empirical Likelihood Bayesian Posterior of Parameters Using Hamiltonian Monte Carlo | 1.2.1 |
ELISAtools ELISA Data Analysis with Batch Correction | 0.1.5 |
elisr Exploratory Likert Scaling | 0.1.1 |
eList List Comprehension and Tools | 0.2.0 |
elitism Equipment for Logarithmic and Linear Time Stepwise Multiple Hypothesis Testing | 1.1.1 |
Elja Linear, Logistic and Generalized Linear Models Regressions for the EnvWAS/EWAS Approach | 1.0.0 |
elliplot Ellipse Summary Plot of Quantiles | 1.3.0 |
ellipse Functions for Drawing Ellipses and Ellipse-Like Confidence Regions | 0.5.0 |
ellipsis Tools for Working with ... | 0.3.2 |
ElliptCopulas Inference of Elliptical Distributions and Copulas | 0.1.4.1 |
elliptic Weierstrass and Jacobi Elliptic Functions | 1.4-0 |
ellipticalsymmetry Elliptical Symmetry Tests | 0.1.2 |
elmNNRcpp The Extreme Learning Machine Algorithm | 1.0.4 |
ELMR Extreme Machine Learning (ELM) | 1.0 |
ELMSO Implementation of the Efficient Large-Scale Online Display Advertising Algorithm | 1.0.1 |
eLNNpairedCov Model-Based Gene Selection for Paired Data | 0.3.2 |
elo Ranking Teams by Elo Rating and Comparable Methods | 3.0.2 |
EloChoice Preference Rating for Visual Stimuli Based on Elo Ratings | 0.29.4 |
EloOptimized Optimized Elo Rating Method for Obtaining Dominance Ranks | 0.3.2 |
EloRating Animal Dominance Hierarchies by Elo Rating | 0.46.18 |
EloSteepness Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores | 0.5.0 |
elrm Exact Logistic Regression via MCMC | 1.2.5 |
elsa Entropy-Based Local Indicator of Spatial Association | 1.1-28 |
ELT Experience Life Tables | 1.7 |
eltr Utilise Catastrophe Model Event Loss Table Outputs | 0.1.0 |
ELYP Empirical Likelihood Analysis for the Cox Model and Yang-Prentice (2005) Model | 0.7-5 |
em Generic EM Algorithm | 1.0.0 |
EM.Fuzzy EM Algorithm for Maximum Likelihood Estimation by Non-Precise Information | 1.0 |
emailjsr 'emailjs' Support | 0.0.2 |
emailvalidation Client for the 'emailalvalidation.io' E-Mail Validation API | 0.1.0 |
EMAR Empirical Model Assessment | 1.0.0 |
EMAS Epigenome-Wide Mediation Analysis Study | 0.2.2 |
EMAtools Data Management Tools for Real-Time Monitoring/Ecological Momentary Assessment Data | 0.1.4 |
emayili Send Email Messages | 0.9.1 |
emBayes Robust Bayesian Variable Selection via Expectation-Maximization | 0.1.6 |
EMbC Expectation-Maximization Binary Clustering | 2.0.4 |
embed Extra Recipes for Encoding Predictors | 1.1.4 |
EmbedSOM Fast Embedding Guided by Self-Organizing Map | 2.1.2 |
embryogrowth Tools to Analyze the Thermal Reaction Norm of Embryo Growth | 9.5 |
EMC2 Bayesian Hierarchical Analysis of Cognitive Models of Choice | 2.1.0 |
EMCluster EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution | 0.2-16 |
EMD Empirical Mode Decomposition and Hilbert Spectral Analysis | 1.5.9 |
EMDANNhybrid Empirical Mode Decomposition Based Artificial Neural Network Model | 0.2.0 |
emdbook Support Functions and Data for "Ecological Models and Data" | 1.3.13 |
emdi Estimating and Mapping Disaggregated Indicators | 2.2.2 |
emdist Earth Mover's Distance | 0.3-3 |
EMDSVRhybrid Empirical Mode Decomposition Based Support Vector Regression Model | 0.2.0 |
emery Accuracy Statistic Estimation for Imperfect Gold Standards | 0.5.1 |
emg Exponentially Modified Gaussian (EMG) Distribution | 1.0.9 |
EMgaussian Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data | 0.2.1 |
emhawkes Exponential Multivariate Hawkes Model | 0.9.7 |
EmiR Evolutionary Minimizer for R | 1.0.4 |
emIRT EM Algorithms for Estimating Item Response Theory Models | 0.0.14 |
EmissV Tools for Create Emissions for Air Quality Models | 0.665.8.0 |
EmiStatR Emissions and Statistics in R for Wastewater and Pollutants in Combined Sewer Systems | 1.2.3.0 |
EMJMCMC Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox | 1.5.0 |
EML Read and Write Ecological Metadata Language Files | 2.0.6.1 |
emld Ecological Metadata as Linked Data | 0.5.1 |
EMLI Computationally Efficient Maximum Likelihood Identification of Linear Dynamical Systems | 0.2.0 |
EMMAgeo End-Member Modelling of Grain-Size Data | 0.9.7 |
emmeans Estimated Marginal Means, aka Least-Squares Means | 1.10.6 |
EMMIXgene A Mixture Model-Based Approach to the Clustering of Microarray Expression Data | 0.1.4 |
EMMIXmfa Mixture Models with Component-Wise Factor Analyzers | 2.0.14 |
EMMIXSSL Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism | 1.1.1 |
EMMLi A Maximum Likelihood Approach to the Analysis of Modularity | 0.0.3 |
EMMREML Fitting Mixed Models with Known Covariance Structures | 3.1 |
emoa Evolutionary Multiobjective Optimization Algorithms | 0.5-3 |
emoji Data and Function to Work with Emojis | 16.0.0 |
emojifont Emoji and Font Awesome in Graphics | 0.5.5 |
emon Tools for Environmental and Ecological Survey Design | 1.3.2 |
emov Eye Movement Analysis Package for Fixation and Saccade Detection | 0.1.1 |
EMP Expected Maximum Profit Classification Performance Measure | 2.0.5 |
EMpeaksR Conducting the Peak Fitting Based on the EM Algorithm | 0.3.1 |
emphatic Exploratory Analysis of Tabular Data using Colour Highlighting | 0.1.8 |
empichar Evaluates the Empirical Characteristic Function for Multivariate Samples | 1.0.1 |
EmpiricalBrownsMethod | 1.34.0 |
EmpiricalCalibration Routines for Performing Empirical Calibration of Observational Study Estimates | 3.1.3 |
emplik Empirical Likelihood Ratio for Censored/Truncated Data | 1.3-2 |
emplik2 Empirical Likelihood Ratio Test for Two-Sample U-Statistics with Censored Data | 1.33 |
emplikAUC Empirical Likelihood Ratio Test/Confidence Interval for AUC or pAUC | 0.4 |
ems Epimed Solutions Collection for Data Editing, Analysis, and Benchmark of Health Units | 1.3.11 |
EMSaov The Analysis of Variance with EMS | 2.3 |
EMSC Extended Multiplicative Signal Correction | 0.9.4 |
EMSNM EM Algorithm for Sigmoid Normal Model | 1.0 |
EMSS Some EM-Type Estimation Methods for the Heckman Selection Model | 1.1.1 |
emstreeR Tools for Fast Computing and Visualizing Euclidean Minimum Spanning Trees | 3.1.2 |
EMT Exact Multinomial Test: Goodness-of-Fit Test for Discrete Multivariate Data | 1.3.1 |
emulator Bayesian Emulation of Computer Programs | 1.2-24 |
emuR Main Package of the EMU Speech Database Management System | 2.5.0 |
EncDNA Encoding of Nucleotide Sequences into Numeric Feature Vectors | 1.0.2 |
eNchange Ensemble Methods for Multiple Change-Point Detection | 1.0 |
encode Represent Ordered Lists and Pairs as Strings | 0.3.6 |
EncompassTest Direct Multi-Step Forecast Based Comparison of Nested Models via an Encompassing Test | 0.22 |
encryptedRmd Encrypt Html Reports Using 'Libsodium' | 0.2.1 |
encryptr Easily Encrypt and Decrypt Data Frame/Tibble Columns or Files using RSA Public/Private Keys | 0.1.3 |
enderecobr Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer) | 0.3.0 |
endogeneity Recursive Two-Stage Models to Address Endogeneity | 2.1.3 |
endogenous Classical Simultaneous Equation Models | 1.0 |
endorse Bayesian Measurement Models for Analyzing Endorsement Experiments | 1.6.2 |
endoSwitch Endogenous Switching Regression Models | 1.0.0 |
endtoend Transmissions and Receptions in an End to End Network | 2.29 |
energy E-Statistics: Multivariate Inference via the Energy of Data | 1.7-12 |
EnergyOnlineCPM Distribution Free Multivariate Control Chart Based on Energy Test | 1.0 |
energyr Data Published by the United States Federal Energy Regulatory Commission | 0.1.3 |
enerscape Compute Energy Landscapes | 1.1.0 |
enetLTS Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression | 1.1.0 |
english Translate Integers into English | 1.2-6 |
EngrEcon Engineering Economics Analysis for Engineering Projects Cost Analysis | 1.0.0 |
engression Engression Modelling | 0.1.4 |
EngrExpt Data sets from "Introductory Statistics for Engineering<U+000a>Experimentation" | 0.1-8 |
ENMeval Automated Tuning and Evaluations of Ecological Niche Models | 2.0.4 |
enmpa Ecological Niche Modeling using Presence-Absence Data | 0.1.8 |
enmSdmX Species Distribution Modeling and Ecological Niche Modeling | 1.2.10 |
ENMTools Analysis of Niche Evolution using Niche and Distribution Models | 1.1.2 |
enpls Ensemble Partial Least Squares Regression | 6.1 |
EnrichDO a Global Weighted Model for Disease Ontology Enrichment Analysis | 0.1-1 |
EnrichIntersect Enrichment Analysis and Intersecting Sankey Diagram | 0.7 |
enrichplot | 1.26.3 |
enrichR Provides an R Interface to 'Enrichr' | 3.2 |
enrichwith Methods to Enrich R Objects with Extra Components | 0.3.1 |
EnsCat Clustering of Categorical Data | 1.1 |
EnsDb.Hsapiens.v75 | 2.99.0 |
ensembldb | 2.30.0 |
EnsembleBase Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling | 1.0.2 |
ensembleBMA Probabilistic Forecasting using Ensembles and Bayesian Model Averaging | 5.1.8 |
EnsembleCV Extensible Package for Cross-Validation-Based Integration of Base Learners | 0.8 |
ensembleMOS Ensemble Model Output Statistics | 0.8.2 |
EnsemblePCReg Extensible Package for Principal-Component-Regression-Based Heterogeneous Ensemble Meta-Learning | 1.1.4 |
EnsemblePenReg Extensible Classes and Methods for Penalized-Regression-Based Integration of Base Learners | 0.7 |
ensemblepp Ensemble Postprocessing Data Sets | 1.0-0 |
ensembleR Ensemble Models in R | 0.1.0 |
ensembleTax Ensemble Taxonomic Assignments of Amplicon Sequencing Data | 1.1.1 |
enshuman Human Gene Annotation Data from 'Ensembl' | 1.0.0 |
ensr Elastic Net SearcheR | 0.1.0 |
entropart Entropy Partitioning to Measure Diversity | 1.6-15 |
EntropicStatistics Functions Based on Entropic Statistics | 0.1.0 |
entropy Estimation of Entropy, Mutual Information and Related Quantities | 1.3.1 |
EntropyEstimation Estimation of Entropy and Related Quantities | 1.2.1 |
EntropyMCMC MCMC Simulation and Convergence Evaluation using Entropy and Kullback-Leibler Divergence Estimation | 1.0.4 |
entrymodels Estimate Entry Models | 0.2.1 |
envalysis Miscellaneous Functions for Environmental Analyses | 0.7.0 |
EnvCpt Detection of Structural Changes in Climate and Environment Time Series | 1.1.3 |
envDocument Document the R Working Environment | 2.4.1 |
enveomics.R Various Utilities for Microbial Genomics and Metagenomics | 1.9.1 |
envi Environmental Interpolation using Spatial Kernel Density Estimation | 1.0.0 |
enviGCMS GC/LC-MS Data Analysis for Environmental Science | 0.7.1 |
enviPat Isotope Pattern, Profile and Centroid Calculation for Mass Spectrometry | 2.6 |
envir Manage R Environments Better | 0.3.0 |
envirem Generation of ENVIREM Variables | 3.0 |
EnviroPRA2 Environmental Probabilistic Risk Assessment Tools | 1.0.1 |
envnames Keep Track of User-Defined Environment Names | 0.4.1 |
EnvNicheR Niche Estimation | 1.5 |
EnvNJ Whole Genome Phylogenies Using Sequence Environments | 0.1.3 |
envoutliers Methods for Identification of Outliers in Environmental Data | 1.1.0 |
envstat Configurable Reporting on your External Compute Environment | 0.0.3 |
EnvStats Package for Environmental Statistics, Including US EPA Guidance | 3.0.0 |
envvar Make Working with Environment Variables Easier and More Consistent | 0.1.2 |
eoa3 Wildlife Mortality Estimator for Low Fatality Rates and Imperfect Detection | 1.0.0.2 |
eodhd Official 'eodhd' API R Financial Library | 1.0.4 |
eodhdR2 Official R API for Fetching Data from 'EODHD' | 0.5.1 |
eoffice Export or Graph and Tables to 'Microsoft' Office and Import Figures and Tables | 0.2.2 |
eoR Data Management Package (Exposure and Occurrence Data in R) | 0.4.0 |
epade Easy Plots | 0.5.1 |
epandist Statistical Functions for the Censored and Uncensored Epanechnikov Distribution | 1.1.1 |
epanet2toolkit Call 'EPANET' Functions to Simulate Pipe Networks | 1.0.5 |
epanetReader Read Epanet Files into R | 0.7.3 |
epca Exploratory Principal Component Analysis | 1.1.0 |
ePCR Ensemble Penalized Cox Regression for Survival Prediction | 0.11.0 |
epe4md EPE's 4MD Model to Forecast the Adoption of Distributed Generation | 0.1.4 |
eph Argentina's Permanent Household Survey Data and Manipulation Utilities | 1.0.2 |
Epi Statistical Analysis in Epidemiology | 2.58 |
epibasix Elementary Epidemiological Functions for Epidemiology and Biostatistics | 1.5 |
epicalc Epidemiological calculator | 2.15.1.0 |
epicasting Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting | 0.1.0 |
epichains Simulating and Analysing Transmission Chain Statistics Using Branching Process Models | 0.1.1 |
epiCleanr A Tidy Solution for Epidemiological Data | 0.2.0 |
epicmodel Causal Modeling in Epidemiology | 0.2.0 |
epiCo Statistical and Viz Tools for Vector-Borne Diseases in Colombia | 1.0.0 |
epicontacts Handling, Visualisation and Analysis of Epidemiological Contacts | 1.1.4 |
EpiContactTrace Epidemiological Tool for Contact Tracing | 0.18.0 |
EpiCurve Plot an Epidemic Curve | 2.4-2 |
epidata Tools to Retrieve Economic Policy Institute Data Library Extracts | 0.4.0 |
epidatr Client for Delphi's 'Epidata' API | 1.2.0 |
epiDisplay Epidemiological Data Display Package | 3.5.0.2 |
epidm UK Epidemiological Data Management | 1.0.4 |
EpiDynamics Dynamic Models in Epidemiology | 0.3.1 |
EpiEstim Estimate Time Varying Reproduction Numbers from Epidemic Curves | 2.2-4 |
epifitter Analysis and Simulation of Plant Disease Progress Curves | 0.3.0 |
epiflows Predicting Disease Spread from Flow Data | 0.2.1 |
EpiForsk Code Sharing at the Department of Epidemiological Research at Statens Serum Institut | 0.1.1 |
epigraphdb Interface Package for the 'EpiGraphDB' Platform | 0.2.3 |
epigrowthfit Nonlinear Mixed Effects Models of Epidemic Growth | 0.15.3 |
EpiILM Spatial and Network Based Individual Level Models for Epidemics | 1.5.2 |
EpiILMCT Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics | 1.1.7 |
EpiInvert Variational Techniques in Epidemiology | 0.3.1 |
epikit Miscellaneous Helper Tools for Epidemiologists | 0.1.6 |
epilogi The 'epilogi' Variable Selection Algorithm for Continuous Data | 1.1 |
EpiLPS A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters | 1.3.0 |
epimdr Functions and Data for "Epidemics: Models and Data in R" | 0.6-5 |
epimdr2 Functions and Data for "Epidemics: Models and Data in R (2nd Edition)" | 1.0-9 |
EpiModel Mathematical Modeling of Infectious Disease Dynamics | 2.5.0 |
epinet Epidemic/Network-Related Tools | 2.1.11 |
epinetr Epistatic Network Modelling with Forward-Time Simulation | 0.96 |
EpiNow2 Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters | 1.6.1 |
epiomics Analysis of Omics Data in Observational Studies | 1.1.0 |
epiphy Analysis of Plant Disease Epidemics | 0.5.0 |
epiR Tools for the Analysis of Epidemiological Data | 2.0.78 |
EpiReport Epidemiological Report | 1.0.2 |
episcan Scan Pairwise Epistasis | 0.0.1 |
EpiSemble Ensemble Based Machine Learning Approach for Predicting Methylation States | 0.1.1 |
episensr Basic Sensitivity Analysis of Epidemiological Results | 1.3.0 |
EpiSignalDetection Signal Detection Analysis | 0.1.2 |
EpiStats Tools for Epidemiologists | 1.6-2 |
EpistemicGameTheory Constructing an Epistemic Model for the Games with Two Players | 0.1.2 |
epitab Flexible Contingency Tables for Epidemiology | 0.2.2 |
EpiTest Test for Gene x Gene Interactions in Bi-Parental Populations | 1.0.0 |
epitools Epidemiology Tools | 0.5-10.1 |
epitrix Small Helpers and Tricks for Epidemics Analysis | 0.4.0 |
epitweetr Early Detection of Public Health Threats from 'Twitter' Data | 2.2.16 |
epiworldR Fast Agent-Based Epi Models | 0.3-2 |
epiworldRShiny A 'shiny' Wrapper of the R Package 'epiworldR' | 0.1-0 |
epizootic Spatially Explicit Population Models of Disease Transmission in Wildlife | 1.0.0 |
EPLSIM Partial Linear Single Index Models for Environmental Mixture Analysis | 0.1.0 |
eplusr A Toolkit for Using Whole Building Simulation Program 'EnergyPlus' | 0.16.2 |
eply Apply a Function Over Expressions | 0.1.2 |
epm EcoPhyloMapper | 1.1.3 |
epmrob Robust Estimation of Probit Models with Endogeneity | 0.1 |
epo Enhanced Portfolio Optimization (EPO) | 0.1.0 |
epoc Endogenous Perturbation Analysis of Cancer | 0.2.6-1.1 |
epocakir Clinical Coding of Patients with Kidney Disease | 0.9.9 |
eponge Keep Your Environment Clean | 0.1.0 |
epos Epilepsy Ontologies' Similarities | 1.1 |
epoxy String Interpolation for Documents, Reports and Apps | 1.0.0 |
epr Easy Polynomial Regression | 3.0 |
epsiwal Exact Post Selection Inference with Applications to the Lasso | 0.1.0 |
EPT Ensemble Patch Transform, Visualization and Decomposition | 0.7.6 |
epubr Read EPUB File Metadata and Text | 0.6.5 |
epwshiftr Create Future 'EnergyPlus' Weather Files using 'CMIP6' Data | 0.1.4 |
EPX Ensemble of Phalanxes | 1.0.4 |
epxToR Import 'Epidata' XML Files '.epx' | 0.4-1 |
eq5d Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores | 0.15.5 |
eq5dsuite Manipulating and Analysing EQ-5d Data | 1.0.0 |
EQL Extended-Quasi-Likelihood-Function (EQL) | 1.0-1 |
equalCovs Testing the Equality of Two Covariance Matrices | 1.0 |
Equalden.HD Testing the Equality of a High Dimensional Set of Densities | 1.2.1 |
EQUALrepeat Algorithm Driven Time Series Analysis for Researchers without Coding Skills | 0.4.0 |
EQUALSTATS Algorithm Driven Statistical Analysis for Researchers without Coding Skills | 0.5.0 |
equaltestMI Examine Measurement Invariance via Equivalence Testing and Projection Method | 0.6.1 |
equatags Equations to 'XML' | 0.2.1 |
equate Observed-Score Linking and Equating | 2.0.8 |
equateIRT IRT Equating Methods | 2.5.1 |
equateMultiple Equating of Multiple Forms | 1.1.1 |
equatiomatic Transform Models into 'LaTeX' Equations | 0.3.3 |
equiBSPD Equivalent Estimation Balanced Split Plot Designs | 0.1.0 |
equil2 Calculate Urinary Saturation with the EQUIL2 Algorithm | 1.0.0 |
EquiSurv Modeling, Confidence Intervals and Equivalence of Survival Curves | 0.1.0 |
EquiTrends Equivalence Testing for Pre-Trends in Difference-in-Differences Designs | 1.0.0 |
equivalence Provides Tests and Graphics for Assessing Tests of Equivalence | 0.7.2 |
equivalenceTest Equivalence Test for the Means of Two Normal Distributions | 0.0.1.1 |
EQUIVNONINF Testing for Equivalence and Noninferiority | 1.0.2 |
equivUMP Uniformly Most Powerful Invariant Tests of Equivalence | 0.1.1 |
ER Effect + Residual Modelling | 1.1.1 |
era Year-Based Time Scales | 0.5.0 |
erah Automated Spectral Deconvolution, Alignment, and Metabolite Identification in GC/MS-Based Untargeted Metabolomics | 2.0.1 |
eratosthenes Archaeological Synchronism | 0.0.2 |
erboost Nonparametric Multiple Expectile Regression via ER-Boost | 1.4 |
ercv Fitting Tails by the Empirical Residual Coefficient of Variation | 1.0.1 |
ERDbuilder Entity Relationship Diagrams Builder | 1.0.0 |
erer Empirical Research in Economics with R | 4.0 |
erfe Fits Expectile Regression for Panel Fixed Effect Model | 0.0.1 |
ergm Fit, Simulate and Diagnose Exponential-Family Models for Networks | 4.7.5 |
ergm.count Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges | 4.1.2 |
ergm.ego Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data | 1.1.1 |
ergm.multi Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks | 0.2.1.1 |
ergm.rank Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data | 4.1.1 |
ergMargins Process Analysis for Exponential Random Graph Models | 1.3 |
ergmgp Tools for Modeling ERGM Generating Processes | 0.1-2 |
ergmharris Local Health Department network data set | 1.0 |
ergmito Exponential Random Graph Models for Small Networks | 0.3-1 |
erify Check Arguments and Generate Readable Error Messages | 0.6.0 |
eRm Extended Rasch Modeling | 1.0-6 |
ern Effective Reproduction Number Estimation | 2.0.0 |
ERP Significance Analysis of Event-Related Potentials Data | 2.2 |
erp.easy Event-Related Potential (ERP) Data Exploration Made Easy | 1.1.0 |
ERPeq Probabilistic Hazard Assessment | 0.1.0 |
ERPM Exponential Random Partition Models | 0.2.0 |
err Customizable Object Sensitive Messages | 0.2.0 |
errorist Automatically Search Errors or Warnings | 0.1.2 |
errorlocate Locate Errors with Validation Rules | 1.1.1 |
errors Uncertainty Propagation for R Vectors | 0.4.2 |
errum Exploratory Reduced Reparameterized Unified Model Estimation | 0.0.3 |
ERSA Exploratory Regression 'Shiny' App | 0.1.4 |
eRTG3D Empirically Informed Random Trajectory Generation in 3-D | 0.7.0 |
es.dif Compute Effect Sizes of the Difference | 1.0.2 |
esaBcv Estimate Number of Latent Factors and Factor Matrix for Factor Analysis | 1.2.1.1 |
esaddle Extended Empirical Saddlepoint Density Approximations | 0.0.7 |
esaps Indicators of Electoral Systems and Party Systems | 0.2.2 |
esback Expected Shortfall Backtesting | 0.3.1 |
esc Effect Size Computation for Meta Analysis | 0.5.1 |
escalation A Modular Approach to Dose-Finding Clinical Trials | 0.1.10 |
esci Estimation Statistics with Confidence Intervals | 1.0.5 |
EScvtmle Experiment-Selector CV-TMLE for Integration of Observational and RCT Data | 0.0.2 |
esDesign Adaptive Enrichment Designs with Sample Size Re-Estimation | 1.0.3 |
eSDM Ensemble Tool for Predictions from Species Distribution Models | 0.4.4 |
eseis Environmental Seismology Toolbox | 0.8.0 |
eselect Adaptive Clinical Trial Designs with Endpoint Selection and Sample Size Reassessment | 1.1 |
esem Exploratory Structural Equation Modeling ESEM | 2.0.0 |
esemifar Smoothing Long-Memory Time Series | 2.0.1 |
ESG A Package for Asset Projection | 1.3 |
eshrink Shrinkage for Effect Estimation | 0.1.2 |
eSIR Extended State-Space SIR Models | 0.4.2 |
esmisc Misc Functions of Eduard Szöcs | 0.0.3 |
esmprep Data Preparation During and After the Use of the Experience Sampling Methodology (ESM) | 0.2.0 |
esmtools Preprocessing Experience Sampling Method (ESM) Data | 1.0.1 |
espadon Easy Study of Patient DICOM Data in Oncology | 1.9.0 |
esquisse Explore and Visualize Your Data Interactively | 2.0.1 |
esreg Joint Quantile and Expected Shortfall Regression | 0.6.2 |
ess Efficient Stepwise Selection in Decomposable Models | 1.1.2 |
essentials Essential Functions not Included in Base R | 0.1.0 |
essHist The Essential Histogram | 1.2.2 |
essurvey Download Data from the European Social Survey on the Fly | 1.0.8 |
estadistica Fundamentos De Estadistica Descriptiva e Inferencial | 0.2.3 |
estatapi R Interface to e-Stat API | 0.4.0 |
EstCRM Calibrating Parameters for the Samejima's Continuous IRT Model | 1.6 |
ESTER Efficient Sequential Testing with Evidence Ratios | 0.2.0 |
estimability Tools for Assessing Estimability of Linear Predictions | 1.5.1 |
EstimateGroupNetwork Perform the Joint Graphical Lasso and Selects Tuning Parameters | 0.3.1 |
estimateW Estimation of Spatial Weight Matrices | 0.0.1 |
EstimationTools Maximum Likelihood Estimation for Probability Functions from Data Sets | 4.0.0 |
estimators Parameter Estimation | 0.8.5 |
estimatr Fast Estimators for Design-Based Inference | 1.0.4 |
EstimDiagnostics Diagnostic Tools and Unit Tests for Statistical Estimators | 0.0.3 |
estimraw Estimation of Four-Fold Table Cell Frequencies (Raw Data) from Effect Size Measures | 1.0.0 |
estmeansd Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis | 1.0.1 |
EstMix Tumor Clones Percentage Estimations | 1.0.1 |
estprod Estimation of Production Functions | 1.2 |
esvis Visualization and Estimation of Effect Sizes | 0.3.1 |
et.nwfva Forest Yield Tables for Northwest Germany and their Application | 0.1.1 |
etable Easy Table | 1.3.1 |
ETAS Modeling Earthquake Data Using 'ETAS' Model | 0.6.1.1 |
ETASbootstrap Bootstrap Confidence Interval Estimation for 'ETAS' Model Parameters | 0.2.0 |
etasFLP Mixed FLP and ML Estimation of ETAS Space-Time Point Processes for Earthquake Description | 2.2.2 |
ETC Equivalence to Control | 1.5 |
ethnobotanyR Calculate Quantitative Ethnobotany Indices | 0.1.9 |
EthSEQ Ethnicity Annotation from Whole-Exome and Targeted Sequencing Data | 3.0.2 |
etl Extract-Transform-Load Framework for Medium Data | 0.4.1 |
ETLUtils Utility Functions to Execute Standard Extract/Transform/Load Operations (using Package 'ff') on Large Data | 1.5 |
etm Empirical Transition Matrix | 1.1.1 |
etrader 'ETRADE' API Interface for R | 0.1.5 |
etree Classification and Regression with Structured and Mixed-Type Data | 0.1.0 |
ETRep Analysis of Elliptical Tubes Under the Relative Curvature Condition | 1.1.0 |
etrm Energy Trading and Risk Management | 1.0.1 |
etrunct Computes Moments of Univariate Truncated t Distribution | 0.1 |
etwfe Extended Two-Way Fixed Effects | 0.4.0 |
EuclideanSD An Euclidean View of Center and Spread | 0.1.0 |
Euclimatch Euclidean Climatch Algorithm | 1.0.2 |
eudract Creates Safety Results Summary in XML to Upload to EudraCT, or ClinicalTrials.gov | 1.0.2 |
eufmdis.adapt Analyse 'EuFMDiS' Output Files via a Shiny App | 0.1.0 |
EUfootball Football Match Data of European Leagues | 0.0.1 |
eulerian eulerian: A package to find eulerian paths from graphs | 1.0 |
eulerr Area-Proportional Euler and Venn Diagrams with Ellipses | 7.0.2 |
eummd Efficient Univariate Maximum Mean Discrepancy | 0.2.0 |
eunis.habitats EUNIS Habitat Classification | 0.1.0 |
Eunomia Standard Dataset Manager for Observational Medical Outcomes Partnership Common Data Model Sample Datasets | 2.0.0 |
eurlex Retrieve Data on European Union Law | 0.4.8 |
eurocordexr Makes it Easier to Work with Daily 'netCDF' from EURO-CORDEX RCMs | 0.2.4 |
eurodata Fast and Easy Eurostat Data Import and Search | 1.7.0 |
euroleaguer 'Euroleague basketball API' | 0.2.0 |
Euronext Retrieve Historical Data of Companies Listed on the 'Euronext' Stock Exchange | 2.0.2 |
europeanaR Interact with Metadata Records and Media on the Europeana Repository | 0.1.0 |
europepmc R Interface to the Europe PubMed Central RESTful Web Service | 0.4.3 |
europop Historical Populations of European Cities, 1500-1800 | 0.3.1 |
EurosarcBayes Bayesian Single Arm Sample Size Calculation Software | 1.1 |
eurostat Tools for Eurostat Open Data | 4.0.0 |
eva Extreme Value Analysis with Goodness-of-Fit Testing | 0.2.6 |
eva3dm Evaluation of 3D Meteorological and Air Quality Models | 0.99.1 |
evabic Evaluation of Binary Classifiers | 0.1.1 |
Evacluster Evaluation Clustering Methods for Disease Subtypes Diagnosis | 0.1.0 |
evalITR Evaluating Individualized Treatment Rules | 1.0.0 |
evalR Evaluation of Unverified Code | 0.0.1 |
evaluate Parsing and Evaluation Tools that Provide More Details than the Default | 1.0.1 |
EvaluateCore Quality Evaluation of Core Collections | 0.1.3 |
EvaluationMeasures Collection of Model Evaluation Measure Functions | 1.1.0 |
EValue Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses | 4.1.3 |
evapoRe Evapotranspiration R Recipes | 1.0.0 |
Evapotranspiration Modelling Actual, Potential and Reference Crop Evapotranspiration | 1.16 |
EVchargcost Computes and Plot the Optimal Charging Strategy for Electric Vehicles | 0.1.0 |
evclass Evidential Distance-Based Classification | 2.0.2 |
evclust Evidential Clustering | 2.0.3 |
EvCombR Evidence Combination in R | 0.1-4 |
evd Functions for Extreme Value Distributions | 2.3-7.1 |
evdbayes Bayesian Analysis in Extreme Value Theory | 1.1-3 |
evenBreak A Posteriori Probs of Suits Breaking Evenly Across Four Hands | 1.0 |
event Event History Procedures and Models | 1.1.1 |
eventdataR Event Data Repository | 0.3.1 |
EventDetectGUI Graphical User Interface for the 'EventDetectR' Package | 0.3.0 |
EventDetectR Event Detection Framework | 0.3.5 |
eventglm Regression Models for Event History Outcomes | 1.2.2 |
eventInterval Sequential Event Interval Analysis | 1.3 |
eventPred Event Prediction | 0.2.6 |
EventPredInCure Event Prediction Including Cured Population | 1.0 |
eventstream Streaming Events and their Early Classification | 0.1.1 |
eventstudyr Estimation and Visualization of Linear Panel Event Studies | 1.1.3 |
eventTrack Event Prediction for Time-to-Event Endpoints | 1.0.3 |
EventWinRatios Event-Specific Win Ratios for Terminal and Non-Terminal Events | 1.0.0 |
evgam Generalised Additive Extreme Value Models | 1.0.0 |
EVI Epidemic Volatility Index as an Early-Warning Tool | 0.2.0-0 |
evian Evidential Analysis of Genetic Association Data | 2.1.0 |
evidence Analysis of Scientific Evidence Using Bayesian and Likelihood Methods | 0.8.10 |
evidenceFactors Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies | 1.8 |
EvidenceSynthesis Synthesizing Causal Evidence in a Distributed Research Network | 0.5.0 |
evident Evidence Factors in Observational Studies | 1.0.4 |
EviewsR A Seamless Integration of 'EViews' and R | 0.1.6 |
evilDice Test Dice Sets for Intransitive Properties | 1.0 |
evinf Inference with Extreme Value Inflated Count Data | 0.8.10 |
evir Extreme Values in R | 1.7-4 |
evitaicossa Antiassociative Algebra | 0.0-1 |
evmix Extreme Value Mixture Modelling, Threshold Estimation and Boundary Corrected Kernel Density Estimation | 2.12 |
evobiR Comparative and Population Genetic Analyses | 1.1 |
evola Evolutionary Algorithm | 1.0.2 |
evolMap Dynamic and Interactive Maps | 1.2.33 |
evolqg Evolutionary Quantitative Genetics | 0.3-4 |
EvolutionaryGames Important Concepts of Evolutionary Game Theory | 0.1.2 |
evolvability Calculation of Evolvability Parameters | 2.0.0 |
Evomorph Evolutionary Morphometric Simulation | 0.9 |
evoper Evolutionary Parameter Estimation for 'Repast Simphony' Models | 0.5.0 |
EvoPhylo Pre- And Postprocessing of Morphological Data from Relaxed Clock Bayesian Phylogenetics | 0.3.2 |
evoTS Analyses of Evolutionary Time-Series | 1.0.3 |
evprof Electric Vehicle Charging Sessions Profiling and Modelling | 1.1.2 |
evreg Evidential Regression | 1.1.1 |
evsim Electric Vehicle Charging Sessions Simulation | 1.6.0 |
evt0 Mean of Order P, Peaks over Random Threshold Hill and High Quantile Estimates | 1.1.5 |
evtclass Extreme Value Theory for Open Set Classification - GPD and GEV Classifiers | 1.0 |
evtree Evolutionary Learning of Globally Optimal Trees | 1.0-8 |
EWGoF Goodness-of-Fit Tests for the Exponential and Two-Parameter Weibull Distributions | 2.2.2 |
ewoc Escalation with Overdose Control | 0.3.0 |
EWOC.Comb Escalation with Overdose Control using 2 Drug Combinations | 1.0 |
ewp An Empirical Model for Underdispersed Count Data | 0.1.1 |
EwR Econometrics with R | 1.4 |
EWS Early Warning System | 0.2.0 |
EWSmethods Forecasting Tipping Points at the Community Level | 1.3.1 |
Exact Unconditional Exact Test | 3.3 |
exact.n Exact Samples Sizes and Inference for Clinical Trials with Binary Endpoint | 1.1.1 |
exact2x2 Exact Tests and Confidence Intervals for 2x2 Tables | 1.6.9 |
exactamente Explore the Exact Bootstrap Method | 0.1.1 |
exactci Exact P-Values and Matching Confidence Intervals for Simple Discrete Parametric Cases | 1.4-4 |
ExactCIdiff Inductive Confidence Intervals for the Difference Between Two Proportions | 2.1 |
ExactCIone Admissible Exact Intervals for One-Dimensional Discrete Distributions | 1.0.5 |
ExactCox Exact Test and Exact Confidence Interval for the Cox Model | 0.1.0 |
exactextractr Fast Extraction from Raster Datasets using Polygons | 0.10.0 |
exactLTRE An Exact Method for Life Table Response Experiment (LTRE) Analysis | 0.1.0 |
ExactMed Exact Mediation Analysis for Binary Outcomes | 0.3.0 |
ExactMultinom Multinomial Goodness-of-Fit Tests | 0.1.2 |
exactRankTests Exact Distributions for Rank and Permutation Tests | 0.8-35 |
exametrika Test Theory Analysis and Biclustering | 1.1.0 |
ExamPAData Data Sets for Predictive Analytics Exam | 0.5.0 |
exampletestr Help for Writing Unit Tests Based on Function Examples | 1.7.3 |
exams Automatic Generation of Exams in R | 2.4-1 |
exams.forge Support for Compiling Examination Tasks using the 'exams' Package | 1.0.10 |
exams.mylearn Question Generation in the 'MyLearn' XML Format | 1.4 |
exams2forms Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents | 0.1-0 |
exams2learnr Interface for 'exams' Exercises in 'learnr' Tutorials | 0.1-0 |
exams2sakai Automatic Generation of Exams in R for 'Sakai' | 0.4 |
ExceedanceTools Confidence/Credible Regions for Exceedance Sets and Contour Lines | 1.3.6 |
exceedProb Confidence Intervals for Exceedance Probability | 0.0.1 |
excel2eprime Split Sentences by Factors | 0.4.0 |
exceldata Streamline Data Import, Cleaning and Recoding from 'Excel' | 0.1.1.3 |
ExcelFunctionsR Imports Excel Functions to R | 0.1.4 |
excelR A Wrapper of the 'JavaScript' Library 'jExcel' | 0.4.0 |
ExcessMass Excess Mass Calculation and Plots | 1.0.1 |
excessmort Excess Mortality | 0.8.0 |
excluder Checks for Exclusion Criteria in Online Data | 0.5.1 |
ExclusionTable Creating Tables of Excluded Observations | 1.1.0 |
exCon Interactive Exploration of Contour Data | 0.2.5 |
excursions Excursion Sets and Contour Credibility Regions for Random Fields | 2.5.8 |
exdex Estimation of the Extremal Index | 1.2.3 |
exdqlm Extended Dynamic Quantile Linear Models | 0.1.3 |
executablePackeR Make 'shiny' App to Executable Program | 0.0.2 |
ExGaussEstim Quantile Maximization Likelihood Estimation and Bayesian Ex-Gaussian Estimation | 0.1.2 |
ExhaustiveSearch A Fast and Scalable Exhaustive Feature Selection Framework | 1.0.1 |
exif Read EXIF Metadata from JPEGs | 0.1.0 |
exifr EXIF Image Data in R | 0.3.2 |
exiftoolr ExifTool Functionality from R | 0.2.6 |
ExNRuleEnsemble A k Nearest Neibour Ensemble Based on Extended Neighbourhood Rule | 0.1.1 |
ExpAnalysis3d Pacote Para Analise De Experimentos Com Graficos De Superficie Resposta | 0.1.2 |
ExPanDaR Explore Your Data Interactively | 0.5.3 |
expandFunctions Feature Matrix Builder | 0.1.0 |
EXPAR Fitting of Exponential Autoregressive (EXPAR) Model | 0.1.0 |
EXPARMA Fitting of Exponential Autoregressive Moving Average (EXPARMA) Model | 0.1.0 |
expDB Database for Experiment Dataset | 0.1.0 |
ExpDE Modular Differential Evolution for Experimenting with Operators | 0.1.4 |
ExpDes Experimental Designs Package | 1.2.2 |
ExpDes.pt Pacote Experimental Designs (Portugues) | 1.2.2 |
expectreg Expectile and Quantile Regression | 0.53 |
experDesign Design Experiments for Batches | 0.4.0 |
experiences Experience Research | 0.1.1 |
experiment R Package for Designing and Analyzing Randomized Experiments | 1.2.1 |
ExperimentHub | 2.14.0 |
experimentr Datasets Used in Social Science Experiments: A Hands-on Introduction | 0.1.0 |
ExpertChoice Design of Discrete Choice and Conjoint Analysis | 0.2.0 |
ExpGenetic Non-Additive Expression Analysis of Hybrid Offspring | 0.1.0 |
ExpImage Analysis of Images in Experiments | 0.10.1 |
expint Exponential Integral and Incomplete Gamma Function | 0.1-8 |
expirest Expiry Estimation Procedures | 0.1.6 |
explainer Machine Learning Model Explainer | 1.0.2 |
ExplainPrediction Explanation of Predictions for Classification and Regression Models | 1.3.0 |
ExplodeLayout Calculate Exploded Coordinates Based on Original Node Coordinates and Node Clustering Membership | 0.1.2 |
explor Interactive Interfaces for Results Exploration | 0.3.10 |
exploratory A Tool for Large-Scale Exploratory Analyses | 0.3.31 |
explore Simplifies Exploratory Data Analysis | 1.3.3 |
exploreR Tools for Quickly Exploring Data | 0.1 |
expm Matrix Exponential, Log, 'etc' | 1.0-0 |
export Streamlined Export of Graphs and Data Tables | 0.3.0 |
ExPosition Exploratory Analysis with the Singular Value Decomposition | 2.8.23 |
ExposR Models Topographic Exposure to Hurricane Winds | 1.2 |
expowo Data Mining of Plant Diversity and Distribution | 2.0 |
expperm Computing Expectations and Marginal Likelihoods for Permutations | 1.6 |
ExpRep Experiment Repetitions | 1.0 |
expSBM An Exponential Stochastic Block Model for Interaction Lengths | 1.3.5 |
expsmooth Data Sets from "Forecasting with Exponential Smoothing" | 2.3 |
expss Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics | 0.11.6 |
expstudy Tools for Actuarial Experience Studies | 2.0.0 |
exreport Fast, Reliable and Elegant Reproducible Research | 0.4.1 |
EXRQ Extreme Regression of Quantiles | 1.0 |
extBatchMarking Extended Batch Marking Models | 1.1.0 |
ExtDist Extending the Range of Functions for Probability Distributions | 0.7-2 |
extendedFamily Additional Families for Generalized Linear Models | 0.2.4 |
exteriorMatch Constructs the Exterior Match from Two Matched Control Groups | 1.0.0 |
extlasso Maximum Penalized Likelihood Estimation with Extended Lasso Penalty | 0.3 |
ExtMallows An Extended Mallows Model and Its Hierarchical Version for Ranked Data Aggregation | 0.1.0 |
ExtractTrainData Extract Values from Raster | 9.1.6 |
extraDistr Additional Univariate and Multivariate Distributions | 1.10.0 |
extrafont Tools for Using Fonts | 0.19 |
extrafontdb Package for holding the database for the extrafont package | 1.0 |
extrafrail Estimation and Additional Tools for Alternative Shared Frailty Models | 1.12 |
extraoperators Extra Binary Relational and Logical Operators | 0.3.0 |
extras Helper Functions for Bayesian Analyses | 0.7.3 |
extrasteps More Miscellaneous Steps for the 'recipes' Package | 0.1.0 |
extraterrestrial Astrobiology Equations Estimating Extraterrestrial Life | 0.1.0 |
extRatum Summary Statistics for Geospatial Features | 1.0.4 |
extRC Extended RC Models for Contingency Tables | 1.2 |
ExtremalDep Extremal Dependence Models | 0.0.4-3 |
ExtremeBounds Extreme Bounds Analysis (EBA) | 0.1.7 |
extremefit Estimation of Extreme Conditional Quantiles and Probabilities | 1.0.2 |
extremeIndex Forecast Verification for Extreme Events | 0.0.3 |
extrememix Bayesian Estimation of Extreme Value Mixture Models | 0.0.1 |
ExtremeRisks Extreme Risk Measures | 0.0.4 |
extRemes Extreme Value Analysis | 2.2 |
extremeStat Extreme Value Statistics and Quantile Estimation | 1.5.9 |
extremevalues Univariate Outlier Detection | 2.3.4 |
extremis Statistics of Extremes | 1.2.1 |
extremogram Estimation of Extreme Value Dependence for Time Series Data | 1.0.2 |
ExtrPatt Spatial Dependencies and Indices for Extremes | 0.1-4 |
exuber Econometric Analysis of Explosive Time Series | 1.0.2 |
exvatools Value Added in Exports and Other Input-Output Table Analysis Tools | 0.9.0 |
eye Analysis of Eye Data | 1.2.1 |
eyedata Open Source Ophthalmic Data Sets Curated for R | 0.1.0 |
eyelinker Import ASC Files from EyeLink Eye Trackers | 0.2.1 |
eyelinkReader Import Gaze Data for EyeLink Eye Tracker | 1.0.2 |
eyeRead Prepare/Analyse Eye Tracking Data for Reading | 0.0.4 |
eyetools Analyse Eye Data | 0.7.2 |
eyetrackingR Eye-Tracking Data Analysis | 0.2.1 |
eyeTrackR Organising and Analysing Eye-Tracking Data | 1.0.1 |
ez Easy Analysis and Visualization of Factorial Experiments | 4.4-0 |
ez.combat Easy ComBat Harmonization | 1.0.0 |
ezcox Easily Process a Batch of Cox Models | 1.0.4 |
ezCutoffs Fit Measure Cutoffs in SEM | 1.0.1 |
ezec Easy Interface to Effective Concentration Calculations | 1.0.1 |
ezECM Event Categorization Matrix Classification for Nuclear Detonations | 1.0.0 |
ezEDA Task Oriented Interface for Exploratory Data Analysis | 0.1.1 |
EzGP Easy-to-Interpret Gaussian Process Models for Computer Experiments | 0.1.0 |
ezknitr Avoid the Typical Working Directory Pain When Using 'knitr' | 0.6.3 |
ezmmek Easy Michaelis-Menten Enzyme Kinetics | 0.2.4 |
ezplot Functions for Common Chart Types | 0.7.13 |
ezr Easy Use of R via Shiny App for Basic Analyses of Experimental Data | 0.1.5 |
EZtune Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines | 3.1.1 |
f1dataR Access Formula 1 Data | 1.6.0 |
FaaSr FaaS (Function as a Service) Package | 1.3.0 |
fabCI FAB Confidence Intervals | 0.2 |
fabia | 2.52.0 |
FABInference FAB p-Values and Confidence Intervals | 0.1 |
fabisearch Change Point Detection in High-Dimensional Time Series Networks | 0.0.4.5 |
fable Forecasting Models for Tidy Time Series | 0.4.1 |
fable.ata 'ATAforecasting' Modelling Interface for 'fable' Framework | 0.0.6 |
fable.prophet Prophet Modelling Interface for 'fable' | 0.1.0 |
fableCount INGARCH and GLARMA Models for Count Time Series in Fable Framework | 0.1.0 |
fabletools Core Tools for Packages in the 'fable' Framework | 0.5.0 |
fabMix Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components | 5.1 |
fabPrediction Compute FAB (Frequentist and Bayes) Conformal Prediction Intervals | 1.0.4 |
fabR Wrapper Functions Collection Used in Data Pipelines | 2.1.0 |
fabricatr Imagine Your Data Before You Collect It | 1.0.2 |
fabricerin Create Easily Canvas in 'shiny' and 'RMarkdown' Documents | 0.1.2 |
face Fast Covariance Estimation for Sparse Functional Data | 0.1-7 |
facebookadsR Access to Facebook Ads via the 'Windsor.ai' API | 0.1.0 |
facebookleadsR Get Facebook Leads Ads Data via the 'Windsor.ai' API | 0.1.0 |
facebookorganicR Get Data from 'Facebook Organic' via the 'Windsor.ai' API | 0.1.0 |
facerec An Interface for Face Recognition | 0.1.0 |
facmodCS Cross-Section Factor Models | 1.0 |
facmodTS Time Series Factor Models for Asset Returns | 1.0 |
FACT Feature Attributions for ClusTering | 0.1.1 |
factiv Instrumental Variables Estimation for 2^k Factorial Experiments | 0.1.0 |
FACTMLE Maximum Likelihood Factor Analysis | 1.1 |
FactoClass Combination of Factorial Methods and Cluster Analysis | 1.2.9 |
factoextra Extract and Visualize the Results of Multivariate Data Analyses | 1.0.7 |
FactoInvestigate Automatic Description of Factorial Analysis | 1.9 |
FactoMineR Multivariate Exploratory Data Analysis and Data Mining | 2.11 |
factoptd Factorial Optimal Designs for Two-Colour cDNA Microarray Experiments | 1.0.3 |
factor.switching Post-Processing MCMC Outputs of Bayesian Factor Analytic Models | 1.4 |
factor256 Use Raw Vectors to Minimize Memory Consumption of Factors | 0.1.0 |
FactorAssumptions Set of Assumptions for Factor and Principal Component Analysis | 2.0.1 |
FactorCopula Factor, Bi-Factor, Second-Order and Factor Tree Copula Models | 0.9.3 |
factorial2x2 Design and Analysis of a 2x2 Factorial Trial | 0.2.0 |
factormodel Factor Model Estimation Using Proxy Variables | 1.0 |
factorplot Presenting Pairwise Comparisons | 1.2.3 |
factorstochvol Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models | 1.1.0 |
factory Build Function Factories | 0.1.0 |
Factoshiny Perform Factorial Analysis from 'FactoMineR' with a Shiny Application | 2.6 |
factReg Multi-Environment Genomic Prediction with Penalized Factorial Regression | 1.0.0 |
factset.analyticsapi.engines 'FactSet' Engines API Client | 3.0.1 |
factset.protobuf.stach.v2 'FactSet' 'STACH V2' Library | 1.0.6 |
factset.protobuf.stachextensions 'FactSet' 'STACH' Extensions Package | 1.0.4 |
fad Factor Analysis for Data | 0.9-1 |
FADA Variable Selection for Supervised Classification in High Dimension | 1.3.5 |
FAdist Distributions that are Sometimes Used in Hydrology | 2.4 |
FADPclust Functional Data Clustering Using Adaptive Density Peak Detection | 1.1.1 |
faersquarterlydata FDA Adverse Event Reporting System Quarterly Data Extracting Tool | 1.2.0 |
FAfA Factor Analysis for All | 0.2 |
Fahrmeir Data from the Book "Multivariate Statistical Modelling Based on Generalized Linear Models", First Edition, by Ludwig Fahrmeir and Gerhard Tutz | 2016.5.31 |
fail File Abstraction Interface Layer (FAIL) | 1.3 |
fairadapt Fair Data Adaptation with Quantile Preservation | 1.0.0 |
FAIRmaterials Ontology Tools with Data FAIRification in Development | 0.4.2.1 |
FairMclus Clustering for Data with Sensitive Attribute | 2.2.1 |
fairml Fair Models in Machine Learning | 0.8 |
fairmodels Flexible Tool for Bias Detection, Visualization, and Mitigation | 1.2.1 |
fairness Algorithmic Fairness Metrics | 1.2.2 |
fairsubset Choose Representative Subsets | 1.0 |
fake Flexible Data Simulation Using the Multivariate Normal Distribution | 1.4.0 |
fakemake Mock the Unix Make Utility | 1.11.1 |
fakir Generate Fake Datasets for Prototyping and Teaching | 1.0.0 |
fakmct Fuzzy Adaptive Resonance Theory K-Means Clustering Technique | 0.1.0 |
falcon Finding Allele-Specific Copy Number in Next-Generation Sequencing Data | 0.2 |
falconx Finding Allele-Specific Copy Number in Whole-Exome Sequencing Data | 0.2 |
fam.recrisk Familial Recurrence Risk | 0.1 |
FAMetA Fatty Acid Metabolic Analysis | 0.1.6 |
FamEvent Family Age-at-Onset Data Simulation and Penetrance Estimation | 3.2 |
familial Statistical Tests of Familial Hypotheses | 1.0.7 |
familiar End-to-End Automated Machine Learning and Model Evaluation | 1.5.0 |
Familias Probabilities for Pedigrees Given DNA Data | 2.6.1 |
Families Kinship Ties in (Virtual) Multi-Generation Populations | 2.0.2 |
FamilyRank Algorithm for Ranking Predictors Using Graphical Domain Knowledge | 1.0 |
FAmle Maximum Likelihood and Bayesian Estimation of Univariate Probability Distributions | 1.3.7 |
FAMoS A Flexible Algorithm for Model Selection | 0.3.0 |
famSKATRC Family Sequence Kernel Association Test for Rare and Common Variants | 1.1.0 |
FAMT Factor Analysis for Multiple Testing (FAMT) : Simultaneous Tests under Dependence in High-Dimensional Data | 2.6 |
fanc Penalized Likelihood Factor Analysis via Nonconvex Penalty | 2.3.11 |
fANCOVA Nonparametric Analysis of Covariance | 0.6-1 |
fancycut A Fancy Version of 'base::cut' | 0.1.3 |
fangs Feature Allocation Neighborhood Greedy Search Algorithm | 0.2.17 |
fanovaGraph Building Kriging Models from FANOVA Graphs | 1.5 |
fanplot Visualisation of Sequential Probability Distributions Using Fan Charts | 4.0.0 |
fansi ANSI Control Sequence Aware String Functions | 1.0.6 |
fanyi Translate Words or Sentences via Online Translators | 0.0.7 |
FAO56 Evapotranspiration Based on FAO Penman-Monteith Equation | 1.0 |
FAOSTAT Download Data from the FAOSTAT Database | 2.4.0 |
faoutlier Influential Case Detection Methods for Factor Analysis and Structural Equation Models | 0.7.6 |
faq Create FAQ Page | 0.1.1 |
far Modelization for Functional AutoRegressive Processes | 0.6-7 |
faraway Functions and Datasets for Books by Julian Faraway | 1.0.8 |
FARDEEP Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares | 1.0.1 |
farff A Faster 'ARFF' File Reader and Writer | 1.1.1 |
FarmSelect Factor Adjusted Robust Model Selection | 1.0.2 |
FarmTest Factor-Adjusted Robust Multiple Testing | 2.2.0 |
farr Data and Code for Financial Accounting Research | 0.3.0 |
farrell Interactive Interface to Data Envelopment Analysis Modeling | 0.2.1 |
farver High Performance Colour Space Manipulation | 2.1.2 |
FAS Factor-Augmented Sparse Regression Tuning-Free Testing | 1.0.0 |
fasano.franceschini.test Fasano-Franceschini Test: A Multivariate Kolmogorov-Smirnov Two-Sample Test | 2.2.2 |
fase Functional Adjacency Spectral Embedding | 1.0.1 |
FASeg Joint Segmentation of Correlated Time Series | 0.1.9 |
fasjem A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models | 1.1.2 |
fAssets Rmetrics - Analysing and Modelling Financial Assets | 4023.85 |
fasstr Analyze, Summarize, and Visualize Daily Streamflow Data | 0.5.3 |
FAST.R Analyze and Visualize FAST-Generated Data | 0.2.1 |
fasta Fast Adaptive Shrinkage/Thresholding Algorithm | 0.1.0 |
fastadi Self-Tuning Data Adaptive Matrix Imputation | 0.1.1 |
fastAFT Fast Regression for the Accelerated Failure Time (AFT) Model | 1.4 |
fastai Interface to 'fastai' | 2.2.2 |
fastbackward Fast Backward Elimination Based on Information Criterion | 1.0.1 |
FastBandChol Fast Estimation of a Covariance Matrix by Banding the Cholesky Factor | 0.1.1 |
fastbeta Fast Approximation of Time-Varying Infectious Disease Transmission Rates | 0.3.1 |
fastcluster Fast Hierarchical Clustering Routines for R and 'Python' | 1.2.6 |
fastcmh Significant Interval Discovery with Categorical Covariates | 0.2.7 |
fastcmprsk Fine-Gray Regression via Forward-Backward Scan | 1.24.10 |
fastcox Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm | 1.1.3 |
fastcpd Fast Change Point Detection via Sequential Gradient Descent | 0.14.6 |
FastCUB Fast Estimation of CUB Models via Louis' Identity | 0.0.3 |
fastdid Fast Staggered Difference-in-Difference Estimators | 1.0.3 |
fastdigest Fast, Low Memory Footprint Digests of R Objects | 0.6-4 |
fastDummies Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables | 1.7.4 |
fasterElasticNet An Amazing Fast Way to Fit Elastic Net | 1.1.2 |
fasterize Fast Polygon to Raster Conversion | 1.1.0 |
fastFMM Fast Functional Mixed Models using Fast Univariate Inference | 0.3.0 |
FastGaSP Fast and Exact Computation of Gaussian Stochastic Process | 0.5.3 |
fastGHQuad Fast 'Rcpp' Implementation of Gauss-Hermite Quadrature | 1.0.1 |
fastGLCM 'GLCM' Texture Features | 1.0.2 |
fastglm Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen' | 0.0.3 |
fastglmpca Fast Algorithms for Generalized Principal Component Analysis | 0.1-103 |
FastGP Efficiently Using Gaussian Processes with Rcpp and RcppEigen | 1.2 |
fastGraph Fast Drawing and Shading of Graphs of Statistical Distributions | 2.1 |
fastICA FastICA Algorithms to Perform ICA and Projection Pursuit | 1.2-7 |
FastImputation Learn from Training Data then Quickly Fill in Missing Data | 2.2.1 |
FastJM Semi-Parametric Joint Modeling of Longitudinal and Survival Data | 1.4.2 |
fastJT Efficient Jonckheere-Terpstra Test Statistics | 1.0.6 |
FastKM A Fast Multiple-Kernel Method Based on a Low-Rank Approximation | 1.1 |
fastkmedoids Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA, FastCLARANS | 1.2 |
FastKNN Fast k-Nearest Neighbors | 0.0.1 |
fastkqr A Fast Algorithm for Kernel Quantile Regression | 1.0.0 |
fastLaplace A Fast Laplace Method for Spatial Generalized Linear Mixed Model | 0.0.2 |
fastLink Fast Probabilistic Record Linkage with Missing Data | 0.6.1 |
fastliu Fast Functions for Liu Regression with Regularization Parameter and Statistics | 1.0 |
fastLogisticRegressionWrap Fast Logistic Regression Wrapper | 1.2.0 |
fastlogitME Basic Marginal Effects for Logit Models | 0.1.0 |
fastM Fast Computation of Multivariate M-Estimators | 0.0-4 |
fastmap Fast Data Structures | 1.2.0 |
fastmatch Fast 'match()' Function | 1.1-4 |
fastMatMR High-Performance Matrix Market File Operations | 1.2.5 |
fastmatrix Fast Computation of some Matrices Useful in Statistics | 0.5-7721 |
fastmit Fast Mutual Information Based Independence Test | 0.1.1 |
fastml Fast Machine Learning Model Training and Evaluation | 0.2.0 |
fastNaiveBayes Extremely Fast Implementation of a Naive Bayes Classifier | 2.2.1 |
fastnet Large-Scale Social Network Analysis | 1.0.0 |
fastOnlineCpt Online Multivariate Changepoint Detection | 1.0 |
FastPCS FastPCS Robust Fit of Multivariate Location and Scatter | 0.1.4 |
fastplyr Fast Alternatives to 'tidyverse' Functions | 0.5.0 |
fastpng Read and Write PNG Files with Configurable Decoder/Encoder Options | 0.1.5 |
fastpos Finds the Critical Sequential Point of Stability for a Pearson Correlation | 0.5.1 |
fastqcr Quality Control of Sequencing Data | 0.1.3 |
fastqq Faster Generation of Quantile Quantile Plots with Large Samples | 0.1.3 |
fastR2 Foundations and Applications of Statistics Using R (2nd Edition) | 1.2.4 |
FastRCS Fits the FastRCS Robust Multivariable Linear Regression Model | 0.0.9 |
fastrep Time-Saving Package for Creating Reports | 0.7 |
FastRet Retention Time Prediction in Liquid Chromatography | 1.1.3 |
fastRG Sample Generalized Random Dot Product Graphs in Linear Time | 0.3.2 |
fastRhockey Functions to Access Premier Hockey Federation and National Hockey League Play by Play Data | 0.4.0 |
fastrmodels Models for the 'nflfastR' Package | 1.0.2 |
FastRWeb Fast Interactive Framework for Web Scripting Using R | 1.2-1 |
FastSF Fast Structural Filtering | 0.1.1 |
fastshap Fast Approximate Shapley Values | 0.1.1 |
fastSOM Fast Calculation of Spillover Measures | 1.0.1 |
FastStepGraph A Fast Algorithm for Sparse Precision Matrix Estimation | 0.1.1 |
fastText Efficient Learning of Word Representations and Sentence Classification | 1.0.4 |
fastTextR An Interface to the 'fastText' Library | 2.1.0 |
fasttime Fast Utility Function for Time Parsing and Conversion | 1.1-0 |
fastTopics Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data | 0.6-192 |
fastTS Fast Time Series Modeling for Seasonal Series with Exogenous Variables | 1.0.2 |
FastUtils Fast, Readable Utility Functions | 0.2.1 |
fastverse A Suite of High-Performance Packages for Statistics and Data Manipulation | 0.3.4 |
fastWavelets Compute Maximal Overlap Discrete Wavelet Transform (MODWT) and À Trous Discrete Wavelet Transform | 1.0.1 |
fat2Lpoly Two-Locus Family-Based Association Test with Polytomous Outcome | 1.2.5 |
FateID Quantification of Fate Bias in Multipotent Progenitors | 0.2.2 |
FatTailsR Kiener Distributions and Fat Tails in Finance | 1.8-5 |
FaultTree Fault Trees for Risk and Reliability Analysis | 1.0.1 |
faux Simulation for Factorial Designs | 1.2.1 |
fauxnaif Convert Values to NA | 0.7.1 |
fauxpas HTTP Error Helpers | 0.5.2 |
FAVAR Bayesian Analysis of a FAVAR Model | 0.1.3 |
favawesome 'Font Awesome' Icons as 'shiny' 'favicons' | 0.1.1 |
faviconPlease Find the URL to the 'Favicon' for a Website | 0.1.3 |
favnums A Dataset of Favourite Numbers | 1.0.0 |
FAwR Functions and Datasets for "Forest Analytics with R" | 1.1.2 |
fbar An Extensible Approach to Flux Balance Analysis | 0.6.0 |
fBasics Rmetrics - Markets and Basic Statistics | 4041.97 |
fbati Gene by Environment Interaction and Conditional Gene Tests for Nuclear Families | 1.0-9 |
FBCRM Phase I Optimal Dose Assignment using the FBCRM and MFBCRM Methods | 1.1 |
FBFsearch Algorithm for Searching the Space of Gaussian Directed Acyclic Graph Models Through Moment Fractional Bayes Factors | 1.2 |
fbglm Fractional Binomial Regression Model | 1.5.0 |
FBMS Flexible Bayesian Model Selection and Model Averaging | 1.0 |
FBN FISH Based Normalization and Copy Number Inference of SNP Microarray Data | 1.5.2 |
fbnet Forensic Bayesian Networks | 1.0.3 |
fBonds Rmetrics - Pricing and Evaluating Bonds | 3042.78 |
fbRads Analyzing and Managing Facebook Ads from R | 17.0.0 |
fbroc Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves | 0.4.1 |
fbst The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value | 2.2 |
fc Standard Evaluation-Based Multivariate Function Composition | 0.1.0 |
fca Floating Catchment Area (FCA) Methods to Calculate Spatial Accessibility | 0.1.0 |
fcaR Formal Concept Analysis | 1.2.2 |
fcci Feldman-Cousins Confidence Intervals | 1.0.1 |
fcfdr Flexible cFDR | 1.0.0 |
fcirt Forced Choice in Item Response Theory | 0.1.0 |
fcl A Financial Calculator | 0.1.3 |
fclust Fuzzy Clustering | 2.1.1.1 |
fcm Inference of Fuzzy Cognitive Maps (FCMs) | 0.1.3 |
FCMapper Fuzzy Cognitive Mapping | 1.1 |
FCO Flexible Cutoffs for Model Fit Evaluation in Covariance-Based Structural Models | 0.8.0 |
fCopulae Rmetrics - Bivariate Dependence Structures with Copulae | 4022.85 |
fcp Function Composition | 0.1.0 |
FCPS Fundamental Clustering Problems Suite | 1.3.4 |
fcr Functional Concurrent Regression for Sparse Data | 1.0 |
fcros A Method to Search for Differentially Expressed Genes and to Detect Recurrent Chromosomal Copy Number Aberrations | 1.6.1 |
FCSlib A Collection of Fluorescence Fluctuation Spectroscopy Analysis Methods | 1.3.0 |
fctbases Functional Bases | 1.1.1 |
fctutils Advanced Factor Manipulation Utilities | 0.0.7 |
fcuk The Ultimate Helper for Clumsy Fingers | 0.1.21 |
FCVAR Estimation and Inference for the Fractionally Cointegrated VAR | 0.1.4 |
fCWTr Fast Continuous Wavelet Transform | 0.2.1 |
FD Measuring Functional Diversity (FD) from Multiple Traits, and Other Tools for Functional Ecology | 1.0-12.3 |
fda Functional Data Analysis | 6.2.0 |
fda.usc Functional Data Analysis and Utilities for Statistical Computing | 2.2.0 |
fdaACF Autocorrelation Function for Functional Time Series | 1.0.0 |
fdacluster Joint Clustering and Alignment of Functional Data | 0.3.0 |
fdaconcur Concurrent Regression and History Index Models for Functional Data | 0.1.3 |
fdadensity Functional Data Analysis for Density Functions by Transformation to a Hilbert Space | 0.1.2 |
fdaMixed Functional Data Analysis in a Mixed Model Framework | 0.6.1 |
fdaMocca Model-Based Clustering for Functional Data with Covariates | 0.1-1 |
fdANOVA Analysis of Variance for Univariate and Multivariate Functional Data | 0.1.2 |
fdaoutlier Outlier Detection Tools for Functional Data Analysis | 0.2.1 |
fdapace Functional Data Analysis and Empirical Dynamics | 0.6.0 |
fdapaceShiny A Shiny App for the 'fdapace' Package | 1.0.5 |
fdaPDE Physics-Informed Spatial and Functional Data Analysis | 1.1-20 |
fdaPOIFD Partially Observed Integrated Functional Depth | 1.0.3 |
fdarep Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data | 0.1.1 |
fdaSP Sparse Functional Data Analysis Methods | 1.1.1 |
fdasrvf Elastic Functional Data Analysis | 2.3.4 |
fdatest Interval Testing Procedure for Functional Data | 2.1.1 |
FDboost Boosting Functional Regression Models | 1.1-2 |
fddm Fast Implementation of the Diffusion Decision Model | 1.0-2 |
fdesigns Optimal Experimental Designs for Functional/Dynamic Models | 1.0 |
fdicdata Accessing FDIC Bank Data | 0.1.1 |
fdm2id Data Mining and R Programming for Beginners | 0.9.9 |
fDMA Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes | 2.2.7 |
fdq Forest Data Quality | 0.12 |
fdrci Permutation-Based FDR Point and Confidence Interval Estimation | 2.4 |
fdrDiscreteNull False Discovery Rate Procedures Under Discrete and Heterogeneous Null Distributions | 1.4 |
FDRestimation Estimate, Plot, and Summarize False Discovery Rates | 1.0.1 |
FDRsamplesize2 Computing Power and Sample Size for the False Discovery Rate in Multiple Applications | 0.2.0 |
FDRsampsize Compute Sample Size that Meets Requirements for Average Power and FDR | 1.0 |
fdrtool Estimation of (Local) False Discovery Rates and Higher Criticism | 1.2.18 |
fds Functional Data Sets | 1.8 |
fdth Frequency Distribution Tables, Histograms and Polygons | 1.3-0 |
fdWasserstein Application of Optimal Transport to Functional Data Analysis | 1.0 |
FDX False Discovery Exceedance Controlling Multiple Testing Procedures | 2.0.2 |
FEA Finite Element Modeling for R | 0.0.2 |
FeaLect Scores Features for Feature Selection | 1.20 |
feasts Feature Extraction and Statistics for Time Series | 0.4.1 |
feather R Bindings to the Feather 'API' | 0.3.5 |
feature Local Inferential Feature Significance for Multivariate Kernel Density Estimation | 1.2.15 |
featureCorMatrix Measurement Level Independent Feature Correlation Matrix | 0.4.0 |
FeatureExtraction Generating Features for a Cohort | 3.7.2 |
featurefinder Feature Finder | 1.1 |
featureflag Turn Features On and Off using Feature Flags | 0.1.0 |
FeatureHashing Creates a Model Matrix via Feature Hashing with a Formula Interface | 0.9.2 |
FeatureImpCluster Feature Importance for Partitional Clustering | 0.1.5 |
features Feature Extraction for Discretely-Sampled Functional Data | 2015.12-1 |
FeatureTerminatoR Feature Selection Engine to Remove Features with Minimal Predictive Power | 1.0.0 |
featurizer Some Helper Functions that Help Create Features from Data | 0.2 |
fec16 Data Package for the 2016 United States Federal Elections | 0.1.4 |
fechner Fechnerian Scaling of Discrete Object Sets | 1.0-3 |
fect Fixed Effects Counterfactuals | 1.0.0 |
FedData Download Geospatial Data Available from Several Federated Data Sources | 4.2.0 |
federalregister Client Package for the U.S. Federal Register API | 0.2.0 |
FedIRT Federated Item Response Theory Models | 1.1.0 |
fedmatch Fast, Flexible, and User-Friendly Record Linkage Methods | 2.0.6 |
fedregs Text Analysis of the US Code of Federal Regulations | 1.0.0 |
fedstatAPIr Unofficial API for Fedstat (Rosstat EMISS System) for Automatic and Efficient Data Queries | 1.0.3 |
fedz1 An Easier Access to Financial Accounts of the United States(Z.1) | 0.1.0 |
FeedbackTS Analysis of Feedback in Time Series | 1.5 |
feisr Estimating Fixed Effects Individual Slope Models | 1.3.0 |
felp Functional Help for Functions, Objects, and Packages | 0.6.0 |
feltr Access the Felt API | 0.0.4 |
fence Using Fence Methods for Model Selection | 1.0 |
FENmlm Fixed Effects Nonlinear Maximum Likelihood Models | 2.4.4 |
FEprovideR Fixed Effects Logistic Model with High-Dimensional Parameters | 1.1 |
FER Financial Engineering in R | 0.94 |
fergm Estimation and Fit Assessment of Frailty Exponential Random Graph Models | 1.1.4 |
fermicatsR Fermi Large Area Telescope Catalogs | 1.4 |
ferrn Facilitate Exploration of touRR optimisatioN | 0.1.0 |
FertBoot Fertilizer Response Curve Analysis by Bootstrapping Residuals | 0.5.0 |
fertilmodel Fertility Models | 1.4 |
FertNet Process Data from the Social Networks and Fertility Survey | 0.1.2 |
FESta Fishing Effort Standardisation | 1.0.0 |
fetch Fetch Data from Various Data Sources | 0.1.5 |
fetchGoogleAnalyticsR Get Data from Google Analytics via the 'Windsor.ai' API | 0.1.0 |
fetchSalesforceR Get Data from Salesforce via the 'Windsor.ai' API | 0.1.0 |
fExtremes Rmetrics - Modelling Extreme Events in Finance | 4032.84 |
ff Memory-Efficient Storage of Large Data on Disk and Fast Access Functions | 4.5.0 |
FFD Freedom from Disease | 1.0-9 |
FFdownload Download Data from Kenneth French's Website | 1.1.1 |
FField Force field simulation for a set of points | 0.1.0 |
fflr Retrieve ESPN Fantasy Football Data | 2.3.0 |
ffmanova Fifty-Fifty MANOVA | 1.1.2 |
ffp Fully Flexible Probabilities for Stress Testing and Portfolio Construction | 0.2.2 |
ffscrapr API Client for Fantasy Football League Platforms | 1.4.8 |
FFTrees Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees | 2.0.0 |
fftw Fast FFT and DCT Based on the FFTW Library | 1.0-9 |
fftwtools Wrapper for 'FFTW3' Includes: One-Dimensional, Two-Dimensional, Three-Dimensional, and Multivariate Transforms | 0.9-11 |
FGalgorithm Flury and Gautschi algorithms | 1.0 |
fGarch Rmetrics - Autoregressive Conditional Heteroskedastic Modelling | 4033.92 |
fgdr Utilities for Fundamental Geo-Spatial Data | 1.1.1 |
fgeo Analyze Forest Diversity and Dynamics | 1.1.4 |
fgeo.analyze Analyze ForestGEO Data | 1.1.14 |
fgeo.plot Plot ForestGEO Data | 1.1.11 |
fgeo.tool Import and Manipulate 'ForestGEO' Data | 1.2.9 |
fgeo.x Access Small ForestGEO Datasets For Examples | 1.1.4 |
fgitR Using 'FastGit' to Accelerate the Access to 'GitHub' | 0.2.0 |
FGLMtrunc Truncated Functional Generalized Linear Models | 0.1.0 |
fglsnet A Feasible Generalized Least Squares Estimator for Regression Analysis of Outcomes with Network Dependence | 1.1 |
fgm Partial Separability and Functional Gaussian Graphical Models | 1.0 |
Fgmutils Forest Growth Model Utilities | 0.9.5 |
FGRepo Functional Genomics Repository for POST-GWAS Analysis | 1.3.2.0 |
fgsea | 1.32.0 |
fgui Function GUI | 1.0-8 |
FHDI Fractional Hot Deck and Fully Efficient Fractional Imputation | 1.4.1 |
fhircrackr Handling HL7 FHIR® Resources in R | 2.2.0 |
fHMM Fitting Hidden Markov Models to Financial Data | 1.4.1 |
FHtest Tests for Right and Interval-Censored Survival Data Based on the Fleming-Harrington Class | 1.5.1 |
FI Provide functions for forest inventory calculations | 1.0 |
fiberLD Fiber Length Determination | 0.1-8 |
fic Focused Information Criteria for Model Comparison | 1.0.0 |
fICA Classical, Reloaded and Adaptive FastICA Algorithms | 1.1-2 |
fidelius Browser-Side Password-Protected HTML Documents | 0.0.2 |
fido Bayesian Multinomial Logistic Normal Regression | 1.1.1 |
FielDHub A Shiny App for Design of Experiments in Life Sciences | 1.4.2 |
fields Tools for Spatial Data | 16.3 |
FieldSimR Simulation of Plot Errors and Phenotypes in Plant Breeding Field Trials | 1.4.0 |
fiery A Lightweight and Flexible Web Framework | 1.2.1 |
FIESTA Forest Inventory Estimation and Analysis | 3.6.4 |
FIESTAutils Utility Functions for Forest Inventory Estimation and Analysis | 1.2.3 |
fig A Config Package with No "Con" | 1.0.0 |
figir Check Validity of FIGI, CUSIP, ISIN, SEDOL | 0.1.7.0 |
figma Web Client/Wrapper to the 'Figma API' | 0.2.0 |
figpatch Easily Arrange External Figures with Patchwork Alongside 'ggplot2' Figures | 0.2 |
figuRes2 Support for a Variety of Figure Production Tasks | 1.0.0 |
file2meco Transform Files to 'microtable' Object with 'microeco' Package | 0.9.1 |
filearray File-Backed Array for Out-of-Memory Computation | 0.1.9 |
filebin Wrapper for the Filebin File Sharing API | 0.0.6 |
filecacher File Cacher | 0.2.9 |
filehash Simple Key-Value Database | 2.4-6 |
filehashSQLite Simple Key-Value Database using SQLite | 0.2-7 |
filelock Portable File Locking | 1.0.3 |
filematrix File-Backed Matrix Class with Convenient Read and Write Access | 1.3 |
filenamer Easy Management of File Names | 0.2.4 |
files Effective File Navigation from the R Console | 0.0.1 |
filesstrings Handy File and String Manipulation | 3.4.0 |
FILEST Fine-Level Structure Simulator | 1.1.2 |
filibustr Data Utilities for Congressional Research | 0.2.1 |
filling Matrix Completion, Imputation, and Inpainting Methods | 0.2.3 |
fillpattern Patterned Fills for 'ggplot2' and 'grid' Graphics | 1.0.2 |
fillr Fill Missing Values in Vectors | 1.0.0 |
FilmsGmooG IMDb Film Ratings from the Summer of 2022 | 0.1.0 |
filteRjsats Filter Raw JSATS Acoustic Telemetry Files from Lotek, ATS, Teknologic | 1.0 |
filterNHP Non-Human Primate Search Filters | 0.1.2 |
filters A "Snake_case" Filter System for R | 0.3.1 |
fImport Rmetrics - Importing Economic and Financial Data | 4041.88 |
finalfit Quickly Create Elegant Regression Results Tables and Plots when Modelling | 1.0.8 |
finalsize Calculate the Final Size of an Epidemic | 0.2.1 |
FinAna Financial Analysis and Regression Diagnostic Analysis | 0.1.2 |
FinancialInstrument Financial Instrument Model Infrastructure and Meta-Data | 1.3.1 |
FinancialMath Financial Mathematics for Actuaries | 0.1.1 |
finbif Interface for the 'Finnish Biodiversity Information Facility' API | 0.9.9 |
finbipartite Learning Bipartite Graphs: Heavy Tails and Multiple Components | 0.1.0 |
FinCal Time Value of Money, Time Series Analysis and Computational Finance | 0.6.3 |
finch Parse Darwin Core Files | 0.4.0 |
FinCovRegularization Covariance Matrix Estimation and Regularization for Finance | 1.1.0 |
findGSEP Estimate Genome Size of Polyploid Species Using k-Mer Frequencies | 1.2.0 |
findInFiles Find Pattern in Files | 0.5.0 |
findInGit Find Pattern in Files of All Branches of a 'git' Repository | 0.1.1 |
FindIt Finding Heterogeneous Treatment Effects | 1.2.0 |
findPackage Find 'CRAN' Package by Topic | 0.2.0 |
findpython Functions to Find an Acceptable Python Binary | 1.0.9 |
findR Find Code Snippets, R Scripts, R Markdown, PDF and Text Files with Pattern Matching | 0.2.1 |
findSVI Calculate Social Vulnerability Index for Communities | 0.1.2 |
findviews A View Generator for Multidimensional Data | 0.1.3 |
FinePop Fine-Scale Population Analysis | 1.5.2 |
FinePop2 Fine-Scale Population Analysis (Rewrite for Gene-Trait-Environment Interaction Analysis) | 0.4 |
finetune Additional Functions for Model Tuning | 1.2.0 |
fingerprint Functions to Operate on Binary Fingerprint Data | 3.5.7 |
fingerPro Sediment Source Fingerprinting | 1.1 |
fingraph Learning Graphs for Financial Markets | 0.1.0 |
finiteruinprob Computation of the Probability of Ruin Within a Finite Time Horizon | 0.6 |
finity Test for Finiteness of Moments in a Distribution | 0.1.5 |
FinNet Quickly Build and Manipulate Financial Networks | 0.2.1 |
finnishgrid 'Fingrid Open Data API' R Client | 0.2.0 |
finnsurveytext Analyse Open-Ended Survey Responses in Finnish | 2.1.0 |
finnts Microsoft Finance Time Series Forecasting Framework | 0.5.0 |
finreportr Financial Data from U.S. Securities and Exchange Commission | 1.0.4 |
FinTS Companion to Tsay (2005) Analysis of Financial Time Series | 0.4-9 |
fio Friendly Input-Output Analysis | 0.1.2 |
fipio Lightweight Federal Information Processing System (FIPS) Code Information Retrieval | 1.1.2 |
fipp Induced Priors in Bayesian Mixture Models | 1.0.0 |
FiRE Finder of Rare Entities (FiRE) | 1.0.1 |
firebase Integrates 'Google Firebase' Authentication Storage, and 'Analytics' with 'Shiny' | 1.0.2 |
firebehavioR Prediction of Wildland Fire Behavior and Hazard | 0.1.2 |
first Factor Importance Ranking and Selection using Total Indices | 1.1 |
FiSh Fisher-Shannon Method | 1.1 |
fishbc Fishes of British Columbia | 0.2.1 |
fishdata A Small Collection of Fish Population Datasets | 1.0.1 |
FisherEM The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data | 1.6 |
fisheye Transform Base Maps Using Log-Azimuthal Projection | 0.2.0 |
fishkirkko2015 Dataset of Measurements of Fish Species at Kirkkojarvi Lake, Finland | 1.0.0 |
fishmethods Fishery Science Methods and Models | 1.12-1 |
fishMod Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta Log-Normal Models | 0.29.2 |
FishPhyloMaker Phylogenies for a List of Finned-Ray Fishes | 0.2.0 |
FishProxCompAnalyzer Proximate Composition Analysis of Fish and Feed Ingredients | 0.1.0 |
FishResp Analytical Tool for Aquatic Respirometry | 1.1.2 |
fishRman The Fisheries Scientist's Toolbox | 1.2.3 |
fishtree Interface to the Fish Tree of Life API | 0.3.4 |
fishualize Color Palettes Based on Fish Species | 0.2.3 |
FisPro Fuzzy Inference System Design and Optimization | 1.1.4 |
FIT Transcriptomic Dynamics Models in Field Conditions | 0.0.6 |
fit.models Compare Fitted Models | 0.64 |
fitbitr Interface with the 'Fitbit' API | 0.3.0 |
fitbitScraper Scrapes Data from Fitbit | 0.1.8 |
fitbitViz 'Fitbit' Visualizations | 1.0.6 |
fitcoach Personalized Coach for Fitbit and R API | 1.0 |
fitConic Fit Data to Any Conic Section | 1.2.1 |
fitdistrplus Help to Fit of a Parametric Distribution to Non-Censored or Censored Data | 1.2-1 |
FitDynMix Estimation of Dynamic Mixtures | 1.0.0 |
fitHeavyTail Mean and Covariance Matrix Estimation under Heavy Tails | 0.2.0 |
fitlandr Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data | 0.1.0 |
fitmix Finite Mixture Model Fitting of Lifespan Datasets | 0.1.0 |
fitODBOD Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD | 1.5.4 |
fitODBODRshiny 'Shiny' Application for R Package 'fitODBOD' | 1.0.2 |
fitode Tools for Ordinary Differential Equations Model Fitting | 0.1.1 |
fitplc Fit Hydraulic Vulnerability Curves | 1.2-3 |
fitPoly Genotype Calling for Bi-Allelic Marker Assays | 3.0.0 |
fitPS Fit Zeta Distributions to Forensic Data | 1.0.1 |
fitscape Classes for Fitness Landscapes and Seascapes | 0.1.0 |
FITSio FITS (Flexible Image Transport System) Utilities | 2.1-6 |
fitteR Fit Hundreds of Theoretical Distributions to Empirical Data | 0.2.0 |
FitUltD Fit Univariate Mixed and Usual Distributions | 3.1.0 |
fitur Fit Univariate Distributions | 0.6.2 |
fitzRoy Easily Scrape and Process AFL Data | 1.6.0 |
fivethirtyeight Data and Code Behind the Stories and Interactives at 'FiveThirtyEight' | 0.6.2 |
fixedincome Fixed Income Models, Calculations, Data Structures and Instruments | 0.0.5 |
FixedPoint Algorithms for Finding Fixed Point Vectors of Functions | 0.6.3 |
fixedpointproperty Determine and Test the Fixed-Point Property in Binary Mixture Data | 1.0 |
fixedTimeEvents The Distribution of Distances Between Discrete Events in Fixed Time | 1.0.1 |
fixerapi An R Client for the "Fixer.io" Currency API | 0.1.6 |
fixest Fast Fixed-Effects Estimations | 0.12.1 |
fixr Fixing Data Made Easy for Statistical Analysis | 0.1.0 |
FixSeqMTP Fixed Sequence Multiple Testing Procedures | 0.1.2 |
fixtuRes Mock Data Generator | 0.1.3 |
fizzbuzzR Fizz Buzz Implementation | 0.1.1 |
FjordLight Available Light Within the Water Column and on the Seafloor of Arctic Fjords | 1.0.1 |
FKF Fast Kalman Filter | 0.2.6 |
FKF.SP Fast Kalman Filtering Through Sequential Processing | 0.3.3 |
FKSUM Fast Kernel Sums | 1.0.1 |
flacco Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems | 1.8 |
flagr Implementation of Flag Aggregation | 0.3.2 |
flam Fits Piecewise Constant Models with Data-Adaptive Knots | 3.2 |
FLAME Interpretable Matching for Causal Inference | 2.1.1 |
flametree Generate Random Tree-Like Images | 0.1.3 |
flamingos Functional Latent Data Models for Clustering Heterogeneous Curves ('FLaMingos') | 0.1.0 |
flan FLuctuation ANalysis on Mutation Models | 1.0 |
flap Forecast Linear Augmented Projection | 0.2.0 |
flare Family of Lasso Regression | 1.7.0.2 |
flashCard Create a Flash Card | 0.1.0 |
flashClust Implementation of optimal hierarchical clustering | 1.01-2 |
flashier Empirical Bayes Matrix Factorization | 1.0.7 |
flashlight Shed Light on Black Box Machine Learning Models | 0.9.0 |
flashr Create Flashcards of Terms and Definitions | 0.2.0 |
flatr Transforms Contingency Tables to Data Frames, and Analyses Them | 0.1.1 |
flattabler Obtaining a Flat Table from Pivot Tables | 2.1.2 |
flatxml Tools for Working with XML Files as R Dataframes | 0.1.1 |
fledge Smoother Change Tracking and Versioning for R Packages | 0.1.2 |
flevr Flexible, Ensemble-Based Variable Selection with Potentially Missing Data | 0.0.4 |
flexclust Flexible Cluster Algorithms | 1.4-2 |
flexCWM Flexible Cluster-Weighted Modeling | 1.92 |
flexdashboard R Markdown Format for Flexible Dashboards | 0.6.2 |
FlexDir Tools to Work with the Flexible Dirichlet Distribution | 1.0 |
FlexGAM Generalized Additive Models with Flexible Response Functions | 0.7.2 |
flexiblas 'FlexiBLAS' API Interface | 3.4.0 |
flexlsx Exporting 'flextable' to 'xlsx' Files | 0.3.0 |
flexmet Flexible Latent Trait Metrics using the Filtered Monotonic Polynomial Item Response Model | 1.1 |
flexmix Flexible Mixture Modeling | 2.3-19 |
flexmixNL Finite Mixture Modeling of Generalized Nonlinear Models | 0.0.1 |
flexmsm A General Framework for Flexible Multi-State Survival Modelling | 0.1.2 |
flexOR Flexible Odds Ratio Curves | 1.0.0 |
FlexParamCurve Tools to Fit Flexible Parametric Curves | 1.5-6 |
flexpolyline Flexible Polyline Encoding | 0.3.0 |
FlexReg Regression Models for Bounded Continuous and Discrete Responses | 1.3.0 |
flexrsurv Flexible Relative Survival Analysis | 2.0.18 |
FlexScan Flexible Scan Statistics | 0.2.2 |
flexsiteboard Breaks Single Page Applications from 'flexdashboard' in Multiple Files | 0.0.7 |
flexsurv Flexible Parametric Survival and Multi-State Models | 2.3.2 |
flexsurvcure Flexible Parametric Cure Models | 1.3.1 |
flextable Functions for Tabular Reporting | 0.9.7 |
FlexVarJM Estimate Joint Models with Subject-Specific Variance | 0.1.0 |
FlickrAPI Access to Flickr API | 0.1.0.1 |
flifo Don't Get Stuck with Stacks in R | 0.1.5 |
flightplot Plotting Flight Paths on Maps | 0.1.0 |
FLightR Reconstruct Animal Paths from Solar Geolocation Loggers Data | 0.5.5 |
flightsbr Download Flight and Airport Data from Brazil | 1.0.0 |
flimo Fixed Landscape Inference Method | 0.1.5 |
flintyR Simple and Flexible Tests of Sample Exchangeability | 0.1.0 |
flip Multivariate Permutation Tests | 2.5.0 |
flipbookr Parses Code, Creates Partial Code Builds, Delivers Code Movie | 0.1.0 |
flipdownr Implement a Countdown in 'RMarkdown' Documents and 'shiny' Applications | 0.1.1 |
flipdownWidgets A Wrapper of JavaScript Library 'flipdown.js' | 0.1.0 |
flippant Dithionite Scramblase Assay Analysis | 1.5.5 |
flipr Flexible Inference via Permutations in R | 0.3.3 |
flipscores Robust Score Testing in GLMs, by Sign-Flip Contributions | 1.3.2 |
FLLat Fused Lasso Latent Feature Model | 1.2-1 |
float 32-Bit Floats | 0.3-2 |
flobr Convert Files to and from Binary Objects (BLOBs) | 0.2.3 |
flock Process Synchronization Using File Locks | 0.7 |
flocker Flexible Occupancy Estimation with Stan | 1.0-0 |
flood Statistical Methods for the (Regional) Analysis of Flood Frequency | 0.1.1 |
FloodFreqPlot Flood Probability Plotting and Graphical Frequency Analysis | 0.1.0 |
FLOPART Functional Labeled Optimal Partitioning | 2024.6.19 |
flora Tools for Interacting with the Brazilian Flora 2020 | 0.3.4 |
florabr Explore Flora e Funga do Brasil Database | 1.3.0 |
FLORAL Fit Log-Ratio Lasso Regression for Compositional Data | 0.3.0 |
flourishcharts 'Flourish' for 'R' and 'Python' | 1.0.0.3 |
flow View and Browse Code Using Flow Diagrams | 0.2.0 |
flowchart Tidy Flowchart Generator | 0.6.0 |
FlowerMate Reciprocity Indices for Style-Polymorphic Plants | 1.0 |
flowmapblue Flow Map Rendering | 0.0.2 |
flowmapper Draw Flows (Migration, Goods, Money, Information) on 'ggplot2' Plots | 0.1.3 |
flowml A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data | 0.1.3 |
flowr Streamlining Design and Deployment of Complex Workflows | 0.9.11 |
FlowRegEnvCost The Environmental Costs of Flow Regulation | 0.1.1 |
FlowScreen Daily Streamflow Trend and Change Point Screening | 1.2.6 |
flowTraceR Tracing Information Flow for Inter-Software Comparisons in Mass Spectrometry-Based Bottom-Up Proteomics | 0.1.0 |
flps Fully-Latent Principal Stratification | 1.1.0 |
FLR Fuzzy Logic Rule Classifier | 1.0 |
flsa Path Algorithm for the General Fused Lasso Signal Approximator | 1.5.5 |
FLSSS Mining Rigs for Problems in the Subset Sum Family | 9.1.8 |
Fluidigm Handling Fluidigm Data | 0.2 |
fluidsynth Read and Play Digital Music (MIDI) | 1.0.2 |
FluMoDL Influenza-Attributable Mortality with Distributed-Lag Models | 0.0.3 |
fluoSurv Estimate Insect Survival from Fluorescence Data | 1.0.0 |
fluspect Fluspect-B | 1.0.0 |
flux Flux Rate Calculation from Dynamic Closed Chamber Measurements | 0.3-0.1 |
fluxfinder Parsing, Computation, and Diagnostics for Greenhouse Gas Measurements | 1.0.0 |
fluxible Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup | 0.0.1 |
fluxweb Estimate Energy Fluxes in Food Webs | 0.2.0 |
flying Simulation of Bird Flight Range | 0.1.3 |
FlyingR Simulation of Bird Flight Range | 0.2.2 |
fma Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998) | 2.5 |
FMAdist Frequentist Model Averaging Distribution | 0.1.2 |
FMAT The Fill-Mask Association Test | 2024.7 |
fmbasics Financial Market Building Blocks | 0.3.0 |
FMC Factorial Experiments with Minimum Level Changes | 1.0.1 |
FMCCSD Efficient Estimation of Clustered Current Status Data | 1.0 |
fmcmc A friendly MCMC framework | 0.5-2 |
fmcsR | 1.48.0 |
fmdates Financial Market Date Calculations | 0.1.4 |
fmdu (Restricted) [external] Multidimensional Unfolding | 0.1.1 |
FME A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis | 1.3.6.3 |
fmeffects Model-Agnostic Interpretations with Forward Marginal Effects | 0.1.4 |
fmerPack Tools of Heterogeneity Pursuit via Finite Mixture Effects Model | 0.0-1 |
fmesher Triangle Meshes and Related Geometry Tools | 0.2.0 |
fmf Fast Class Noise Detector with Multi-Factor-Based Learning | 1.1.1 |
FMM Rhythmic Patterns Modeling by FMM Models | 0.3.1 |
FMP Filtered Monotonic Polynomial IRT Models | 1.4 |
fmpcloudr R Access to the 'FMP Cloud' and 'Financial Modeling Prep' API | 0.1.5 |
FMradio Factor Modeling for Radiomics Data | 1.1.1 |
fmri Analysis of fMRI Experiments | 1.9.12.1 |
fmriqa Functional MRI Quality Assurance Routines | 0.3.0 |
fMRIscrub Scrubbing and Other Data Cleaning Routines for fMRI | 0.14.5 |
fMRItools Routines for Common fMRI Processing Tasks | 0.4.7 |
fmsb Functions for Medical Statistics Book with some Demographic Data | 0.7.6 |
FMsmsnReg Regression Models with Finite Mixtures of Skew Heavy-Tailed Errors | 1.0 |
FMStable Finite Moment Stable Distributions | 0.1-4 |
fmt Variance Estimation of FMT Method (Fully Moderated T-Statistic) | 2.0 |
fmtr Easily Apply Formats to Data | 1.6.5 |
fMultivar Rmetrics - Modeling of Multivariate Financial Return Distributions | 4031.84 |
fmx Finite Mixture Parametrization | 0.1.2 |
fnets Factor-Adjusted Network Estimation and Forecasting for High-Dimensional Time Series | 0.1.6 |
FNN Fast Nearest Neighbor Search Algorithms and Applications | 1.1.4.1 |
fNonlinear Rmetrics - Nonlinear and Chaotic Time Series Modelling | 4041.82 |
FnR Inbreeding and Numerator Relationship Coefficients | 1.1.0 |
fntl Numerical Tools for 'Rcpp' and Lambda Functions | 0.1.2 |
FOCI Feature Ordering by Conditional Independence | 0.1.3 |
focusedMDS Focused, Interactive Multidimensional Scaling | 1.3.3 |
foghorn Summarize CRAN Check Results in the Terminal | 1.6.0 |
folda Forward Stepwise Discriminant Analysis with Pillai's Trace | 0.2.0 |
folders Standardized Folder Names | 0.1.0 |
folio Datasets for Teaching Archaeology and Paleontology | 1.5.0 |
fomantic.plus Add Extra 'Fomantic UI' Components to 'shiny.semantic' | 0.1.0 |
fontawesome Easily Work with 'Font Awesome' Icons | 0.5.3 |
fontBitstreamVera Fonts with 'Bitstream Vera Fonts' License | 0.1.1 |
fontcm Computer Modern font for use with extrafont package | 1.1 |
fontLiberation Liberation Fonts | 0.1.0 |
fontquiver Set of Installed Fonts | 0.2.1 |
foodingraph Food Network Inference and Visualization | 0.1.0 |
foodquotient Food Quotient and Nutrient Analysis for HSFFQ | 0.1.1 |
foodwebWrapper Enhanced Wrapper to Show Which Functions Call What | 1.1.0 |
foolbox Function Manipulation Toolbox | 0.1.1 |
footballpenaltiesBL Penalties in the German Men's Football Bundesliga | 1.0.0 |
footBayes Fitting Bayesian and MLE Football Models | 0.2.0 |
footprint Calculate Air Travel Emissions | 0.2 |
foqat Field Observation Quick Analysis Toolkit | 2.0.8.2 |
ForagingOrg Organization Measures for Visual Foraging | 0.1.0 |
forams Foraminifera and Community Ecology Analyses | 2.0-6 |
forcats Tools for Working with Categorical Variables (Factors) | 1.0.0 |
forceplate Processing Force-Plate Data | 1.1-3 |
forceR Force Measurement Analyses | 1.0.20 |
foreach Provides Foreach Looping Construct | 1.5.2 |
ForeCA Forecastable Component Analysis | 0.2.7 |
forecast Forecasting Functions for Time Series and Linear Models | 8.23.0 |
ForecastComb Forecast Combination Methods | 1.3.1 |
ForecastCombinations Forecast Combinations | 1.1 |
forecasteR Time Series Forecast System | 3.0.2 |
forecastHybrid Convenient Functions for Ensemble Time Series Forecasts | 5.0.19 |
forecastLSW Forecasting Routines for Locally Stationary Wavelet Processes | 1.0 |
forecastML Time Series Forecasting with Machine Learning Methods | 0.9.0 |
forecastSNSTS Forecasting for Stationary and Non-Stationary Time Series | 1.3-0 |
ForecastTB Test Bench for the Comparison of Forecast Methods | 1.0.1 |
FoReco Forecast Reconciliation | 1.0.0 |
ForeComp Size-Power Tradeoff Visualization for Equal Predictive Ability of Two Forecasts | 0.9.0 |
forecTheta Forecasting Time Series by Theta Models | 2.6.2 |
foreign Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ... | 0.8-87 |
forensicolors Forensic Colors | 1.0.0 |
forensIT Information Theory Tools for Forensic Analysis | 1.0.0 |
foreSIGHT Systems Insights from Generation of Hydroclimatic Timeseries | 1.2.0 |
forestat Forest Carbon Sequestration and Potential Productivity Calculation | 1.1.0 |
forestControl Approximate False Positive Rate Control in Selection Frequency for Random Forest | 0.2.2 |
forestdata Download Forestry Data | 0.2.1 |
ForestDisc Forest Discretization | 0.1.0 |
forestdynR Calculate Forest Dynamics | 0.0.1 |
forestecology Fitting and Assessing Neighborhood Models of the Effect of Interspecific Competition on the Growth of Trees | 0.2.0 |
forested Forest Attributes in Washington State | 0.1.0 |
forestError A Unified Framework for Random Forest Prediction Error Estimation | 1.1.0 |
ForestFit Statistical Modelling for Plant Size Distributions | 2.2.3 |
ForestGapR Tropical Forest Canopy Gaps Analysis | 0.1.7 |
forestGYM Forest Growth and Yield Model Based on Clutter Model | 1.0.0 |
forestHES Forest Health Evaluation System at the Forest Stand Level | 2.0.1 |
forestinventory Design-Based Global and Small-Area Estimations for Multiphase Forest Inventories | 1.0.0 |
forestly Interactive Forest Plot | 0.1.1 |
forestmangr Forest Mensuration and Management | 0.9.8 |
forestmodel Forest Plots from Regression Models | 0.6.2 |
forestplot Advanced Forest Plot Using 'grid' Graphics | 3.1.6 |
forestploter Create a Flexible Forest Plot | 1.1.2 |
forestPSD Forest Population Structure and Numeric Dynamics | 1.0.0 |
forestr Ecosystem and Canopy Structural Complexity Metrics from LiDAR | 2.0.2 |
forestRK Implements the Forest-R.K. Algorithm for Classification Problems | 0.0-5 |
forestry Reshape Data Tree | 0.1.1 |
forestSAS Forest Spatial Structure Analysis Systems | 2.0.4 |
ForestTools Tools for Analyzing Remote Sensing Forest Data | 1.0.2 |
foretell Projecting Customer Retention Based on Fader and Hardie Probability Models | 0.2.0 |
forge Casting Values into Shape | 0.2.0 |
forImage Foraminiferal Image Analysis and Test Measurement | 0.1.0 |
ForIT Functions to Estimate Tree Volume and Phytomass in the Italian Forest Inventory 2005 | 2.4.0 |
formatBibtex Format BibTeX Entries and Files | 0.1.0 |
formatdown Formatting Numbers in 'rmarkdown' Documents | 0.1.4 |
formatR Format R Code Automatically | 1.14 |
formattable Create 'Formattable' Data Structures | 0.2.1 |
formatters ASCII Formatting for Values and Tables | 0.5.9 |
formods 'Shiny' Modules for General Tasks | 0.1.7 |
FormShare A Simple Connection Between the 'FormShare App' and 'R' for Advanced Analytics | 1.0.1 |
Formula Extended Model Formulas | 1.2-5 |
formula.tools Programmatic Utilities for Manipulating Formulas, Expressions, Calls, Assignments and Other R Objects | 1.7.1 |
formulaic Dynamic Generation and Quality Checks of Formula Objects | 0.0.8 |
formulops Mathematical Operations on R Formula | 0.5.0 |
FormulR Comprehensive Tools for Drug Formulation Analysis and Visualization | 1.0.0 |
forplo Flexible Forest Plots | 0.2.5 |
forrel Forensic Pedigree Analysis and Relatedness Inference | 1.7.0 |
forsearch Diagnostic Analysis Using Forward Search Procedure for Various Models | 6.3.0 |
forstringr String Manipulation Package for Those Familiar with 'Microsoft Excel' | 1.0.0 |
FORTLS Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes | 1.4.0 |
forward Robust Analysis using Forward Search | 1.0.7 |
forwards Data from Surveys Conducted by Forwards | 0.1.3 |
fossil Palaeoecological and Palaeogeographical Analysis Tools | 0.4.0 |
fossilbrush Automated Cleaning of Fossil Occurrence Data | 1.0.5 |
FossilSim Simulation and Plots for Fossil and Taxonomy Data | 2.4.1 |
FossilSimShiny Shiny Application for 'FossilSim' | 1.1.2 |
foto Fourier Transform Textural Ordination | 1.1 |
foundry 'Palantir Foundry' Software Development Kit | 0.13.0 |
FourgameteP FourGamete Test | 0.1.0 |
fourierin Computes Numeric Fourier Integrals | 0.2.5 |
fourPNO Bayesian 4 Parameter Item Response Model | 1.1.0 |
FourScores A Game for Human vs. Human or Human vs. AI | 1.5.1 |
FourWayHMM Parsimonious Hidden Markov Models for Four-Way Data | 1.0.0 |
fpa Spatio-Temporal Fixation Pattern Analysis | 1.0 |
fPASS Power and Sample Size for Projection Test under Repeated Measures | 1.0.0 |
fpc Flexible Procedures for Clustering | 2.2-13 |
FPCA3D Three Dimensional Functional Component Analysis | 1.0 |
fpcb Predictive Confidence Bands for Functional Time Series Forecasting | 0.1.0 |
FPCdpca The FPCdpca Criterion on Distributed Principal Component Analysis | 0.1.0 |
fpCompare Reliable Comparison of Floating Point Numbers | 0.2.4 |
FPDclustering PD-Clustering and Related Methods | 2.3.2 |
fpeek Check Text Files Content at a Glance | 0.1.2 |
fpest Estimating Finite Population Total | 0.1.1 |
FPLdata Read in Fantasy Premier League Data | 0.1.0 |
fplot Automatic Distribution Graphs Using Formulas | 1.1.0 |
fplyr Apply Functions to Blocks of Files | 1.3.0 |
fpop Segmentation using Optimal Partitioning and Function Pruning | 2019.08.26 |
fpopw Weighted Segmentation using Functional Pruning and Optimal Partioning | 1.1 |
fPortfolio Rmetrics - Portfolio Selection and Optimization | 4023.84 |
fpow Computing the noncentrality parameter of the noncentral F distribution | 0.0-2 |
fpp Data for "Forecasting: principles and practice" | 0.5 |
fpp2 Data for "Forecasting: Principles and Practice" (2nd Edition) | 2.5 |
fpp3 Data for "Forecasting: Principles and Practice" (3rd Edition) | 1.0.1 |
fptdApprox Approximation of First-Passage-Time Densities for Diffusion Processes | 2.5 |
FPV Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment | 0.5 |
fqacalc Calculate Floristic Quality Assessment Metrics | 1.1.0 |
fqadata Contains Regional Floristic Quality Assessment Databases | 1.1.0 |
fqar Floristic Quality Assessment Tools for R | 0.5.4 |
fr Frictionless Standards | 0.5.2 |
frab How to Add Two R Tables | 0.0-6 |
fracdiff Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models | 1.5-3 |
fracdist Numerical CDFs for Fractional Unit Root and Cointegration Tests | 0.1.1 |
FracKrigingR Spatial Multivariate Data Modeling | 1.0.0 |
fracprolif Fraction Proliferation via a Quiescent Growth Model | 1.0.7 |
fractaldim Estimation of Fractal Dimensions | 0.8-5 |
FractalParameterEstimation Simulation and Parameter Estimation of Randomized Sierpinski Carpets using the p-p-p-q-Model | 1.1.2 |
fractalRegression Performs Fractal Analysis and Fractal Regression | 1.2 |
fractD Estimation of Fractal Dimension of a Black Area in 2D and 3D (Slices) Images | 0.1.0 |
FRACTION Numeric Number into Fraction | 1.1.1 |
fractional Vulgar Fractions in R | 0.1.3 |
fracture Convert Decimals to Fractions | 0.2.1 |
fragility Assessing and Visualizing Fragility of Clinical Results with Binary Outcomes | 1.6 |
Fragman Fragment Analysis in R | 1.0.9 |
frailtyEM Fitting Frailty Models with the EM Algorithm | 1.0.1 |
frailtyHL Frailty Models via Hierarchical Likelihood | 2.3 |
frailtyMMpen Efficient Algorithm for High-Dimensional Frailty Model | 1.2.1 |
frailtypack Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints | 3.6.5 |
frailtySurv General Semiparametric Shared Frailty Model | 1.3.8 |
frair Tools for Functional Response Analysis | 0.5.100 |
framecleaner Clean Data Frames | 0.2.1 |
Frames2 Estimation in Dual Frame Surveys | 0.2.1 |
franc Detect the Language of Text | 1.1.4 |
FRAPO Financial Risk Modelling and Portfolio Optimisation with R | 0.4-1 |
frapplot Automatic Data Processing and Visualization for FRAP | 0.1.3 |
FRB Fast and Robust Bootstrap | 2.0-1 |
frbinom Fractional Binomial Distributions | 1.0.0 |
frbs Fuzzy Rule-Based Systems for Classification and Regression Tasks | 3.2-0 |
FRCC Fast Regularized Canonical Correlation Analysis | 1.1.0 |
frechet Statistical Analysis for Random Objects and Non-Euclidean Data | 0.3.0 |
fredr An R Client for the 'FRED' API | 2.1.0 |
free Flexible Regularized Estimating Equations | 1.0.2 |
freealg The Free Algebra | 1.1-8 |
freebird Estimation and Inference for High Dimensional Mediation and Surrogate Analysis | 1.0 |
freecurrencyapi Client for the 'freecurrencyapi.com' Currency Conversion API | 0.1.0 |
freedom Demonstration of Disease Freedom (DDF) | 1.0.1 |
freegroup The Free Group | 1.1-8 |
FreeSortR Free Sorting Data Analysis | 1.3 |
freesurfer Wrapper Functions for 'Freesurfer' | 1.6.10 |
freesurferformats Read and Write 'FreeSurfer' Neuroimaging File Formats | 0.1.18 |
FREEtree Tree Method for High Dimensional Longitudinal Data | 0.1.0 |
freetypeharfbuzz Deterministic Computation of Text Box Metrics | 0.2.6 |
freewall A Wrapper of the JavaScript Library 'Freewall' | 1.0.0 |
fRegression Rmetrics - Regression Based Decision and Prediction | 4021.83 |
frenchCurve Generate Open or Closed Interpolating Curves | 0.2.0 |
frenchdata Download Data Sets from Kenneth's French Finance Data Library Site | 0.2.0 |
FREQ FREQ: Estimate population size from capture frequencies | 1.0 |
freqdist Frequency Distribution | 0.1 |
freqdistributionNogives Automated Cumulative Frequency Plots for Grouped Distribution | 0.1.1 |
freqdom Frequency Domain Based Analysis: Dynamic PCA | 2.0.5 |
freqdom.fda Functional Time Series: Dynamic Functional Principal Components | 1.0.1 |
freqparcoord Novel Methods for Parallel Coordinates | 1.0.1 |
freqpcr Estimates Allele Frequency on qPCR DeltaDeltaCq from Bulk Samples | 0.4.0 |
FreqProf Frequency Profiles Computing and Plotting | 0.0.1 |
freqtables Make Quick Descriptive Tables for Categorical Variables | 0.1.1 |
frequency Easy Frequency Tables | 0.4.1 |
frequencyConnectedness Spectral Decomposition of Connectedness Measures | 0.2.4 |
frequentdirections Implementation of Frequent-Directions Algorithm for Efficient Matrix Sketching | 0.1.0 |
frequentistSSD Screened Selection Design with Survival Endpoints | 0.1.1 |
frequentistSSDBinary Screened Selection Design with Binary Endpoints | 0.1.0 |
FRESA.CAD Feature Selection Algorithms for Computer Aided Diagnosis | 3.4.8 |
fresh Create Custom 'Bootstrap' Themes to Use in 'Shiny' | 0.2.1 |
FRESHD Fast Robust Estimation of Signals in Heterogeneous Data | 1.0 |
freshr Make R Environment Fresh Again | 1.0.2 |
FrF2 Fractional Factorial Designs with 2-Level Factors | 2.3-3 |
FrF2.catlg128 Catalogues of Resolution IV 128 Run 2-Level Fractional Factorials Up to 33 Factors that Do Have 5-Letter Words | 1.2-3 |
FRI Relative Importance of Main and Interaction Effects | 1.0 |
frictionless Read and Write Frictionless Data Packages | 1.2.0 |
friends The Entire Transcript from Friends in Tidy Format | 0.1.0 |
fritools Utilities for the Forest Research Institute of the State Baden-Wuerttemberg | 4.3.0 |
fritools2 Utilities for the Forest Research Institute of the State Baden-Wuerttemberg | 4.1.0 |
FRK Fixed Rank Kriging | 2.3.1 |
fRLR Fit Repeated Linear Regressions | 1.3.0 |
fromo Fast Robust Moments | 0.2.4 |
frontier Stochastic Frontier Analysis | 1.1-8 |
frontiles Partial Frontier Efficiency Analysis | 1.3.1 |
frostr R API to MET Norway's 'Frost' API | 0.2.0 |
froth Emulate a 'Forth' Programming Environment | 1.1.0 |
frscore Functions for Calculating Fit-Robustness of CNA-Solutions | 0.4.1 |
fruclimadapt Evaluation Tools for Assessing Climate Adaptation of Fruit Tree Species | 0.4.5 |
fs Cross-Platform File System Operations Based on 'libuv' | 1.6.5 |
FSA Simple Fisheries Stock Assessment Methods | 0.9.5 |
FSAdata Data to Support Fish Stock Assessment ('FSA') Package | 0.4.1 |
FSAtools Fragment Analysis and Capillary Sequencing Tool Kit | 2.0.5 |
fsbrain Managing and Visualizing Brain Surface Data | 0.5.5 |
fscache File System Cache | 1.0.5 |
fscaret Automated Feature Selection from 'caret' | 0.9.4.4 |
FSDAM Forward Stepwise Deep Autoencoder-Based Monotone NLDR | 2024.7-30 |
fsdaR Robust Data Analysis Through Monitoring and Dynamic Visualization | 0.9-0 |
FSelector Selecting Attributes | 0.34 |
FSelectorRcpp 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support | 0.3.13 |
fsemipar Estimation, Variable Selection and Prediction for Functional Semiparametric Models | 1.1.1 |
fsia Import and Analysis of OMR Data from FormScanner | 1.1.1 |
FSinR Feature Selection | 2.0.5 |
FSInteract Fast Searches for Interactions | 0.1.2 |
FSK2R An Interface Between the 'FSKX' Standard and 'R' | 0.1.3 |
fslr Wrapper Functions for 'FSL' ('FMRIB' Software Library) from Functional MRI of the Brain ('FMRIB') | 2.25.3 |
FSM Finite Selection Model | 1.0.0 |
fsn Rosenthal's Fail Safe Number and Related Functions | 0.4 |
fso Fuzzy Set Ordination | 2.1-2 |
fspe Estimating the Number of Factors in EFA with Out-of-Sample Prediction Errors | 0.1.2 |
fsr Handling Fuzzy Spatial Data | 2.0.1 |
fSRM Social Relations Analyses with Roles ("Family SRM") | 0.6.5 |
fssemR Fused Sparse Structural Equation Models to Jointly Infer Gene Regulatory Network | 0.1.8 |
FSSF Generate Fully-Sequential Space-Filling Designs Inside a Unit Hypercube | 0.1.1 |
fst Lightning Fast Serialization of Data Frames | 0.9.8 |
fst4pg Genetic Distance Segmentation for Population Genetics | 1.0.0 |
Fstability Calculate Feature Stability | 0.1.2 |
fstcore R Bindings to the 'Fstlib' Library | 0.9.18 |
fsthet Fst-Heterozygosity Smoothed Quantiles | 1.0.1 |
FSTpackage Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotation Scores | 0.1 |
ftaproxim Fault Tree Analysis Based on Proxel Simulation | 0.0.1 |
ftDK A Wrapper for the API of the Danish Parliament | 1.0 |
ftExtra Extensions for 'Flextable' | 0.6.4 |
fTrading Rmetrics - Trading and Rebalancing Financial Instruments | 3042.79 |
ftrCOOL Feature Extraction from Biological Sequences | 2.0.0 |
fts R Interface to 'tslib' (a Time Series Library in C++) | 0.9.9.2 |
ftsa Functional Time Series Analysis | 6.4 |
FTSgof White Noise and Goodness-of-Fit Tests for Functional Time Series | 1.0.0 |
ftsspec Spectral Density Estimation and Comparison for Functional Time Series | 1.0.0 |
fucom Full Consistency Method (FUCOM) | 0.0.2 |
fude Utilities for Fude Polygon | 0.3.6 |
fuel Framework for Unified Estimation in Lognormal Models | 1.2.0 |
fueleconomy EPA Fuel Economy Data | 1.0.0 |
fugue Sensitivity Analysis Optimized for Matched Sets of Varied Sizes | 0.1.7 |
fuj Functions and Utilities for Jordan | 0.2.1 |
fullfact Full Factorial Breeding Analysis | 1.5.2 |
fullRankMatrix Generation of Full Rank Design Matrix | 0.1.0 |
fullROC Plot Full ROC Curves using Eyewitness Lineup Data | 0.1.0 |
fun Use R for Fun | 0.3 |
func2vis Clean and Visualize Over Expression Results from 'ConsensusPathDB' | 1.0-3 |
FunCC Functional Cheng and Church Bi-Clustering | 1.0 |
FuncDiv Compute Contributional Diversity Metrics | 1.0.0 |
funcharts Functional Control Charts | 1.6.0 |
funchir Convenience Functions by Michael Chirico | 0.2.2 |
FunChisq Model-Free Functional Chi-Squared and Exact Tests | 2.5.4 |
FuncMap Hive Plots of R Package Function Calls | 1.0.10 |
FuncNN Functional Neural Networks | 1.0 |
FunctanSNP Functional Analysis (with Interactions) for Dense SNP Data | 0.1.0 |
functional Curry, Compose, and other higher-order functions | 0.6 |
functiondepends Find Functions and their Dependencies | 0.2.3 |
funData An S4 Class for Functional Data | 1.3-9 |
fundiversity Easy Computation of Functional Diversity Indices | 1.1.1 |
funFEM Clustering in the Discriminative Functional Subspace | 1.2 |
fungible Psychometric Functions from the Waller Lab | 2.4.4 |
funGp Gaussian Process Models for Scalar and Functional Inputs | 1.0.0 |
funique A Faster Unique Function | 0.0.1 |
fUnitRoots Rmetrics - Modelling Trends and Unit Roots | 4040.81 |
funkycells Functional Data Analysis for Multiplexed Cell Images | 1.1.1 |
funkyheatmap Generating Funky Heatmaps for Data Frames | 0.5.0 |
funLBM Model-Based Co-Clustering of Functional Data | 2.3 |
funmediation Functional Mediation for a Distal Outcome | 1.0.2 |
funModeling Exploratory Data Analysis and Data Preparation Tool-Box | 1.9.5 |
funneljoin Time-Based Joins to Analyze Sequences of Events | 0.2.0 |
FunnelPlotR Funnel Plots for Comparing Institutional Performance | 0.5.0 |
funnelR Funnel Plots for Proportion Data | 0.1.0 |
funpca Functional Principal Component Analysis | 9.0 |
funprog Functional Programming | 0.3.0 |
funr Simple Utility Providing Terminal Access to all R Functions | 0.3.2 |
funrar Functional Rarity Indices Computation | 1.5.0 |
funreg Functional Regression for Irregularly Timed Data | 1.2.2 |
funspace Creating and Representing Functional Trait Spaces | 0.2.2 |
funspotr Spot R Functions & Packages | 0.0.4 |
funStatTest Statistical Testing for Functional Data | 1.0.3 |
FUNTA Functional Tangential Angle Pseudo-Depth | 0.1.0 |
funtimes Functions for Time Series Analysis | 9.1 |
FunWithNumbers Fun with Fractions and Number Sequences | 1.2 |
furniture Furniture for Quantitative Scientists | 1.9.14 |
furrr Apply Mapping Functions in Parallel using Futures | 0.3.1 |
fusedMGM Implementation of Fused MGM to Infer 2-Class Networks | 0.1.2 |
fusen Build a Package from Rmarkdown Files | 0.6.0 |
fuser Fused Lasso for High-Dimensional Regression over Groups | 1.0.1 |
fusionchartsR Embedding FusionCharts in R | 1.0.0 |
fusionclust Clustering and Feature Screening using L1 Fusion Penalty | 1.0.0 |
FusionLearn Fusion Learning | 0.2.1 |
futile.logger A Logging Utility for R | 1.4.3 |
futile.options Futile Options Management | 1.0.1 |
futility Interim Analysis of Operational Futility in Randomized Trials with Time-to-Event Endpoints and Fixed Follow-Up | 0.4 |
future Unified Parallel and Distributed Processing in R for Everyone | 1.34.0 |
future.apply Apply Function to Elements in Parallel using Futures | 1.11.3 |
future.batchtools A Future API for Parallel and Distributed Processing using 'batchtools' | 0.12.1 |
future.callr A Future API for Parallel Processing using 'callr' | 0.8.2 |
future.mirai A 'Future' API for Parallel Processing using 'mirai' | 0.2.2 |
future.tests Test Suite for 'Future API' Backends | 0.7.0 |
futureverse Easily Install and Load the 'Futureverse' | 0.1.0 |
fuzzr Fuzz-Test R Functions | 0.2.2 |
Fuzzy.p.value Computing Fuzzy p-Value | 1.1 |
FuzzyAHP (Fuzzy) AHP Calculation | 0.9.5 |
FuzzyClass Fuzzy and Non-Fuzzy Classifiers | 0.1.6 |
FuzzyDBScan Run and Predict a Fuzzy DBScan | 0.0.3 |
fuzzyforest Fuzzy Forests | 1.0.8 |
FuzzyImputationTest Imputation Procedures and Quality Tests for Fuzzy Data | 0.3.6 |
fuzzyjoin Join Tables Together on Inexact Matching | 0.1.6 |
FuzzyLP Fuzzy Linear Programming | 0.1-7 |
FuzzyM Fuzzy Cognitive Maps Operations | 0.1.0 |
FuzzyNumbers Tools to Deal with Fuzzy Numbers | 0.4-7 |
FuzzyNumbers.Ext.2 Apply Two Fuzzy Numbers on a Monotone Function | 3.2 |
FuzzyPovertyR Estimation of Fuzzy Poverty Measures | 3.0.2 |
FuzzyQ Fuzzy Quantification of Common and Rare Species | 0.1.0 |
FuzzyR Fuzzy Logic Toolkit for R | 2.3.2 |
fuzzyRankTests Fuzzy Rank Tests and Confidence Intervals | 0.4 |
fuzzyreg Fuzzy Linear Regression | 0.6.2 |
FuzzyResampling Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers | 0.6.4 |
fuzzySim Fuzzy Similarity in Species Distributions | 4.29 |
FuzzySimRes Simulation and Resampling Methods for Epistemic Fuzzy Data | 0.4.3 |
FuzzyStatProb Fuzzy Stationary Probabilities from a Sequence of Observations of an Unknown Markov Chain | 2.0.4 |
FuzzyStatTra Statistical Methods for Trapezoidal Fuzzy Numbers | 1.0 |
FuzzyStatTraEOO Package 'FuzzyStatTra' in Encapsulated Object Oriented Programming | 1.0 |
FuzzySTs Fuzzy Statistical Tools | 0.3 |
fuzzywuzzyR Fuzzy String Matching | 1.0.5 |
FVDDPpkg Implement Fleming-Viot-Dependent Dirichlet Processes | 0.1.2 |
fwb Fractional Weighted Bootstrap | 0.2.0 |
FWDselect Selecting Variables in Regression Models | 2.1.0 |
fwildclusterboot Fast Wild Cluster Bootstrap Inference for Linear Models | 0.13.0 |
fwlplot Scatter Plot After Residualizing Using 'fixest' Package | 0.3.0 |
FWRGB Fresh Weight Determination from Visual Image of the Plant | 0.1.0 |
fwsim Fisher-Wright Population Simulation | 0.3.4 |
fxl 'fxl' Single Case Design Charting Package | 1.7.1 |
fxregime Exchange Rate Regime Analysis | 1.0-4 |
fxTWAPLS An Improved Version of WA-PLS | 0.1.3 |
fy Utilities for Financial Years | 0.4.2 |
GA Genetic Algorithms | 3.2.4 |
gam Generalized Additive Models | 1.22-5 |
gamboostLSS Boosting Methods for 'GAMLSS' | 2.0-7 |
gamlr Gamma Lasso Regression | 1.13-8 |
gamlss Generalized Additive Models for Location Scale and Shape | 5.4-22 |
gamlss.cens Fitting an Interval Response Variable Using `gamlss.family' Distributions | 5.0-7 |
gamlss.data Data for Generalised Additive Models for Location Scale and Shape | 6.0-6 |
gamlss.dist Distributions for Generalized Additive Models for Location Scale and Shape | 6.1-1 |
gamlss.tr Generating and Fitting Truncated `gamlss.family' Distributions | 5.1-9 |
gamm4 Generalized Additive Mixed Models using 'mgcv' and 'lme4' | 0.2-6 |
gap Genetic Analysis Package | 1.6 |
gap.datasets Datasets for 'gap' | 0.0.6 |
gapminder Data from Gapminder | 1.0.0 |
gargle Utilities for Working with Google APIs | 1.5.2 |
GAS Generalized Autoregressive Score Models | 0.3.4.1 |
gaston Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models | 1.6 |
GauPro Gaussian Process Fitting | 0.2.13 |
gaussquad Collection of Functions for Gaussian Quadrature | 1.0-3 |
gawdis Multi-Trait Dissimilarity with more Uniform Contributions | 0.1.5 |
GB2 Generalized Beta Distribution of the Second Kind: Properties, Likelihood, Estimation | 2.1.1 |
GBJ Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies | 0.5.4 |
gbm Generalized Boosted Regression Models | 2.2.2 |
gbutils Utilities for Simulation, Plots, Quantile Functions and Programming | 0.5 |
gcdnet The (Adaptive) LASSO and Elastic Net Penalized Least Squares, Logistic Regression, Hybrid Huberized Support Vector Machines, Squared Hinge Loss Support Vector Machines and Expectile Regression using a Fast Generalized Coordinate Descent Algorithm | 1.0.6 |
gclus Clustering Graphics | 1.3.2 |
gcrma | 2.78.0 |
gdalraster Bindings to the 'Geospatial Data Abstraction Library' Raster API | 1.11.1 |
gdata Various R Programming Tools for Data Manipulation | 3.0.1 |
GDINA The Generalized DINA Model Framework | 2.9.4 |
gdistance Distances and Routes on Geographical Grids | 1.6.4 |
gdsfmt | 1.42.0 |
gdtools Utilities for Graphical Rendering and Fonts Management | 0.4.1 |
gdverse Analysis of Spatial Stratified Heterogeneity | 1.3-1 |
gee Generalized Estimation Equation Solver | 4.13-29 |
geeM Solve Generalized Estimating Equations | 0.10.1 |
geepack Generalized Estimating Equation Package | 1.3.12 |
geex An API for M-Estimation | 1.1.1 |
geigen Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack | 2.3 |
geiger Analysis of Evolutionary Diversification | 2.0.11 |
gelnet Generalized Elastic Nets | 1.2.1 |
gemini.R Interface for 'Google Gemini' API | 0.6.1 |
gemtc Network Meta-Analysis Using Bayesian Methods | 1.0-2 |
gena Genetic Algorithm and Particle Swarm Optimization | 1.0.0 |
genalg R Based Genetic Algorithm | 0.2.1 |
GenBinomApps Clopper-Pearson Confidence Interval and Generalized Binomial Distribution | 1.2.1 |
gender Predict Gender from Names Using Historical Data | 0.6.0 |
geneExpressionFromGEO Easily Downloads a Gene Expression Dataset from a GEO Code and Retrieves the Gene Symbols of Its Probesets | 0.9 |
genefilter | 1.88.0 |
GeneNet Modeling and Inferring Gene Networks | 1.2.16 |
generalCorr Generalized Correlations, Causal Paths and Portfolio Selection | 1.2.6 |
GeneralisedCovarianceMeasure Test for Conditional Independence Based on the Generalized Covariance Measure (GCM) | 0.2.0 |
GeneralizedHyperbolic The Generalized Hyperbolic Distribution | 0.8-6 |
GeneralizedUmatrix Credible Visualization for Two-Dimensional Projections of Data | 1.2.6 |
generics Common S3 Generics not Provided by Base R Methods Related to Model Fitting | 0.1.3 |
GenEst Generalized Mortality Estimator | 1.4.9 |
genetics Population Genetics | 1.3.8.1.3 |
GENIE3 | 1.28.0 |
genieclust Fast and Robust Hierarchical Clustering with Noise Points Detection | 1.1.6 |
genio Genetics Input/Output Functions | 1.1.2 |
genlasso Path Algorithm for Generalized Lasso Problems | 1.6.1 |
GenomeInfoDb | 1.42.1 |
GenomeInfoDbData | 1.2.13 |
GenomicAlignments | 1.42.0 |
GenomicFeatures | 1.58.0 |
GenomicInteractions | 1.40.0 |
GenomicRanges | 1.58.0 |
GenOrd Simulation of Discrete Random Variables with Given Correlation Matrix and Marginal Distributions | 1.4.0 |
GenSA R Functions for Generalized Simulated Annealing | 1.1.14.1 |
geobr Download Official Spatial Data Sets of Brazil | 1.9.1 |
geodata Download Geographic Data | 0.6-2 |
geodist Fast, Dependency-Free Geodesic Distance Calculations | 0.1.0 |
geodiv Methods for Calculating Gradient Surface Metrics | 1.1.0 |
geohashTools Tools for Working with Geohashes | 0.3.3 |
geojson Classes for 'GeoJSON' | 0.3.5 |
geojsonio Convert Data from and to 'GeoJSON' or 'TopoJSON' | 0.11.3 |
geojsonsf GeoJSON to Simple Feature Converter | 2.0.3 |
geomander Geographic Tools for Studying Gerrymandering | 2.3.0 |
GEOmap Topographic and Geologic Mapping | 2.5-11 |
geometa Tools for Reading and Writing ISO/OGC Geographic Metadata | 0.8-0 |
GEOmetadb | 1.66.0 |
geometries Convert Between R Objects and Geometric Structures | 0.2.4 |
geometry Mesh Generation and Surface Tessellation | 0.5.0 |
geomorph Geometric Morphometric Analyses of 2D and 3D Landmark Data | 4.0.9 |
geomtextpath Curved Text in 'ggplot2' | 0.1.4 |
geonames Interface to the "Geonames" Spatial Query Web Service | 0.999 |
GEOquery | 2.74.0 |
geoR Analysis of Geostatistical Data | 1.9-4 |
geos Open Source Geometry Engine ('GEOS') R API | 0.2.4 |
geoscale Geological Time Scale Plotting | 2.0.1 |
geosphere Spherical Trigonometry | 1.5-20 |
geouy Geographic Information of Uruguay | 0.2.8 |
geozoo Zoo of Geometric Objects | 0.5.1 |
geppe Generalised Exponential Poisson and Poisson Exponential Distributions | 1.0 |
gert Simple Git Client for R | 2.1.4 |
GET Global Envelopes | 1.0-4 |
getip 'IP' Address 'Lookup' | 0.1-4 |
getopt C-Like 'getopt' Behavior | 1.20.4 |
GetoptLong Parsing Command-Line Arguments and Simple Variable Interpolation | 1.0.5 |
getPass Masked User Input | 0.2-4 |
gets General-to-Specific (GETS) Modelling and Indicator Saturation Methods | 0.38 |
GFDmcv General Hypothesis Testing Problems for Multivariate Coefficients of Variation | 0.1.0 |
GFM Generalized Factor Model | 1.2.1 |
ggalluvial Alluvial Plots in 'ggplot2' | 0.12.5 |
GGally Extension to 'ggplot2' | 2.2.1 |
ggalt Extra Coordinate Systems, 'Geoms', Statistical Transformations, Scales and Fonts for 'ggplot2' | 0.4.0 |
gganimate A Grammar of Animated Graphics | 1.0.9 |
ggbeeswarm Categorical Scatter (Violin Point) Plots | 0.7.2 |
ggbio | 1.54.0 |
ggbreak Set Axis Break for 'ggplot2' | 0.1.2 |
ggbump Bump Chart and Sigmoid Curves | 0.1.0 |
ggcharts Shorten the Distance from Data Visualization Idea to Actual Plot | 0.2.1 |
ggcorrplot Visualization of a Correlation Matrix using 'ggplot2' | 0.1.4.1 |
ggdag Analyze and Create Elegant Directed Acyclic Graphs | 0.2.13 |
ggdemetra 'ggplot2' Extension for Seasonal and Trading Day Adjustment with 'RJDemetra' | 0.2.8 |
ggdendro Create Dendrograms and Tree Diagrams Using 'ggplot2' | 0.2.0 |
ggdensity Interpretable Bivariate Density Visualization with 'ggplot2' | 1.0.0 |
ggdist Visualizations of Distributions and Uncertainty | 3.3.2 |
ggeasy Easy Access to 'ggplot2' Commands | 0.1.5 |
ggedit Interactive 'ggplot2' Layer and Theme Aesthetic Editor | 0.4.1 |
ggeffects Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs | 2.0.0 |
ggExtra Add Marginal Histograms to 'ggplot2', and More 'ggplot2' Enhancements | 0.10.1 |
ggfittext Fit Text Inside a Box in 'ggplot2' | 0.10.2 |
ggforce Accelerating 'ggplot2' | 0.4.2 |
ggformula Formula Interface to the Grammar of Graphics | 0.12.0 |
ggfortify Data Visualization Tools for Statistical Analysis Results | 0.4.17 |
ggfun Miscellaneous Functions for 'ggplot2' | 0.1.8 |
ggfx Pixel Filters for 'ggplot2' and 'grid' | 1.0.1 |
gggibbous Moon Charts, a Pie Chart Alternative | 0.1.1 |
gggrid Draw with 'grid' in 'ggplot2' | 0.2-0 |
ggh4x Hacks for 'ggplot2' | 0.3.0 |
gghalves Compose Half-Half Plots Using Your Favourite Geoms | 0.1.4 |
ggimage Use Image in 'ggplot2' | 0.3.3 |
gginnards Explore the Innards of 'ggplot2' Objects | 0.2.0-1 |
GGIR Raw Accelerometer Data Analysis | 3.1-5 |
ggiraph Make 'ggplot2' Graphics Interactive | 0.8.11 |
ggiraphExtra Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph' | 0.3.0 |
GGIRread Wearable Accelerometer Data File Readers | 1.0.2 |
ggkegg | 1.4.0 |
gglasso Group Lasso Penalized Learning Using a Unified BMD Algorithm | 1.5.1 |
ggm Graphical Markov Models with Mixed Graphs | 2.5.1 |
ggmap Spatial Visualization with ggplot2 | 4.0.0 |
ggmcmc Tools for Analyzing MCMC Simulations from Bayesian Inference | 1.5.1.1 |
ggmosaic Mosaic Plots in the 'ggplot2' Framework | 0.3.3 |
GGMridge Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation | 1.4 |
ggmulti High Dimensional Data Visualization | 1.0.7 |
ggnetwork Geometries to Plot Networks with 'ggplot2' | 0.5.13 |
ggnewscale Multiple Fill and Colour Scales in 'ggplot2' | 0.5.0 |
ggnormalviolin A 'ggplot2' Extension to Make Normal Violin Plots | 0.1.2 |
ggokabeito 'Okabe-Ito' Scales for 'ggplot2' and 'ggraph' | 0.1.0 |
ggparty 'ggplot' Visualizations for the 'partykit' Package | 1.0.0 |
ggpath Robust Image Rendering Support for 'ggplot2' | 1.0.2 |
ggpattern 'ggplot2' Pattern Geoms | 1.1.3 |
ggplot2 Create Elegant Data Visualisations Using the Grammar of Graphics | 3.5.1 |
ggplotify Convert Plot to 'grob' or 'ggplot' Object | 0.1.2 |
ggpmisc Miscellaneous Extensions to 'ggplot2' | 0.6.1 |
ggpointdensity A Cross Between a 2D Density Plot and a Scatter Plot | 0.1.0 |
ggpolypath Polygons with Holes for the Grammar of Graphics | 0.3.0 |
ggpp Grammar Extensions to 'ggplot2' | 0.5.8-1 |
ggprism A 'ggplot2' Extension Inspired by 'GraphPad Prism' | 1.0.5 |
ggpubr 'ggplot2' Based Publication Ready Plots | 0.6.0 |
ggquiver Quiver Plots for 'ggplot2' | 0.3.3 |
ggraph An Implementation of Grammar of Graphics for Graphs and Networks | 2.2.1 |
ggrastr Rasterize Layers for 'ggplot2' | 1.0.2 |
ggredist Scales, Geometries, and Extensions of 'ggplot2' for Election Mapping | 0.0.2 |
ggrepel Automatically Position Non-Overlapping Text Labels with 'ggplot2' | 0.9.6 |
ggridges Ridgeline Plots in 'ggplot2' | 0.5.6 |
ggsci Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2' | 3.2.0 |
ggseg Plotting Tool for Brain Atlases | 1.6.5 |
ggseqlogo A 'ggplot2' Extension for Drawing Publication-Ready Sequence Logos | 0.2 |
ggside Side Grammar Graphics | 0.3.1 |
ggsignif Significance Brackets for 'ggplot2' | 0.6.4 |
ggspatial Spatial Data Framework for ggplot2 | 1.1.9 |
ggstance Horizontal 'ggplot2' Components | 0.3.7 |
ggstar Multiple Geometric Shape Point Layer for 'ggplot2' | 1.0.4 |
ggstats Extension to 'ggplot2' for Plotting Stats | 0.7.0 |
ggstatsplot 'ggplot2' Based Plots with Statistical Details | 0.13.0 |
ggsurvfit Flexible Time-to-Event Figures | 1.1.0 |
ggtangle Draw Network with Data | 0.0.5 |
ggtern An Extension to 'ggplot2', for the Creation of Ternary Diagrams | 3.5.0 |
ggtext Improved Text Rendering Support for 'ggplot2' | 0.1.2 |
ggthemes Extra Themes, Scales and Geoms for 'ggplot2' | 5.1.0 |
ggtree | 3.14.0 |
GGUM Generalized Graded Unfolding Model | 0.5 |
ggupset Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots | 0.4.0 |
ggvenn Draw Venn Diagram by 'ggplot2' | 0.1.10 |
ggVennDiagram A 'ggplot2' Implement of Venn Diagram | 1.5.2 |
ggvis Interactive Grammar of Graphics | 0.4.9 |
ggwordcloud A Word Cloud Geom for 'ggplot2' | 0.6.2 |
gh 'GitHub' 'API' | 1.4.1 |
ghql General Purpose 'GraphQL' Client | 0.1.0 |
ghyp Generalized Hyperbolic Distribution and Its Special Cases | 1.6.5 |
Gifi Multivariate Analysis with Optimal Scaling | 0.4-0 |
gifski Highest Quality GIF Encoder | 1.32.0-1 |
gifti Reads in 'Neuroimaging' 'GIFTI' Files with Geometry Information | 0.8.0 |
GIGrvg Random Variate Generator for the GIG Distribution | 0.8 |
GillespieSSA2 Gillespie's Stochastic Simulation Algorithm for Impatient People | 0.3.0 |
GiRaF Gibbs Random Fields Analysis | 1.0.1 |
giscoR Download Map Data from GISCO API - Eurostat | 0.6.0 |
gistr Work with 'GitHub' 'Gists' | 0.9.0 |
git2r Provides Access to Git Repositories | 0.35.0 |
gitcreds Query 'git' Credentials from 'R' | 0.1.2 |
GJRM Generalised Joint Regression Modelling | 0.2-6.7 |
glamlasso Penalization in Large Scale Generalized Linear Array Models | 3.0.1 |
glarma Generalized Linear Autoregressive Moving Average Models | 1.6-0 |
glasso Graphical Lasso: Estimation of Gaussian Graphical Models | 1.11 |
glassoFast Fast Graphical LASSO | 1.0.1 |
GLCMTextures GLCM Textures of Raster Layers | 0.4.2 |
gld Estimation and Use of the Generalised (Tukey) Lambda Distribution | 2.6.6 |
GLDEX Fitting Single and Mixture of Generalised Lambda Distributions | 2.0.0.9.3 |
glinternet Learning Interactions via Hierarchical Group-Lasso Regularization | 1.0.12 |
glm2 Fitting Generalized Linear Models | 1.2.1 |
glme Generalized Linear Mixed Effects Models | 0.1.0 |
glmertree Generalized Linear Mixed Model Trees | 0.2-6 |
GLMMadaptive Generalized Linear Mixed Models using Adaptive Gaussian Quadrature | 0.9-1 |
glmmLasso Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation | 1.6.3 |
glmmML Generalized Linear Models with Clustering | 1.1.7 |
glmmrBase Generalised Linear Mixed Models in R | 0.11.2 |
glmmTMB Generalized Linear Mixed Models using Template Model Builder | 1.1.10 |
glmnet Lasso and Elastic-Net Regularized Generalized Linear Models | 4.1-8 |
glmnetcr Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response | 1.0.6 |
glmnetUtils Utilities for 'Glmnet' | 1.1.9 |
glmpath L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model | 0.98 |
glmpca Dimension Reduction of Non-Normally Distributed Data | 0.2.0 |
glmx Generalized Linear Models Extended | 0.2-1 |
GlobalAncova | 4.24.0 |
GlobalOptions Generate Functions to Get or Set Global Options | 0.1.2 |
globalOptTests Objective functions for benchmarking the performance of global optimization algorithms | 1.1 |
globals Identify Global Objects in R Expressions | 0.16.3 |
globaltest | 5.60.0 |
glpkAPI R Interface to C API of GLPK | 1.3.4 |
glue Interpreted String Literals | 1.8.0 |
gmailr Access the 'Gmail' 'RESTful' API | 2.0.0 |
Gmedian Geometric Median, k-Medians Clustering and Robust Median PCA | 1.2.7 |
Gmisc Descriptive Statistics, Transition Plots, and More | 3.0.3 |
gmm Generalized Method of Moments and Generalized Empirical Likelihood | 1.8 |
GMMAT Generalized Linear Mixed Model Association Tests | 1.4.2 |
gmodels Various R Programming Tools for Model Fitting | 2.19.1 |
gMOIP Tools for 2D and 3D Plots of Single and Multi-Objective Linear/Integer Programming Models | 1.5.4 |
gmp Multiple Precision Arithmetic | 0.7-5 |
gms 'GAMS' Modularization Support Package | 0.31.2 |
GMSE Generalised Management Strategy Evaluation Simulator | 1.0.0.2 |
GMSimpute Generalized Mass Spectrum Missing Peaks Abundance Imputation | 0.0.1.0 |
gnm Generalized Nonlinear Models | 1.1-5 |
gnorm Generalized Normal/Exponential Power Distribution | 1.0.0 |
GO.db | 3.20.0 |
go2bigq Convert Large Numbers to Bigq Format | 2.0.1 |
goffda Goodness-of-Fit Tests for Functional Data | 0.1.2 |
GoFKernel Testing Goodness-of-Fit with the Kernel Density Estimator | 2.1-3 |
goftest Classical Goodness-of-Fit Tests for Univariate Distributions | 1.2-3 |
golem A Framework for Robust Shiny Applications | 0.5.1 |
googleAuthR Authenticate and Create Google APIs | 2.0.2 |
googleCloudStorageR Interface with Google Cloud Storage API | 0.7.0 |
googleCloudVisionR Access to the 'Google Cloud Vision' API for Image Recognition, OCR and Labeling | 0.2.0 |
googledrive An Interface to Google Drive | 2.1.1 |
googleLanguageR Call Google's 'Natural Language' API, 'Cloud Translation' API, 'Cloud Speech' API and 'Cloud Text-to-Speech' API | 0.3.0 |
googlePolylines Encoding Coordinates into 'Google' Polylines | 0.8.5 |
googlesheets4 Access Google Sheets using the Sheets API V4 | 1.1.1 |
googleVis R Interface to Google Charts | 0.7.3 |
googleway Accesses Google Maps APIs to Retrieve Data and Plot Maps | 2.7.8 |
GOSemSim | 2.32.0 |
GOstats | 2.72.0 |
gower Gower's Distance | 1.0.1 |
gp Maximum Likelihood Estimation of the Generalized Poisson Distribution | 1.1 |
GPArotation Gradient Projection Factor Rotation | 2024.3-1 |
GPFDA Gaussian Process for Functional Data Analysis | 3.1.3 |
GPfit Gaussian Processes Modeling | 1.0-8 |
GpGp Fast Gaussian Process Computation Using Vecchia's Approximation | 0.5.1 |
gpindex Generalized Price and Quantity Indexes | 0.6.2 |
gplots Various R Programming Tools for Plotting Data | 3.2.0 |
gprofiler2 Interface to the 'g:Profiler' Toolset | 0.2.3 |
GPvecchia Scalable Gaussian-Process Approximations | 0.1.7 |
gRain Bayesian Networks | 1.4.5 |
grantham Calculate the Grantham Distance | 0.1.2 |
graph graph: A package to handle graph data structures | 1.84.0 |
grapherator A Modular Multi-Step Graph Generator | 1.0.0 |
graphicalVAR Graphical VAR for Experience Sampling Data | 0.3.4 |
graphics | 4.4.2 |
graphite GRAPH Interaction from pathway Topological Environment | 1.52.0 |
graphlayouts Additional Layout Algorithms for Network Visualizations | 1.2.1 |
graphon A Collection of Graphon Estimation Methods | 0.3.5 |
graphql A GraphQL Query Parser | 1.5.2 |
gratia Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv' | 0.9.2 |
gRaven Bayes Nets: 'RHugin' Emulation with 'gRain' | 1.1.10 |
gRbase A Package for Graphical Modelling in R | 2.0.3 |
grDevices | 4.4.2 |
GreedyExperimentalDesign Greedy Experimental Design Construction | 1.5.6.1 |
greekLetters Routines for Writing Greek Letters and Mathematical Symbols on the 'RStudio' and 'RGui' | 1.0.4 |
GREMLINS Generalized Multipartite Networks | 0.2.1 |
greybox Toolbox for Model Building and Forecasting | 2.0.3 |
grf Generalized Random Forests | 2.4.0 |
grid The Grid Graphics Package | 4.4.2 |
gridBase Integration of base and grid graphics | 0.4-7 |
gridBezier Bezier Curves in 'grid' | 1.1-1 |
GRIDCOPULA Bivariate Copula Functions Based on Regular Grid | 1.0.1 |
gridExtra Miscellaneous Functions for "Grid" Graphics | 2.3 |
gridGeometry Polygon Geometry in 'grid' | 0.4-0 |
gridGraphics Redraw Base Graphics Using 'grid' Graphics | 0.5-1 |
gridpattern 'grid' Pattern Grobs | 1.2.2 |
gridSVG Export 'grid' Graphics as SVG | 1.7-5 |
gridtext Improved Text Rendering Support for 'Grid' Graphics | 0.1.5 |
grImport Importing Vector Graphics | 0.9-7 |
grImport2 Importing 'SVG' Graphics | 0.3-3 |
grnn General regression neural network | 0.1.0 |
groupdata2 Creating Groups from Data | 2.0.3 |
groupICA Independent Component Analysis for Grouped Data | 0.1.1 |
grplasso Fitting User-Specified Models with Group Lasso Penalty | 0.4-7 |
grpreg Regularization Paths for Regression Models with Grouped Covariates | 3.5.0 |
grr Alternative Implementations of Base R Functions | 0.9.5 |
gsarima Two Functions for Generalized SARIMA Time Series Simulation | 0.1-5 |
gsDesign Group Sequential Design | 3.6.5 |
GSE Robust Estimation in the Presence of Cellwise and Casewise Contamination and Missing Data | 4.2-1 |
GSEABase | 1.68.0 |
gsheet Download Google Sheets Using Just the URL | 0.4.6 |
gsignal Signal Processing | 0.3-7 |
gsl Wrapper for the Gnu Scientific Library | 2.1-8 |
gson Base Class and Methods for 'gson' Format | 0.1.0 |
gss General Smoothing Splines | 2.2-8 |
gstat Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation | 2.1-2 |
gsubfn Utilities for Strings and Function Arguments | 0.7 |
GSVA | 2.0.2 |
GSVAdata | 1.42.0 |
gsw Gibbs Sea Water Functions | 1.2-0 |
gt Easily Create Presentation-Ready Display Tables | 0.11.1 |
gtable Arrange 'Grobs' in Tables | 0.3.6 |
gtExtras Extending 'gt' for Beautiful HTML Tables | 0.5.0 |
gtools Various R Programming Tools | 3.9.5 |
gtsummary Presentation-Ready Data Summary and Analytic Result Tables | 2.0.4 |
GUILDS Implementation of Sampling Formulas for the Unified Neutral Model of Biodiversity and Biogeography, with or without Guild Structure | 1.4.6 |
gumbel The Gumbel-Hougaard Copula | 1.10-3 |
GUniFrac Generalized UniFrac Distances, Distance-Based Multivariate Methods and Feature-Based Univariate Methods for Microbiome Data Analysis | 1.8 |
gunit Converts Conductance Units | 1.0.2 |
Gviz | 1.50.0 |
gvlma Global Validation of Linear Models Assumptions | 1.0.0.3 |
gWidgets2 Rewrite of gWidgets API for Simplified GUI Construction | 1.0-10 |
gWidgets2tcltk Toolkit Implementation of gWidgets2 for tcltk | 1.0-8 |
GWmodel Geographically-Weighted Models | 2.4-1 |
gWQS Generalized Weighted Quantile Sum Regression | 3.0.5 |
GWRM Generalized Waring Regression Model for Count Data | 2.1.0.4 |
gyro Hyperbolic Geometry | 1.4.0 |
h2o R Interface for the 'H2O' Scalable Machine Learning Platform | 3.44.0.3 |
h2otools Machine Learning Model Evaluation for 'h2o' Package | 0.3 |
h3jsr Access Uber's H3 Library | 1.3.1 |
hablar Non-Astonishing Results in R | 0.3.2 |
HAC Estimation, Simulation and Visualization of Hierarchical Archimedean Copulae (HAC) | 1.1-1 |
hahmmr Haplotype-Aware Hidden Markov Model for RNA | 1.0.0 |
hal9001 The Scalable Highly Adaptive Lasso | 0.4.6 |
haldensify Highly Adaptive Lasso Conditional Density Estimation | 0.2.3 |
hamlet Hierarchical Optimal Matching and Machine Learning Toolbox | 0.9.6 |
HandTill2001 Multiple Class Area under ROC Curve | 1.0.1 |
haplo.stats Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous | 1.9.7 |
HaploSim Functions to Simulate Haplotypes | 1.8.4.2 |
hardhat Construct Modeling Packages | 1.4.0 |
HardyWeinberg Statistical Tests and Graphics for Hardy-Weinberg Equilibrium | 1.7.8 |
harmonicmeanp Harmonic Mean p-Values and Model Averaging by Mean Maximum Likelihood | 3.0.1 |
harmony Fast, Sensitive, and Accurate Integration of Single Cell Data | 1.2.3 |
hash Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries | 2.2.6.3 |
haven Import and Export 'SPSS', 'Stata' and 'SAS' Files | 2.5.4 |
hawkes Hawkes process simulation and calibration toolkit | 0.0-4 |
hbmem Hierarchical Bayesian Analysis of Recognition Memory | 0.3-4 |
hbsae Hierarchical Bayesian Small Area Estimation | 1.2 |
hce Design and Analysis of Hierarchical Composite Endpoints | 0.6.5 |
hclust1d Hierarchical Clustering of Univariate (1d) Data | 0.1.1 |
hda Heteroscedastic Discriminant Analysis | 0.2-14 |
hdbinseg Change-Point Analysis of High-Dimensional Time Series via Binary Segmentation | 1.0.2 |
HDCI High Dimensional Confidence Interval Based on Lasso and Bootstrap | 1.0-2 |
HDclassif High Dimensional Supervised Classification and Clustering | 2.2.1 |
HDF5Array | 1.34.0 |
hdf5r Interface to the 'HDF5' Binary Data Format | 1.3.11 |
hdi High-Dimensional Inference | 0.1-9 |
HDInterval Highest (Posterior) Density Intervals | 0.2.4 |
hdm High-Dimensional Metrics | 0.3.2 |
HDMT A Multiple Testing Procedure for High-Dimensional Mediation Hypotheses | 1.0.5 |
HDoutliers Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers | 1.0.4 |
hdrcde Highest Density Regions and Conditional Density Estimation | 3.4 |
HDtweedie The Lasso for Tweedie's Compound Poisson Model Using an IRLS-BMD Algorithm | 1.2 |
heatmap3 An Improved Heatmap Package | 1.1.9 |
heatmapFlex Tools to Generate Flexible Heatmaps | 0.1.2 |
heatmaply Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2' | 1.5.0 |
Heatplus | 3.14.0 |
hellno Providing 'stringsAsFactors=FALSE' Variants of 'data.frame()' and 'as.data.frame()' | 0.0.1 |
HelpersMG Tools for Environmental Analyses, Ecotoxicology and Various R Functions | 6.3 |
heplots Visualizing Hypothesis Tests in Multivariate Linear Models | 1.7.1 |
here A Simpler Way to Find Your Files | 1.0.1 |
hermite Generalized Hermite Distribution | 1.1.2 |
hetGP Heteroskedastic Gaussian Process Modeling and Design under Replication | 1.1.7 |
hett Heteroscedastic t-Regression | 0.3-3 |
hexbin Hexagonal Binning Routines | 1.28.5 |
hexSticker Create Hexagon Sticker in R | 0.4.9 |
hexView Viewing Binary Files | 0.3-4 |
hglasso Learning Graphical Models with Hubs | 1.3 |
HGNChelper Identify and Correct Invalid HGNC Human Gene Symbols and MGI Mouse Gene Symbols | 0.8.15 |
hgu95a.db | 3.13.0 |
HH Statistical Analysis and Data Display: Heiberger and Holland | 3.1-52 |
HiClimR Hierarchical Climate Regionalization | 2.2.1 |
hidecan Create HIDECAN Plots for Visualising Genome-Wide Association Studies and Differential Expression Results | 1.1.0 |
hierfstat Estimation and Tests of Hierarchical F-Statistics | 0.5-11 |
hierNet A Lasso for Hierarchical Interactions | 1.9 |
highcharter A Wrapper for the 'Highcharts' Library | 0.9.4 |
highlight Syntax Highlighter | 0.5.1 |
highr Syntax Highlighting for R Source Code | 0.11 |
highs 'HiGHS' Optimization Solver | 0.1-10 |
higlasso Hierarchical Integrative Group LASSO | 0.9.0 |
hillR Diversity Through Hill Numbers | 0.5.2 |
hipread Read Hierarchical Fixed Width Files | 0.2.4 |
HistData Data Sets from the History of Statistics and Data Visualization | 0.9-1 |
histogram Construction of Regular and Irregular Histograms with Different Options for Automatic Choice of Bins | 0.0-25 |
hitandrun "Hit and Run" and "Shake and Bake" for Sampling Uniformly from Convex Shapes | 0.5-6 |
HLMdiag Diagnostic Tools for Hierarchical (Multilevel) Linear Models | 0.5.0 |
HMDHFDplus Read Human Mortality Database and Human Fertility Database Data from the Web | 2.0.3 |
hmeasure The H-Measure and Other Scalar Classification Performance Metrics | 1.0-2 |
Hmisc Harrell Miscellaneous | 5.2-1 |
HMM Hidden Markov Models | 1.0.1 |
HMMpa Analysing Accelerometer Data Using Hidden Markov Models | 1.0.1 |
hms Pretty Time of Day | 1.1.3 |
hnp Half-Normal Plots with Simulation Envelopes | 1.2-6 |
hoardr Manage Cached Files | 0.5.4 |
hommel Methods for Closed Testing with Simes Inequality, in Particular Hommel's Method | 1.6 |
homomorpheR Homomorphic Computations in R | 0.2-2 |
hornpa Horn's (1965) Test to Determine the Number of Components/Factors | 1.1.0 |
horseshoe Implementation of the Horseshoe Prior | 0.2.0 |
hot.deck Multiple Hot Deck Imputation | 1.2 |
Hotelling Hotelling's T^2 Test and Variants | 1.0-8 |
hpa Distributions Hermite Polynomial Approximation | 1.3.3 |
hqreg Regularization Paths for Lasso or Elastic-Net Penalized Huber Loss Regression and Quantile Regression | 1.4-1 |
hrbrthemes Additional Themes, Theme Components and Utilities for 'ggplot2' | 0.8.7 |
hrqglas Group Variable Selection for Quantile and Robust Mean Regression | 1.1.0 |
HRW Datasets, Functions and Scripts for Semiparametric Regression Supporting Harezlak, Ruppert & Wand (2018) | 1.0-5 |
HSAUR A Handbook of Statistical Analyses Using R (1st Edition) | 1.3-10 |
HSAUR2 A Handbook of Statistical Analyses Using R (2nd Edition) | 1.1-20 |
HSAUR3 A Handbook of Statistical Analyses Using R (3rd Edition) | 1.0-15 |
htm2txt Convert Html into Text | 2.2.2 |
html5 Creates Valid HTML5 Strings | 1.0.2 |
htmlTable Advanced Tables for Markdown/HTML | 2.4.3 |
htmltools Tools for HTML | 0.5.8.1 |
htmlwidgets HTML Widgets for R | 1.6.4 |
hts Hierarchical and Grouped Time Series | 6.0.3 |
httpcache Query Cache for HTTP Clients | 1.2.0 |
httpcode 'HTTP' Status Code Helper | 0.3.0 |
httptest A Test Environment for HTTP Requests | 4.2.2 |
httpuv HTTP and WebSocket Server Library | 1.6.15 |
httr Tools for Working with URLs and HTTP | 1.4.7 |
httr2 Perform HTTP Requests and Process the Responses | 1.0.7 |
huge High-Dimensional Undirected Graph Estimation | 1.3.5 |
humaniformat A Parser for Human Names | 0.6.0 |
humanize Create Values for Human Consumption | 0.2.0 |
hunspell High-Performance Stemmer, Tokenizer, and Spell Checker | 3.0.5 |
hurricaneexposure Explore and Map County-Level Hurricane Exposure in the United States | 0.1.1 |
hutils Miscellaneous R Functions and Aliases | 1.8.1 |
huxtable Easily Create and Style Tables for LaTeX, HTML and Other Formats | 5.5.7 |
hwordcloud Rendering Word Clouds | 0.1.0 |
hwriter HTML Writer - Outputs R Objects in HTML Format | 1.3.2.1 |
hydroGOF Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series | 0.6-0.1 |
hydroloom Utilities to Weave Hydrologic Fabrics | 1.1.0 |
hydrostats Hydrologic Indices for Daily Time Series Data | 0.2.9 |
hydroTSM Time Series Management and Analysis for Hydrological Modelling | 0.7-0.1 |
hyper2 The Hyperdirichlet Distribution, Mark 2 | 3.1-0 |
HyperbolicDist The Hyperbolic Distribution | 0.6-5 |
hypergeo The Gauss Hypergeometric Function | 1.2-13 |
hypergeo2 Generalized Hypergeometric Function with Tunable High Precision | 0.2.0 |
hyperSpec Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...) | 0.100.2 |
hypervolume High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls | 3.1.4 |
hypr Hypothesis Matrix Translation | 0.2.8 |
iapws Formulations of the International Association for the Properties of Water and Steam | 1.1 |
iBBiG | 1.50.0 |
ibd Incomplete Block Designs | 1.6 |
ibdsim2 Simulation of Chromosomal Regions Shared by Family Members | 2.1.1 |
ibelief Belief Function Implementation | 1.3.1 |
iBreakDown Model Agnostic Instance Level Variable Attributions | 2.1.2 |
ic.infer Inequality Constrained Inference in Linear Normal Situations | 1.1-7 |
ica Independent Component Analysis | 1.0-3 |
iCAMP Infer Community Assembly Mechanisms by Phylogenetic-Bin-Based Null Model Analysis | 1.5.12 |
ICC Facilitating Estimation of the Intraclass Correlation Coefficient | 2.4.0 |
ICC.Sample.Size Calculation of Sample Size and Power for ICC | 1.0 |
icenReg Regression Models for Interval Censored Data | 2.0.16 |
Icens NPMLE for Censored and Truncated Data | 1.78.0 |
ICGE Estimation of Number of Clusters and Identification of Atypical Units | 0.4.2 |
ICS Tools for Exploring Multivariate Data via ICS/ICA | 1.4-1 |
ICSNP Tools for Multivariate Nonparametrics | 1.1-2 |
idefix Efficient Designs for Discrete Choice Experiments | 1.0.3 |
IDetect Isolate-Detect Methodology for Multiple Change-Point Detection | 0.1.0 |
IDPmisc 'Utilities of Institute of Data Analyses and Process Design (www.zhaw.ch/idp)' | 1.1.21 |
idr Irreproducible Discovery Rate | 1.3 |
ids Generate Random Identifiers | 1.0.1 |
ife Influence Function Based Estimate Objects | 0.1.0 |
igraph Network Analysis and Visualization | 2.1.2 |
IHSEP Inhomogeneous Self-Exciting Process | 0.3.1 |
ijtiff Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files | 2.3.4 |
IlluminaHumanMethylation450kanno.ilmn12.hg19 | 0.6.1 |
IlluminaHumanMethylationEPICanno.ilm10b4.hg19 | 0.6.0 |
illuminaio | 0.48.0 |
imager Image Processing Library Based on 'CImg' | 1.0.2 |
imguR An Imgur.com API Client Package | 1.0.3 |
iml Interpretable Machine Learning | 0.11.3 |
imp4p Imputation for Proteomics | 1.2 |
import An Import Mechanism for R | 1.3.2 |
impute impute: Imputation for microarray data | 1.80.0 |
imputeTestbench Test Bench for the Comparison of Imputation Methods | 3.0.3 |
imputeTS Time Series Missing Value Imputation | 3.3 |
iMRMC Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and Other Metrics) | 2.1.0 |
inaparc Initialization Algorithms for Partitioning Cluster Analysis | 1.2.0 |
incidence Compute, Handle, Plot and Model Incidence of Dated Events | 1.7.5 |
IndexNumR Index Number Calculation | 0.6.0 |
indicspecies Relationship Between Species and Groups of Sites | 1.7.15 |
ineq Measuring Inequality, Concentration, and Poverty | 0.2-13 |
iNEXT Interpolation and Extrapolation for Species Diversity | 3.0.1 |
infer Tidy Statistical Inference | 1.0.7 |
inflection Finds the Inflection Point of a Curve | 1.3.6 |
infotheo Information-Theoretic Measures | 1.2.0.1 |
ingredients Effects and Importances of Model Ingredients | 2.3.0 |
ini Read and Write '.ini' Files | 0.3.1 |
inlabru Bayesian Latent Gaussian Modelling using INLA and Extensions | 2.12.0 |
inline Functions to Inline C, C++, Fortran Function Calls from R | 0.3.20 |
insight Easy Access to Model Information for Various Model Objects | 1.0.0 |
InSilicoVA Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm | 1.4.0 |
inspectdf Inspection, Comparison and Visualisation of Data Frames | 0.0.12 |
intamap Procedures for Automated Interpolation | 1.5-7 |
interactions Comprehensive, User-Friendly Toolkit for Probing Interactions | 1.2.0 |
InteractionSet | 1.34.0 |
interactionTest Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots | 1.2 |
InteractiveComplexHeatmap | 1.14.0 |
intergraph Coercion Routines for Network Data Objects | 2.0-4 |
interleave Converts Tabular Data to Interleaved Vectors | 0.1.2 |
interp Interpolation Methods | 1.1-6 |
interpolation Interpolation of Bivariate Functions | 0.1.1 |
InterpretMSSpectrum Interpreting High Resolution Mass Spectra | 1.4.5 |
InterSIM Simulation of Inter-Related Genomic Datasets | 2.2.0 |
InterVA4 Replicate and Analyse 'InterVA4' | 1.7.6 |
InterVA5 Replicate and Analyse 'InterVA5' | 1.1.3 |
interval Weighted Logrank Tests and NPMLE for Interval Censored Data | 1.1-1.0 |
intervals Tools for Working with Points and Intervals | 0.15.5 |
IntervalSurgeon Operating on Integer-Bounded Intervals | 1.3 |
intmap Ordered Containers with Integer Keys | 1.0.0 |
intrval Relational Operators for Intervals | 0.1-3 |
inum Interval and Enum-Type Representation of Vectors | 1.0-5 |
invertiforms Invertible Transforms for Matrices | 0.1.1 |
investr Inverse Estimation/Calibration Functions | 1.4.2 |
invgamma The Inverse Gamma Distribution | 1.1 |
invGauss Threshold Regression that Fits the (Randomized Drift) Inverse Gaussian Distribution to Survival Data | 1.2 |
iotarelr Iota Inter Coder Reliability for Content Analysis | 0.1.5 |
iotools I/O Tools for Streaming | 0.3-5 |
IP Classes and Methods for 'IP' Addresses | 0.1.4 |
ip2location Lookup for IP Address Information | 8.1.3 |
ip2locationio Lookup Geolocation and Proxy Information using 'IP2Location.io' API | 1.0.0 |
ip2proxy Lookup for IP Address Proxy Information | 1.2.0 |
ip2whois Lookup 'WHOIS' Information for a Particular Domain | 1.0.0 |
ipa Convert Between Phonetic Alphabets | 0.1.0 |
ipaddress Data Analysis for IP Addresses and Networks | 1.0.2 |
ipADMIXTURE Iterative Pruning Population Admixture Inference Framework | 0.1.0 |
ipanema Read Data from 'LimeSurvey' | 1.1.0 |
ipbase Client for the 'ipbase.com' IP Geolocation API | 0.1.1 |
ipc Tools for Message Passing Between Processes | 0.1.4 |
IPCAPS Iterative Pruning to Capture Population Structure | 1.1.8 |
IPCWK Kendall's Tau Partial Corr. for Survival Trait and Biomarkers | 1.0 |
ipcwswitch Inverse Probability of Censoring Weights to Deal with Treatment Switch in Randomized Clinical Trials | 1.0.4 |
ipd Inference on Predicted Data | 0.1.3 |
IPDFileCheck Basic Functions to Check Readability, Consistency, and Content of an Individual Participant Data File | 0.8.1 |
IPDfromKM Map Digitized Survival Curves Back to Individual Patient Data | 0.1.10 |
ipdw Spatial Interpolation by Inverse Path Distance Weighting | 2.0-0 |
ipeadatar API Wrapper for 'Ipeadata' | 0.1.6 |
ipeaplot Add Ipea Editorial Standards to 'ggplot2' Graphics | 0.4.0 |
IPEC Root Mean Square Curvature Calculation | 1.1.0 |
IPEDS Data from the Integrated Post-Secondary Education Data System | 0.1.0 |
IPEDSuploadables Transforms Institutional Data into Text Files for IPEDS Automated Import/Upload | 2.10.0 |
iperform Time Series Performance | 0.0.3 |
ipflasso Integrative Lasso with Penalty Factors | 1.1 |
ipfp Fast Implementation of the Iterative Proportional Fitting Procedure in C | 1.0.2 |
ipfr List Balancing for Reweighting and Population Synthesis | 1.0.2 |
ipft Indoor Positioning Fingerprinting Toolset | 0.7.2 |
ipkg Install R Packages or Download File from GitHub via the Proxy Site | 1.1.1 |
IPLGP Identification of Parental Lines via Genomic Prediction | 2.0.5 |
iplookupapi Client for the 'iplookupapi.com' IP Lookup API | 0.1.0 |
iplots iPlots - Interactive Graphics for R | 1.1-8 |
IPMbook Functions and Data for the Book 'Integrated Population Models' | 0.1.5 |
ipmr Integral Projection Models | 0.0.7 |
ipolygrowth Individual Growth Curve Parameter Calculation using Polynomial Functions | 1.0.0 |
IPPP Inhomogeneous Poisson Point Processes | 1.1 |
ipr Iterative Proportional Repartition Algorithm | 0.1.0 |
ipred Improved Predictors | 0.9-15 |
iprior Regression Modelling using I-Priors | 0.7.4 |
iPRISM Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling | 0.1.1 |
ips Interfaces to Phylogenetic Software in R | 0.0.12 |
ipsecr Spatially Explicit Capture-Recapture by Inverse Prediction | 1.4.1 |
ipsfs Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity Measure | 1.0.0 |
ipsRdbs Introduction to Probability, Statistics and R for Data-Based Sciences | 1.0.0 |
ipumsr An R Interface for Downloading, Reading, and Handling IPUMS Data | 0.8.1 |
IPV Item Pool Visualization | 1.0.0 |
ipw Estimate Inverse Probability Weights | 1.2.1 |
IPWboxplot Adapted Boxplot to Missing Observations | 0.1.2 |
ipwCoxCSV Inverse Probability Weighted Cox Model with Corrected Sandwich Variance | 1.0 |
ipwErrorY Inverse Probability Weighted Estimation of Average Treatment Effect with Misclassified Binary Outcome | 2.1 |
IQCC Improved Quality Control Charts | 0.7 |
IRanges | 2.40.1 |
IRdisplay 'Jupyter' Display Machinery | 1.1 |
IRkernel Native R Kernel for the 'Jupyter Notebook' | 1.3.2 |
irlba Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices | 2.3.5.1 |
irr Various Coefficients of Interrater Reliability and Agreement | 0.84.1 |
irrCAC Computing Chance-Corrected Agreement Coefficients (CAC) | 1.0 |
irtoys A Collection of Functions Related to Item Response Theory (IRT) | 0.2.2 |
isdals Datasets for Introduction to Statistical Data Analysis for the Life Sciences | 3.0.1 |
IsingFit Fitting Ising Models Using the ELasso Method | 0.4 |
IsingSampler Sampling Methods and Distribution Functions for the Ising Model | 0.2.3 |
ISLR Data for an Introduction to Statistical Learning with Applications in R | 1.4 |
ismev An Introduction to Statistical Modeling of Extreme Values | 1.42 |
Iso Functions to Perform Isotonic Regression | 0.0-21 |
isoband Generate Isolines and Isobands from Regularly Spaced Elevation Grids | 0.2.7 |
ISOcodes Selected ISO Codes | 2024.02.12 |
isopleuros Ternary Plots | 1.3.0 |
IsoplotR Statistical Toolbox for Radiometric Geochronology | 6.4 |
isotone Active Set and Generalized PAVA for Isotone Optimization | 1.1-1 |
isotree Isolation-Based Outlier Detection | 0.6.1-1 |
ISOweek Week of the year and weekday according to ISO 8601 | 0.6-2 |
iTensor ICA-Based Matrix/Tensor Decomposition | 1.0.2 |
iterators Provides Iterator Construct | 1.0.14 |
iterors Fast, Compact Iterators and Tools | 1.0 |
iterpc Efficient Iterator for Permutations and Combinations | 0.4.2 |
itertools Iterator Tools | 0.1-3 |
itertools2 itertools2: Functions creating iterators for efficient looping | 0.1.1 |
itsadug Interpreting Time Series and Autocorrelated Data Using GAMMs | 2.4.1 |
ivreg Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics | 0.6-4 |
ivtools Instrumental Variables | 2.3.0 |
JADE Blind Source Separation Methods Based on Joint Diagonalization and Some BSS Performance Criteria | 2.0-4 |
jagsUI A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses | 1.6.2 |
janeaustenr Jane Austen's Complete Novels | 1.0.0 |
janitor Simple Tools for Examining and Cleaning Dirty Data | 2.2.0 |
JavaGD Java Graphics Device | 0.6-5 |
JBrowseR An R Interface to the JBrowse 2 Genome Browser | 0.10.2 |
jetset One-to-One Gene-Probeset Mapping for Affymetrix Human Microarrays | 3.4.0 |
JGL Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes | 2.3.2 |
JGR Java GUI for R | 1.9-2 |
jiebaR Chinese Text Segmentation | 0.11 |
jiebaRD Chinese Text Segmentation Data for jiebaR Package | 0.1 |
jjb Balamuta Miscellaneous | 0.1.1 |
JMbayes2 Extended Joint Models for Longitudinal and Time-to-Event Data | 0.5-0 |
jmcm Joint Mean-Covariance Models using 'Armadillo' and S4 | 0.2.4 |
jmuOutlier Permutation Tests for Nonparametric Statistics | 2.2 |
jmvcore Dependencies for the 'jamovi' Framework | 2.6.3 |
job Run Code as an RStudio Job - Free Your Console | 0.3.1 |
JointAI Joint Analysis and Imputation of Incomplete Data | 1.0.6 |
jointDiag Joint Approximate Diagonalization of a Set of Square Matrices | 0.4 |
jointseg Joint Segmentation of Multivariate (Copy Number) Signals | 1.0.2 |
jomo Multilevel Joint Modelling Multiple Imputation | 2.7-6 |
JOPS Practical Smoothing with P-Splines | 0.1.19 |
JoSAE Unit-Level and Area-Level Small Area Estimation | 0.3.0 |
jose JavaScript Object Signing and Encryption | 1.2.1 |
jpeg Read and write JPEG images | 0.1-10 |
jpmesh Utilities for Japanese Mesh Code | 2.1.0 |
jqr Client for 'jq', a 'JSON' Processor | 1.3.5 |
jquerylib Obtain 'jQuery' as an HTML Dependency Object | 0.1.4 |
jrc Exchange Commands Between R and 'JavaScript' | 0.6.0 |
jrvFinance Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes | 1.4.3 |
js Tools for Working with JavaScript in R | 1.2.1 |
jsonify Convert Between 'R' Objects and Javascript Object Notation (JSON) | 1.2.2 |
jsonld JSON for Linking Data | 2.2.1 |
jsonlite A Simple and Robust JSON Parser and Generator for R | 1.8.9 |
jsonvalidate Validate 'JSON' Schema | 1.3.2 |
jtools Analysis and Presentation of Social Scientific Data | 2.3.0 |
juicyjuice Inline CSS Properties into HTML Tags Using 'juice' | 0.1.0 |
JuliaCall Seamless Integration Between R and 'Julia' | 0.17.6 |
JuliaConnectoR A Functionally Oriented Interface for Integrating 'Julia' with R | 1.1.4 |
JWileymisc Miscellaneous Utilities and Functions | 1.4.1 |
k5 Kiernan Nicholls Miscellaneous | 0.2.1 |
kableExtra Construct Complex Table with 'kable' and Pipe Syntax | 1.4.0 |
kader Kernel Adaptive Density Estimation and Regression | 0.0.8 |
kaigiroku Programmatic Access to the API for Japanese Diet Proceedings | 0.5 |
kairos Analysis of Chronological Patterns from Archaeological Count Data | 2.2.0 |
kalmanfilter Kalman Filter | 2.1.1 |
kamila Methods for Clustering Mixed-Type Data | 0.1.2 |
kangar00 Kernel Approaches for Nonlinear Genetic Association Regression | 1.4.2 |
kanjistat A Statistical Framework for the Analysis of Japanese Kanji Characters | 0.14.1 |
kantorovich Kantorovich Distance Between Probability Measures | 3.2.0 |
kaos Encoding of Sequences Based on Frequency Matrix Chaos Game Representation | 0.1.2 |
kaphom Test the Homogeneity of Kappa Statistics | 0.3 |
kappaGold Agreement of Nominal Scale Raters (with a Gold Standard) | 0.4.0 |
KappaGUI An R-Shiny Application for Calculating Cohen's and Fleiss' Kappa | 2.0.2 |
kappalab Non-Additive Measure and Integral Manipulation Functions | 0.4-12 |
kappaSize Sample Size Estimation Functions for Studies of Interobserver Agreement | 1.2 |
KaradaColor Color Palettes Inspired by Japanese Landscape and Culture | 0.1.5 |
karaoke Remove Vocals from a Song | 2.0 |
karel Learning programming with Karel the robot | 0.1.1 |
Karen Kalman Reaction Networks | 1.0 |
karlen Real-Time PCR Data Sets by Karlen et al. (2007) | 0.0.2 |
KarsTS An Interface for Microclimate Time Series Analysis | 2.4.1 |
karyotapR DNA Copy Number Analysis for Genome-Wide Tapestri Panels | 1.0.1 |
katex Rendering Math to HTML, 'MathML', or R-Documentation Format | 1.5.0 |
kayadata Kaya Identity Data for Nations and Regions | 1.4.0 |
kazaam Tools for Tall Distributed Matrices | 0.1-0 |
kbal Kernel Balancing | 0.1.1 |
KbMvtSkew Khattree-Bahuguna's Univariate and Multivariate Skewness | 1.0.2 |
kcmeans Conditional Expectation Function Estimation with K-Conditional-Means | 0.1.0 |
Kcop Smooth Test for Equality of Copulas and Clustering Multivariate | 1.0.0 |
kcpRS Kernel Change Point Detection on the Running Statistics | 1.1.1 |
KCSKNNShiny K-Nearest Neighbour Classifier | 0.1.0 |
KCSNBShiny Naive Bayes Classifier | 0.1.0 |
kde1d Univariate Kernel Density Estimation | 1.0.7 |
kdecopula Kernel Smoothing for Bivariate Copula Densities | 0.9.2 |
kdensity Kernel Density Estimation with Parametric Starts and Asymmetric Kernels | 1.1.0 |
kdevine Multivariate Kernel Density Estimation with Vine Copulas | 0.4.5 |
kDGLM Bayesian Analysis of Dynamic Generalized Linear Models | 1.2.0 |
kdist K-Distribution and Weibull Paper | 0.2 |
kdml Kernel Distance Metric Learning for Mixed-Type Data | 1.1.0 |
kdpee Fast Multidimensional Entropy Estimation by k-d Partitioning | 1.0.0 |
kdry K's "Don't Repeat Yourself"-Collection | 0.0.2 |
kedd Kernel Estimator and Bandwidth Selection for Density and Its Derivatives | 1.0.4 |
keep Arrays with Better Control over Dimension Dropping | 1.0 |
KEGGgraph | 1.66.0 |
KEGGREST | 1.46.0 |
kehra Collect, Assemble and Model Air Pollution, Weather and Health Data | 0.1 |
kelvin Calculate Solutions to the Kelvin Differential Equation using Bessel Functions | 2.0-2 |
Kendall Kendall Rank Correlation and Mann-Kendall Trend Test | 2.2.1 |
kendallknight Efficient Implementation of Kendall's Correlation Coefficient Computation | 0.4.0 |
kendallRandomWalks Simulate and Visualize Kendall Random Walks and Related Distributions | 0.9.4 |
Keng Knock Errors Off Nice Guesses | 2024.12.15 |
KenSyn Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis | 0.3 |
KEPTED Kernel-Embedding-of-Probability Test for Elliptical Distribution | 0.2.0 |
kequate The Kernel Method of Test Equating | 1.6.4 |
keras R Interface to 'Keras' | 2.15.0 |
keras3 R Interface to 'Keras' | 1.2.0 |
kerastuneR Interface to 'Keras Tuner' | 0.1.0.7 |
kerDAA New Kernel-Based Test for Differential Association Analysis | 0.1.1 |
KERE Expectile Regression in Reproducing Kernel Hilbert Space | 1.0.0 |
kergp Gaussian Process Laboratory | 0.5.8 |
kerndwd Distance Weighted Discrimination (DWD) and Kernel Methods | 2.0.3 |
kernelboot Smoothed Bootstrap and Random Generation from Kernel Densities | 0.1.10 |
kernelFactory Kernel Factory: An Ensemble of Kernel Machines | 0.3.0 |
Kernelheaping Kernel Density Estimation for Heaped and Rounded Data | 2.3.0 |
KernelKnn Kernel k Nearest Neighbors | 1.1.5 |
kernelshap Kernel SHAP | 0.7.0 |
kernhaz Kernel Estimation of Hazard Function in Survival Analysis | 0.1.0 |
kernlab Kernel-Based Machine Learning Lab | 0.9-33 |
kernplus A Kernel Regression-Based Multidimensional Wind Turbine Power Curve | 0.1.2 |
kernscr Kernel Machine Score Test for Semi-Competing Risks | 1.0.6 |
KernSmooth Functions for Kernel Smoothing Supporting Wand & Jones (1995) | 2.23-24 |
KernSmoothIRT Nonparametric Item Response Theory | 6.4 |
kernstadapt Adaptive Kernel Estimators for Point Process Intensities on Linear Networks | 0.4.0 |
kerntools Kernel Functions and Tools for Machine Learning Applications | 1.1.0 |
kerSeg New Kernel-Based Change-Point Detection | 1.1 |
kerTests Generalized Kernel Two-Sample Tests | 0.1.4 |
kesernetwork Visualization of the KESER Network | 0.1.0 |
keyATM Keyword Assisted Topic Models | 0.5.2 |
Keyboard Bayesian Designs for Early Phase Clinical Trials | 0.1.3 |
keyholder Store Data About Rows | 0.1.7 |
keyperm Keyword Analysis Using Permutation Tests | 0.1.1 |
keyplayer Locating Key Players in Social Networks | 1.0.4 |
keypress Wait for a Key Press in a Terminal | 1.3.1 |
keyring Access the System Credential Store from R | 1.3.2 |
keyringr Decrypt Passwords from Gnome Keyring, Windows Data Protection API and macOS Keychain | 0.4.0 |
keys Keyboard Shortcuts for 'shiny' | 0.1.1 |
keyToEnglish Convert Data to Memorable Phrases | 0.2.1 |
kfa K-Fold Cross Validation for Factor Analysis | 0.2.2 |
KFAS Kalman Filter and Smoother for Exponential Family State Space Models | 1.5.1 |
kfda Kernel Fisher Discriminant Analysis | 1.0.0 |
kfigr Integrated Code Chunk Anchoring and Referencing for R Markdown Documents | 1.2.1 |
kfino Kalman Filter for Impulse Noised Outliers | 1.0.0 |
KFPCA Kendall Functional Principal Component Analysis | 2.0 |
KFPLS Kernel Functional Partial Least Squares | 1.0 |
kgc Koeppen-Geiger Climatic Zones | 1.0.0.2 |
kgen A Tool for Calculating Stoichiometric Equilibrium Constants (Ks) for Seawater | 0.3.1 |
KGode Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations | 1.0.4 |
kgp 1000 Genomes Project Metadata | 1.1.1 |
kgrams Classical k-gram Language Models | 0.2.1 |
kgraph Knowledge Graphs Constructions and Visualizations | 1.0.0 |
kgschart KGS Rank Graph Parser | 1.3.5 |
khisr An R Client to Retrieve Data from DHIS2 | 1.0.6 |
KHQ Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility Index Scores | 0.2.0 |
khroma Colour Schemes for Scientific Data Visualization | 1.14.0 |
kibior A Simple Data Management and Sharing Tool | 0.1.1 |
kidney.epi Kidney Functions: Clinical and Epidemiological | 1.2.0 |
kidsides Download, Cache, and Connect to KidSIDES | 0.5.0 |
Kifidi Summary Table and Means Plots | 0.1.0 |
kim A Toolkit for Behavioral Scientists | 0.5.431 |
kimfilter Kim Filter | 1.0.3 |
kimisc Kirill's Miscellaneous Functions | 1.0.0 |
kin.cohort Analysis of Kin-Cohort Studies | 0.7 |
kindisperse Simulate and Estimate Close-Kin Dispersal Kernels | 0.10.2 |
kinematics Studying Sampled Trajectories | 1.0.0 |
KingCountyHouses Data on House Sales in King County WA | 0.1.0 |
KinMixLite Inference About Relationships from DNA Mixtures | 2.1.1 |
kinship2 Pedigree Functions | 1.9.6.1 |
KINSIMU Panel Evaluation in Forensic Kinship Analysis | 0.1.2-2 |
Kira Machine Learning | 1.0.6 |
kirby21.base Example Data from the Multi-Modal MRI 'Reproducibility' Resource | 1.7.3 |
kirby21.fmri Example Functional Imaging Data from the Multi-Modal MRI 'Reproducibility' Resource | 1.7.0 |
kirby21.t1 Example T1 Structural Data from the Multi-Modal MRI 'Reproducibility' Resource | 1.7.0 |
kisopenapi Korea Investment & Securities (KIS) Open Trading API | 0.0.2 |
kissmig a Keep It Simple Species Migration Model | 1.0-5 |
kit Data Manipulation Functions Implemented in C | 0.0.19 |
kitagawa Spectral Response of Water Wells to Harmonic Strain and Pressure Signals | 3.1.2 |
kiwisR A Wrapper for Querying KISTERS 'WISKI' Databases via the 'KiWIS' API | 0.2.4 |
kknn Weighted k-Nearest Neighbors | 1.3.1 |
kko Kernel Knockoffs Selection for Nonparametric Additive Models | 1.0.1 |
klaR Classification and Visualization | 1.7-3 |
klassR Classifications and Codelists for Statistics Norway | 1.0.1 |
klausuR Multiple Choice Test Evaluation | 0.12-14 |
kldest Sample-Based Estimation of Kullback-Leibler Divergence | 1.0.0 |
kldtools Kullback-Leibler Divergence and Other Tools to Analyze Frequencies | 1.2 |
klexdatr Kootenay Lake Exploitation Study Data | 0.1.2 |
KLexp Kernel_lasso Expansion | 1.0.0 |
klic Kernel Learning Integrative Clustering | 1.0.4 |
KLINK Kinship Analysis with Linked Markers | 1.0.2 |
klovan Geostatistics Methods and Klovan Data | 0.1.0 |
klsh Blocking for Record Linkage | 0.1.0 |
klustR D3 Dynamic Cluster Visualizations | 0.1.0 |
km.ci Confidence Intervals for the Kaplan-Meier Estimator | 0.5-6 |
kmBlock k-Means Like Blockmodeling of One-Mode and Linked Networks | 0.1.2 |
kmc Kaplan-Meier Estimator with Constraints for Right Censored Data -- a Recursive Computational Algorithm | 0.4-2 |
KMD Kernel Measure of Multi-Sample Dissimilarity | 0.1.0 |
KMEANS.KNN KMeans and KNN Clustering Package | 0.1.0 |
kmed Distance-Based k-Medoids | 0.4.2 |
Kmedians K-Medians | 2.2.0 |
kmer Fast K-Mer Counting and Clustering for Biological Sequence Analysis | 1.1.2 |
kmeRs K-Mers Similarity Score Matrix and HeatMap | 2.1.0 |
kmeRtone Multi-Purpose and Flexible k-Meric Enrichment Analysis Software | 1.0 |
kmi Kaplan-Meier Multiple Imputation for the Analysis of Cumulative Incidence Functions in the Competing Risks Setting | 0.5.5 |
kml K-Means for Longitudinal Data | 2.5.0 |
kml3d K-Means for Joint Longitudinal Data | 2.5.0 |
KMLtoSHAPE Preserving Attribute Values: Converting KML to Shapefile | 0.1.0 |
kmodR K-Means with Simultaneous Outlier Detection | 0.2.0 |
KMsurv Data sets from Klein and Moeschberger (1997), Survival Analysis | 0.1-5 |
KMunicate KMunicate-Style Kaplan–Meier Plots | 0.2.5 |
KnapsackSampling Generate Feasible Samples of a Knapsack Problem | 0.1.1 |
KneeArrower Finds Cutoff Points on Knee Curves | 1.0.0 |
knfi Analysis of Korean National Forest Inventory Database | 1.0.1.9 |
knitcitations Citations for 'Knitr' Markdown Files | 1.0.12 |
knitLatex 'Knitr' Helpers - Mostly Tables | 0.9.0 |
knitr A General-Purpose Package for Dynamic Report Generation in R | 1.49 |
knitrBootstrap 'knitr' Bootstrap Framework | 1.0.3 |
knitrdata Data Language Engine for 'knitr' / 'rmarkdown' | 0.6.1 |
knitrProgressBar Provides Progress Bars in 'knitr' | 1.1.1 |
knitxl Generates a Spreadsheet Report from an 'rmarkdown' File | 0.1.0 |
knn.covertree An Accurate kNN Implementation with Multiple Distance Measures | 1.0 |
knnmi k-Nearest Neighbor Mutual Information Estimator | 1.0 |
knnp Time Series Prediction using K-Nearest Neighbors Algorithm (Parallel) | 2.0.0 |
KNNShiny Interactive Document for Working with KNN Analysis | 0.1.0 |
kNNvs k Nearest Neighbors with Grid Search Variable Selection | 0.1.0 |
knnwtsim K Nearest Neighbor Forecasting with a Tailored Similarity Metric | 1.0.0 |
knockoff The Knockoff Filter for Controlled Variable Selection | 0.3.6 |
KnockoffHybrid Hybrid Analysis of Population and Trio Data with Knockoff Statistics for FDR Control | 1.0.1 |
KnockoffScreen Whole-Genome Sequencing Data Analysis via Knockoff Statistics | 0.3.0 |
KnockoffTrio Trio Data Analysis with Knockoff Statistics for FDR Control | 1.0.2 |
knotR Knot Diagrams using Bezier Curves | 1.0-4 |
KnowBR Discriminating Well Surveyed Spatial Units from Exhaustive Biodiversity Databases | 2.2 |
kntnr R Client for 'kintone' API | 0.4.4 |
KoboconnectR Download Data from Kobotoolbox to R | 2.0.0 |
KODAMA Knowledge Discovery by Accuracy Maximization | 2.4.1 |
kofdata Get Data from the 'KOF Datenservice' API | 0.2.1 |
kofnGA A Genetic Algorithm for Fixed-Size Subset Selection | 1.3 |
KOGMWU Functional Summary and Meta-Analysis of Gene Expression Data | 1.2 |
kohonen Supervised and Unsupervised Self-Organising Maps | 3.0.12 |
kokudosuuchi Utilities for 'Kokudo Suuchi' | 1.0.0 |
komaletter Simply Beautiful PDF Letters from Markdown | 0.5.0 |
konfound Quantify the Robustness of Causal Inferences | 1.0.2 |
KONPsurv KONP Tests: Powerful K-Sample Tests for Right-Censored Data | 1.0.4 |
KOR.addrlink Matching Address Data to Reference Index | 1.0.1 |
koRpus Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity | 0.13-8 |
koRpus.lang.en Language Support for 'koRpus' Package: English | 0.1-4 |
kosel Variable Selection by Revisited Knockoffs Procedures | 0.0.1 |
kosis Korean Statistical Information Service (KOSIS) | 0.0.1 |
KoulMde Koul's Minimum Distance Estimation in Regression and Image Segmentation Problems | 3.2.1 |
Kpart Cubic Spline Fitting with Knot Selection | 1.2.2 |
KPC Kernel Partial Correlation Coefficient | 0.1.2 |
kpcaIG Variables Interpretability with Kernel PCA | 1.0 |
kpcalg Kernel PC Algorithm for Causal Structure Detection | 1.0.1 |
kpeaks Determination of K Using Peak Counts of Features for Clustering | 1.1.0 |
kpmt Known Population Median Test | 0.1.0 |
kpodclustr Method for Clustering Partially Observed Data | 1.1 |
KrakenR Comprehensive R Interface for Accessing Kraken Cryptocurrency Exchange REST API | 1.0.0 |
KraljicMatrix A Quantified Implementation of the Kraljic Matrix | 0.2.1 |
kriens Continuation Passing Style Development | 0.1 |
krige Geospatial Kriging with Metropolis Sampling | 0.6.2 |
kriging Ordinary Kriging | 1.2 |
KrigInv Kriging-Based Inversion for Deterministic and Noisy Computer Experiments | 1.4.2 |
krippendorffsalpha Measuring Agreement Using Krippendorff's Alpha Coefficient | 2.0 |
KRIS Keen and Reliable Interface Subroutines for Bioinformatic Analysis | 1.1.6 |
KRLS Kernel-Based Regularized Least Squares | 1.0-0 |
krm Kernel Based Regression Models | 2022.10-17 |
KRMM Kernel Ridge Mixed Model | 1.0 |
kronos Microbiome Oriented Circadian Rhythm Analysis Toolkit | 1.0.0 |
ks Kernel Smoothing | 1.14.3 |
KSA Retained Component Criterion for Principal Component Analysis | 0.1.0 |
kSamples K-Sample Rank Tests and their Combinations | 1.2-10 |
KScorrect Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests | 1.4.0 |
KSD Goodness-of-Fit Tests using Kernelized Stein Discrepancy | 1.0.1 |
KSEAapp Kinase-Substrate Enrichment Analysis | 0.99.0 |
kselection Selection of K in K-Means Clustering | 0.2.1 |
KSgeneral Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests for (Dis)Continuous Null Distribution | 2.0.2 |
ksharp Cluster Sharpening | 0.1.0.1 |
ksNN K* Nearest Neighbors Algorithm | 0.1.2 |
KSPM Kernel Semi-Parametric Models | 0.2.1 |
ksrlive Identify Kinase Substrate Relationships Using Dynamic Data | 1.0 |
kssa Known Sub-Sequence Algorithm | 0.0.1 |
kst Knowledge Space Theory | 0.5-4 |
kStatistics Unbiased Estimators for Cumulant Products and Faa Di Bruno's Formula | 2.1.1 |
kstIO Knowledge Space Theory Input/Output | 0.4-0 |
kstMatrix Basic Functions in Knowledge Space Theory Using Matrix Representation | 1.0-1 |
ktaucenters Robust Clustering Procedures | 1.0.0 |
KTensorGraphs Co-Tucker3 Analysis of Two Sequences of Matrices | 1.1 |
ktsolve Configurable Function for Solving Families of Nonlinear Equations | 1.3.1 |
ktweedie 'Tweedie' Compound Poisson Model in the Reproducing Kernel Hilbert Space | 1.0.3 |
kuiper.2samp Two-Sample Kuiper Test | 1.0 |
Kurt Performs Kurtosis-Based Statistical Analyses | 1.1 |
kutils Project Management Tools | 1.73 |
kvh Read/Write Files in Key-Value-Hierarchy Format | 1.4.2 |
kyotil Utility Functions for Statistical Analysis Report Generation and Monte Carlo Studies | 2024.11-01 |
kza Kolmogorov-Zurbenko Adaptive Filters | 4.1.0.1 |
kzs Kolmogorov-Zurbenko Spatial Smoothing and Applications | 1.4 |
l0ara Sparse Generalized Linear Model with L0 Approximation for Feature Selection | 0.1.6 |
L0Learn Fast Algorithms for Best Subset Selection | 2.1.0 |
l1ball L1-Ball Prior for Sparse Regression | 0.1.0 |
L1centrality Graph/Network Analysis Based on L1 Centrality | 0.3.0 |
l1kdeconv Deconvolution for LINCS L1000 Data | 1.2.0 |
L1pack Routines for L1 Estimation | 0.50 |
l1spectral An L1-Version of the Spectral Clustering | 0.99.6 |
l2boost Exploring Friedman's Boosting Algorithm for Regularized Linear Regression | 1.0.3 |
L2DensityGoFtest Density Goodness-of-Fit Test | 0.6.0 |
L2E Robust Structured Regression via the L2 Criterion | 2.0 |
L2hdchange L2 Inference for Change Points in High-Dimensional Time Series | 1.0 |
LA Lioness Algorithm (LA) | 2.3 |
lab2clean Automation and Standardization of Cleaning Clinical Lab Data | 1.0.0 |
LabApplStat Miscellaneous Scripts from the Data Science Laboratory (UCPH) | 1.4.4 |
labdsv Ordination and Multivariate Analysis for Ecology | 2.1-0 |
label.switching Relabelling MCMC Outputs of Mixture Models | 1.8 |
labeleR Automate the Production of Custom Labels, Badges, Certificates, and Other Documents | 0.1.2 |
labeling Axis Labeling | 0.4.3 |
labelled Manipulating Labelled Data | 2.13.0 |
labelmachine Make Labeling of R Data Sets Easy | 1.0.0 |
labelr Label Data Frames, Variables, and Values | 0.1.9 |
labelVector Label Attributes for Atomic Vectors | 0.1.2 |
lablaster Laser Ablation Blast Through Endpoint Detection | 1.0.1 |
labNorm Normalize Laboratory Measurements by Age and Sex | 1.0.1 |
LabourMarketAreas Identification, Tuning, Visualisation and Analysis of Labour Market Areas | 3.4 |
labourR Classify Multilingual Labour Market Free-Text to Standardized Hierarchical Occupations | 1.0.0 |
LabRS Laboratorio di "Ricerca Sociale con R" | 0.1.0 |
labsimplex Simplex Optimization Algorithms for Laboratory and Manufacturing Processes | 0.1.2 |
labstatR Libreria Del Laboratorio Di Statistica Con R | 1.0.13 |
labstats Data Sets for the Book "Experimental Design for Laboratory Biologists" | 1.0.1 |
lacm Latent Autoregressive Count Models | 0.1.1 |
lacrmr Connect to the 'Less Annoying CRM' API | 1.0.5 |
lactater Tools for Analyzing Lactate Thresholds | 0.2.0 |
lactcurves Lactation Curve Parameter Estimation | 1.1.0 |
lacunaritycovariance Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets | 1.1-7 |
lacunr Fast 3D Lacunarity for Voxel Data | 1.0.1 |
LAD Derive Leaf Angle Distribution (LAD) from Measured Leaf Inclination Angles | 0.1.0 |
LadderFuelsR Automated Tool for Vertical Fuel Continuity Analysis using Airborne Laser Scanning Data | 0.0.7 |
laeken Estimation of Indicators on Social Exclusion and Poverty | 0.5.3 |
LaF Fast Access to Large ASCII Files | 0.8.6 |
lagged Classes and Methods for Lagged Objects | 0.3.2 |
LAGOSNE Interface to the Lake Multi-Scaled Geospatial and Temporal Database | 2.0.3 |
laGP Local Approximate Gaussian Process Regression | 1.5-9 |
lagsarlmtree Spatial Lag Model Trees | 1.0-1 |
LagSequential Lag-Sequential Categorical Data Analysis | 0.1.1 |
Lahman Sean 'Lahman' Baseball Database | 12.0-0 |
LAIr Converting NDVI to LAI of Field, Proximal and Satellite Data | 0.3.0 |
LakeMetabolizer Tools for the Analysis of Ecosystem Metabolism | 1.5.5 |
lakemorpho Lake Morphometry Metrics | 1.3.2 |
laketemps Lake Temperatures Collected by Situ and Satellite Methods from 1985-2009 | 0.5.1 |
lakhesis Consensus Seriation for Binary Data | 0.0.1 |
LAM Some Latent Variable Models | 0.7-22 |
LaMa Fast Numerical Maximum Likelihood Estimation for Latent Markov Models | 2.0.2 |
lambda.r Modeling Data with Functional Programming | 1.2.4 |
lambdaTS Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis | 1.1 |
lambdr Create a Runtime for Serving Containerised R Functions on 'AWS Lambda' | 1.2.5 |
LambertW Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data | 0.6.9-1 |
laminr Client for 'LaminDB' | 0.3.0 |
lamle Maximum Likelihood Estimation of Latent Variable Models | 0.3.1 |
lamme Log-Analytic Methods for Multiplicative Effects | 0.0.1 |
lamW Lambert-W Function | 2.2.4 |
lancor Statistical Inference via Lancaster Correlation | 0.1.2 |
LandComp Analysing Landscape Composition and Structure at Multiple Scales | 0.0.5 |
landest Landmark Estimation of Survival and Treatment Effect | 1.2 |
landform Topographic Position Index-Based Landform Classification | 0.2 |
Landmarking Analysis using Landmark Models | 1.0.0 |
landmix Landmark Prediction for Mixture Data | 1.0 |
landmulti Landmark Prediction with Multiple Short-Term Events | 0.5.0 |
landpred Landmark Prediction of a Survival Outcome | 1.2 |
landsat Radiometric and Topographic Correction of Satellite Imagery | 1.1.2 |
landscapemetrics Landscape Metrics for Categorical Map Patterns | 2.1.4 |
landscapeR Categorical Landscape Simulation Facility | 1.3.1 |
landscapetools Landscape Utility Toolbox | 0.5.0 |
landsepi Landscape Epidemiology and Evolution | 1.5.1 |
Langevin Langevin Analysis in One and Two Dimensions | 1.3.2 |
langevitour Langevin Tour | 0.7 |
languagelayeR Access the 'languagelayer' API | 1.2.4 |
languageR Analyzing Linguistic Data: A Practical Introduction to Statistics | 1.5.0 |
languageserver Language Server Protocol | 0.3.16 |
languageserversetup Automated Setup and Auto Run for R Language Server | 0.1.2 |
lans2r Work with Look at NanoSIMS Data in R | 1.2.0 |
LaplacesDemon Complete Environment for Bayesian Inference | 16.1.6 |
lar History of labour relations package | 0.1-2 |
lares Analytics & Machine Learning Sidekick | 5.2.10 |
lareshiny Lares 'shiny' Modules | 0.0.3 |
LARF Local Average Response Functions for Instrumental Variable Estimation of Treatment Effects | 1.4 |
Largevars Testing Large VARs for the Presence of Cointegration | 1.0.2 |
LARisk Estimation of Lifetime Attributable Risk of Cancer from Radiation Exposure | 1.0.0 |
lars Least Angle Regression, Lasso and Forward Stagewise | 1.3 |
LassoBacktracking Modelling Interactions in High-Dimensional Data with Backtracking | 1.1 |
LassoGEE High-Dimensional Lasso Generalized Estimating Equations | 1.0 |
LassoNet 3CoSE Algorithm | 0.8.3 |
lassopv Nonparametric P-Value Estimation for Predictors in Lasso | 0.2.0 |
lassoshooting L1 Regularized Regression (Lasso) Solver using the Cyclic Coordinate Descent Algorithm aka Lasso Shooting | 0.1.5-1.1 |
LassoSIR Sparsed Sliced Inverse Regression via Lasso | 0.1.1 |
latcontrol Evaluation of the Role of Control Variables in Structural Equation Models | 0.1.1 |
latdiag Draws Diagrams Useful for Checking Latent Scales | 0.3 |
latenetwork Inference on LATEs under Network Interference of Unknown Form | 1.0.1 |
latent2likert Converting Latent Variables into Likert Scale Responses | 1.2.1 |
LatentBMA Bayesian Model Averaging for Univariate Link Latent Gaussian Models | 0.1.1 |
latentcor Fast Computation of Latent Correlations for Mixed Data | 2.0.1 |
latentFactoR Data Simulation Based on Latent Factors | 0.0.6 |
latentgraph Graphical Models with Latent Variables | 1.1 |
latentnet Latent Position and Cluster Models for Statistical Networks | 2.11.0 |
later Utilities for Scheduling Functions to Execute Later with Event Loops | 1.4.1 |
Laterality Functions to Calculate Common Laterality Statistics in Primatology | 0.9.5 |
LATERmodel Linear Approach to Threshold with Ergodic Rate for Reaction Times | 0.2.0 |
latex2exp Use LaTeX Expressions in Plots | 0.9.6 |
latexdiffr Diff TeX, 'rmarkdown' or 'quarto' Files Using the 'latexdiff' Utility | 0.2.0 |
latexpdf Convert Tables to PDF or PNG | 0.1.8 |
latexSymb Write Equations in a Way that You Can Read | 0.4.2 |
latrend A Framework for Clustering Longitudinal Data | 1.6.1 |
latte Interface to 'LattE' and '4ti2' | 0.2.1 |
lattice Trellis Graphics for R | 0.22-6 |
LatticeDesign Lattice-Based Space-Filling Designs | 2.0-5 |
latticeExtra Extra Graphical Utilities Based on Lattice | 0.6-30 |
LatticeKrig Multi-Resolution Kriging Based on Markov Random Fields | 9.3.0 |
lava Latent Variable Models | 1.8.0 |
lavaan Latent Variable Analysis | 0.6-17 |
lavaan.printer Helper Functions for Printing 'lavaan' Outputs | 0.1.0 |
lavaan.shiny Latent Variable Analysis with Shiny | 1.2 |
lavaanExtra Convenience Functions for Package 'lavaan' | 0.2.1 |
lavaangui Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan' | 0.2.1 |
lavaanPlot Path Diagrams for 'Lavaan' Models via 'DiagrammeR' | 0.8.1 |
lavacreg Latent Variable Count Regression Models | 0.2-2 |
LavaCvxr Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods) | 1.0.2 |
Lavash Lava Estimation for the Sum of Sparse and Dense Signals | 1.0 |
LAWBL Latent (Variable) Analysis with Bayesian Learning | 1.5.0 |
lawstat Tools for Biostatistics, Public Policy, and Law | 3.6 |
lax Loglikelihood Adjustment for Extreme Value Models | 1.2.3 |
lay Simple but Efficient Rowwise Jobs | 0.1.3 |
lazy Lazy Learning for Local Regression | 1.2-18 |
lazyarray Persistent Large Data Array with Lazy-Loading on Demand | 1.1.0 |
lazybar Progress Bar with Remaining Time Forecast Method | 0.1.0 |
lazyData A LazyData Facility | 1.1.0 |
lazyeval Lazy (Non-Standard) Evaluation | 0.2.2 |
lazysf Delayed Read for 'GDAL' Vector Data Sources | 0.1.0 |
lazysql Lazy SQL Programming | 0.1.3 |
lazytrade Learn Computer and Data Science using Algorithmic Trading | 0.5.4 |
lazyWeave LaTeX Wrappers for R Users | 3.0.2 |
lba Latent Budget Analysis for Compositional Data | 2.4.52 |
LBE | 1.74.0 |
lbfgs Limited-memory BFGS Optimization | 1.2.1.2 |
lbfgsb3c Limited Memory BFGS Minimizer with Bounds on Parameters with optim() 'C' Interface | 2024-3.5 |
LBI Likelihood Based Inference | 0.2.1 |
lbm Log Binomial Regression Model in Exact Method | 0.9.0.2 |
lboxcox Implementation of Logistic Box-Cox Regression | 1.2 |
LBPG The Length-Biased Power Garima Distribution | 0.1.2 |
lbreg Log-Binomial Regression with Constrained Optimization | 1.3 |
LBSPR Length-Based Spawning Potential Ratio | 0.1.6 |
LCA Localised Co-Dependency Analysis | 0.1.1 |
LCAextend Latent Class Analysis (LCA) with Familial Dependence in Extended Pedigrees | 1.3 |
lcars LCARS Aesthetic for Shiny | 0.4.0 |
LCAvarsel Variable Selection for Latent Class Analysis | 1.1 |
lcc Longitudinal Concordance Correlation | 1.1.4 |
LCCR Latent Class Capture-Recapture Models | 2.0 |
lcda Latent Class Discriminant Analysis | 0.3.2 |
LCF Linear Combination Fitting | 1.7.0 |
LCFdata Data sets for package ``LMERConvenienceFunctions'' | 2.0 |
lchemix A Bayesian Multi-Dimensional Couple-Based Latent Risk Model | 0.1.0 |
LCMCR Bayesian Non-Parametric Latent-Class Capture-Recapture | 0.4.14 |
lcmm Extended Mixed Models Using Latent Classes and Latent Processes | 2.1.0 |
LCMSQA Liquid Chromatography/Mass Spectrometry (LC/MS) Quality Assessment | 1.0.2 |
lconnect Simple Tools to Compute Landscape Connectivity Metrics | 0.1.2 |
lcopula Liouville Copulas | 1.0.7 |
lcpm Ordinal Outcomes: Generalized Linear Models with the Log Link | 0.1.1 |
lcra Bayesian Joint Latent Class and Regression Models | 1.1.5 |
lcsm Univariate and Bivariate Latent Change Score Modelling | 0.3.2 |
lctools Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools | 0.2-10 |
lcyanalysis Stock Data Analysis Functions | 1.0.4 |
lda Collapsed Gibbs Sampling Methods for Topic Models | 1.5.2 |
LDAandLDAS Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS) | 1.1.3 |
LDABiplots Biplot Graphical Interface for LDA Models | 0.1.2 |
LDAcoop Analysis of Data from Limiting Dilution Assay (LDA) with or without Cellular Cooperation | 0.1.2 |
ldamatch Selection of Statistically Similar Research Groups | 1.0.3 |
ldaPrototype Prototype of Multiple Latent Dirichlet Allocation Runs | 0.3.1 |
LDAShiny User-Friendly Interface for Review of Scientific Literature | 0.9.3 |
LDATree Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits | 0.2.0 |
LDATS Latent Dirichlet Allocation Coupled with Time Series Analyses | 0.3.0 |
ldatuning Tuning of the Latent Dirichlet Allocation Models Parameters | 1.0.2 |
LDAvis Interactive Visualization of Topic Models | 0.3.2 |
ldbod Local Density-Based Outlier Detection | 0.1.2 |
ldbounds Lan-DeMets Method for Group Sequential Boundaries | 2.0.2 |
LDcorSV Linkage Disequilibrium Corrected by the Structure and the Relatedness | 1.3.3 |
lddmm Longitudinal Drift-Diffusion Mixed Models (LDDMM) | 0.4.2 |
ldhmm Hidden Markov Model for Financial Time-Series Based on Lambda Distribution | 0.6.1 |
LDLcalc Calculate and Predict the Low Density Lipoprotein Values | 2.1 |
LDlinkR Calculating Linkage Disequilibrium (LD) in Human Population Groups of Interest | 1.4.0 |
LDM Testing Hypotheses About the Microbiome using the Linear Decomposition Model | 6.0.1 |
LDNN Longitudinal Data Neural Network | 1.10 |
LDRTools Tools for Linear Dimension Reduction | 0.2-2 |
ldsep Linkage Disequilibrium Shrinkage Estimation for Polyploids | 2.1.5 |
ldsr Linear Dynamical System Reconstruction | 0.0.2 |
ldt Automated Uncertainty Analysis | 0.5.3 |
leabRa The Artificial Neural Networks Algorithm Leabra | 0.1.0 |
leaderCluster Leader Clustering Algorithm | 1.5 |
LeafArea Rapid Digital Image Analysis of Leaf Area | 0.1.8 |
leafdown Provides Drill Down Functionality for 'leaflet' Choropleths | 1.2.0 |
leafem 'leaflet' Extensions for 'mapview' | 0.2.3 |
leafgl High-Performance 'WebGl' Rendering for Package 'leaflet' | 0.2.2 |
leaflegend Add Custom Legends to 'leaflet' Maps | 1.2.1 |
leaflet Create Interactive Web Maps with the JavaScript 'Leaflet' Library | 2.2.2 |
leaflet.esri 'ESRI' Bindings for the 'leaflet' Package | 1.0.0 |
leaflet.extras Extra Functionality for 'leaflet' Package | 2.0.1 |
leaflet.extras2 Extra Functionality for 'leaflet' Package | 1.2.2 |
leaflet.minicharts Mini Charts for Interactive Maps | 0.6.2 |
leaflet.providers Leaflet Providers | 2.0.0 |
leafletZH Chinese Leaflet Map Relate Operation | 0.1.1 |
leafpm Leaflet Map Plugin for Drawing and Editing | 0.1.0 |
leafpop Include Tables, Images and Graphs in Leaflet Pop-Ups | 0.1.0 |
leafR Calculates the Leaf Area Index (LAD) and Other Related Functions | 0.3.5 |
leafSTAR Silhouette to Area Ratio of Tilted Surfaces | 1.0 |
leafsync Small Multiples for Leaflet Web Maps | 0.1.0 |
leaftime 'Leaflet-timeline' Plugin for Leaflet | 0.2.0 |
leakyIV Leaky Instrumental Variables | 0.0.1 |
leanpubr 'Leanpub' API Interface | 0.3.1 |
leapgp Localized Ensemble of Approximate Gaussian Processes | 1.0.0 |
leapp Latent Effect Adjustment After Primary Projection | 1.3 |
leaps Regression Subset Selection | 3.2 |
LeArEst Border and Area Estimation of Data Measured with Additive Error | 1.0.0 |
LearnBayes Functions for Learning Bayesian Inference | 2.15.1 |
LearnClust Learning Hierarchical Clustering Algorithms | 1.1 |
LearnGeom Learning Plane Geometry | 1.5 |
learningr Data and Functions to Accompany the Book "Learning R" | 0.29.1 |
LearningRlab Statistical Learning Functions | 2.4 |
LearningStats Elemental Descriptive and Inferential Statistics | 0.1.0 |
learningtower OECD PISA Datasets from 2000-2018 in an Easy-to-Use Format | 1.0.1 |
LearnNonparam 'R6'-Based Flexible Framework for Permutation Tests | 1.2.5 |
LearnPCA Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA) | 0.3.4 |
learnPopGen Population Genetic Simulations & Numerical Analysis | 1.0.4 |
learnr Interactive Tutorials for R | 0.11.5 |
learnrbook Datasets and Code Examples from P. J. Aphalo's "Learn R" Book | 2.0.1 |
LearnSL Learn Supervised Classification Methods Through Examples and Code | 1.0.0 |
LearnVizLMM Learning and Communicating Linear Mixed Models Without Data | 1.0.0 |
leastcostpath Modelling Pathways and Movement Potential Within a Landscape | 2.0.12 |
ledger Utilities for Importing Data from Plain Text Accounting Files | 2.0.11 |
leem Laboratory of Teaching to Statistics and Mathematics | 0.1.0 |
lefko3 Historical and Ahistorical Population Projection Matrix Analysis | 6.3.1 |
legendry Extended Legends and Axes for 'ggplot2' | 0.2.0 |
legion Forecasting Using Multivariate Models | 0.1.2 |
legislatoR Interface to the Comparative Legislators Database | 1.1.0 |
LEGIT Latent Environmental & Genetic InTeraction (LEGIT) Model | 1.4.1 |
legocolors Official Lego Color Palettes | 0.4.0 |
lehdr Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files | 1.1.4 |
lehuynh Le-Huynh Truc-Ly's R Code and Templates | 0.1.1 |
leiden R Implementation of Leiden Clustering Algorithm | 0.4.3.1 |
leidenAlg Implements the Leiden Algorithm via an R Interface | 1.1.4 |
leidenbase R and C/C++ Wrappers to Run the Leiden find_partition() Function | 0.1.31 |
leiv Bivariate Linear Errors-In-Variables Estimation | 2.0-7 |
LeMaRns Length-Based Multispecies Analysis by Numerical Simulation | 0.1.2 |
lemna Lemna Ecotox Effect Model | 1.0.1 |
lemon Freshing Up your 'ggplot2' Plots | 0.5.0 |
lenght Allow Misspellings of Length Function | 0.1.0 |
lenses Elegant Data Manipulation with Lenses | 0.0.3 |
leontief Input-Output Analysis | 0.3 |
leprechaun Create Simple 'Shiny' Applications as Packages | 1.0.0 |
leptokurticMixture Implements Parsimonious Finite Mixtures of Multivariate Elliptical Leptokurtic-Normals | 1.1 |
lero.lero Generate 'Lero Lero' Quotes | 0.2 |
less Learning with Subset Stacking | 0.1.0 |
lessR Less Code, More Results | 4.3.9 |
lessSEM Non-Smooth Regularization for Structural Equation Models | 1.5.5 |
lest Vectorised Nested if-else Statements Similar to CASE WHEN in 'SQL' | 1.1.0 |
lestat A Package for Learning Statistics | 1.9 |
letsR Data Handling and Analysis in Macroecology | 5.0 |
lettervalue Computing Letter Values | 0.2.1 |
levitate Fuzzy String Comparison | 0.2.0 |
LexFindR Find Related Items and Lexical Dimensions in a Lexicon | 1.1.0 |
lexicon Lexicons for Text Analysis | 1.2.1 |
lexiconPT Lexicons for Portuguese Text Analysis | 0.1.0 |
LexisNexisTools Working with Files from 'LexisNexis' | 1.0.0 |
LexisPlotR Plot Lexis Diagrams for Demographic Purposes | 0.4.0 |
lexRankr Extractive Summarization of Text with the LexRank Algorithm | 0.5.2 |
lfactors Factors with Levels | 1.0.4 |
LFApp Shiny Apps for Lateral Flow Assays | 1.4.1 |
lfc Log Fold Change Distribution Tools for Working with Ratios of Counts | 0.2.3 |
lfda Local Fisher Discriminant Analysis | 1.1.3 |
LFDR.MLE Estimation of the Local False Discovery Rates by Type II Maximum Likelihood Estimation | 1.0.1 |
LFDR.MME Estimating Local False Discovery Rates Using the Method of Moments | 1.0 |
LFDREmpiricalBayes Estimating Local False Discovery Rates Using Empirical Bayes Methods | 1.0 |
lfe Linear Group Fixed Effects | 3.1.0 |
lfl Linguistic Fuzzy Logic | 2.2.1 |
LFM Laplace Factor Model Analysis and Evaluation | 0.1.0 |
lfmm Latent Factor Mixed Models | 1.1 |
lfproQC Quality Control for Label-Free Proteomics Expression Data | 1.4.0 |
lfstat Calculation of Low Flow Statistics for Daily Stream Flow Data | 0.9.12 |
lg Locally Gaussian Distributions: Estimation and Methods | 0.4.1 |
lgarch Simulation and Estimation of Log-GARCH Models | 0.6-2 |
lgcp Log-Gaussian Cox Process | 2.0 |
LGDtoolkit Collection of Tools for LGD Rating Model Development | 0.2.0 |
LGEWIS Tests for Genetic Association/Gene-Environment Interaction in Longitudinal Studies | 1.1 |
lglasso Longitudinal Graphical Lasso | 0.1.0 |
lgpr Longitudinal Gaussian Process Regression | 1.2.4 |
lgr A Fully Featured Logging Framework | 0.4.4 |
lgrdata Example Datasets for a Learning Guide to R | 0.1.1 |
lgrExtra Extra Appenders for 'lgr' | 0.0.9 |
LGRF Set-Based Tests for Genetic Association in Longitudinal Studies | 1.0 |
lgtdl A Set of Methods for Longitudinal Data Objects | 1.1.5 |
LHD Latin Hypercube Designs (LHDs) | 1.4.0 |
lhmixr Fit Sex-Specific Life History Models with Missing Classifications | 0.1.0 |
lhs Latin Hypercube Samples | 1.2.0 |
libbib Various Utilities for Library Science/Assessment and Cataloging | 1.6.4 |
libcoin Linear Test Statistics for Permutation Inference | 1.0-10 |
libgeos Open Source Geometry Engine ('GEOS') C API | 3.11.1-2 |
LiblineaR Linear Predictive Models Based on the LIBLINEAR C/C++ Library | 2.10-24 |
LibOPF Design of Optimum-Path Forest Classifiers | 2.6.2 |
libr Libraries, Data Dictionaries, and a Data Step for R | 1.3.8 |
Libra Linearized Bregman Algorithms for Generalized Linear Models | 1.7 |
librarian Install, Update, Load Packages from CRAN, 'GitHub', and 'Bioconductor' in One Step | 1.8.1 |
librarysnapshot Library Snapshot for Packages and Dependencies in Use by Current Session | 0.1.2 |
libstable4u Stable Distribution Functions...For You | 1.0.4 |
LIC The LIC Criterion for Optimal Subset Selection | 0.0.2 |
lidaRtRee Forest Analysis with Airborne Laser Scanning (LiDAR) Data | 4.0.5 |
lidR Airborne LiDAR Data Manipulation and Visualization for Forestry Applications | 4.1.2 |
lievens Real-Time PCR Data Sets by Lievens et al. (2012) | 0.0.1 |
lifecontingencies Financial and Actuarial Mathematics for Life Contingencies | 1.3.12 |
lifecourse Quantification of Lifecourse Fluidity | 2.0 |
lifecycle Manage the Life Cycle of your Package Functions | 1.0.4 |
LifeHist Life History Models of Individuals | 1.0-1 |
LifeInsuranceContracts Framework for Traditional Life Insurance Contracts | 0.0.6 |
LifeInsureR Modelling Traditional Life Insurance Contracts | 1.0.0 |
lifelogr Life Logging | 0.1.0 |
LifemapR Data Visualisation on 'Lifemap' Tree | 1.1.4 |
lifeR Identify Sites for Your Bird List | 1.0.2 |
Lifertable Life and Fertility Tables Specially for Insects | 0.0.1 |
LifeTables Two-Parameter HMD Model Life Table System | 1.0 |
liftLRD Wavelet Lifting Estimators of the Hurst Exponent for Regularly and Irregularly Sampled Time Series | 1.0-9 |
liftr Containerize R Markdown Documents for Continuous Reproducibility | 0.9.2 |
LiftTest A Bootstrap Proportion Test for Brand Lift Testing | 0.2.0 |
lifx Control 'LIFX' Smart Light Bulbs | 0.2.0 |
liger Lightweight Iterative Geneset Enrichment | 2.0.1 |
lightgbm Light Gradient Boosting Machine | 4.5.0 |
LightLogR Process Data from Wearable Light Loggers and Optical Radiation Dosimeters | 0.3.8 |
LightningR Tools for Communication with Lightning-Viz Server | 1.0.2 |
lightparser From 'Rmarkdown' and 'Quarto' Files to Tibble and Back | 0.1.0 |
lightr Read Spectrometric Data and Metadata | 1.8.0 |
lightsout Implementation of the 'Lights Out' Puzzle Game | 0.3.2 |
likelihood Methods for Maximum Likelihood Estimation | 1.9 |
likelihoodAsy Functions for Likelihood Asymptotics | 0.51 |
likelihoodExplore Likelihood Exploration | 0.1.0 |
likelihoodR Likelihood Analyses for Common Statistical Tests | 1.1.5 |
likert Analysis and Visualization Likert Items | 1.3.5 |
LikertMakeR Synthesise and Correlate Likert Scale and Related Rating-Scale Data | 0.4.0 |
lilikoi Metabolomics Personalized Pathway Analysis Tool | 2.1.1 |
lillies Estimation of Life Years Lost | 0.2.12 |
LilRhino For Implementation of Feed Reduction, Learning Examples, NLP and Code Management | 1.2.2 |
LIM Linear Inverse Model Examples and Solution Methods | 1.4.7.1 |
lime Local Interpretable Model-Agnostic Explanations | 0.5.3 |
limexhub Quantitative Trade Signals | 0.1.5 |
liminal Multivariate Data Visualization with Tours and Embeddings | 0.1.2 |
limma Linear Models for Microarray Data | 3.62.1 |
LimnoPalettes A Limnology Themed Palette Generator | 0.1.0 |
limonaid Working with 'LimeSurvey' Surveys and Responses | 0.1.5 |
limorhyde Differential Analysis of Rhythmic Transcriptome Data | 1.0.1 |
limorhyde2 Quantify Rhythmicity and Differential Rhythmicity in Genomic Data | 0.1.0 |
limSolve Solving Linear Inverse Models | 1.5.7.1 |
lin.eval Perform Polynomial Evaluation of Linearity | 0.1.2 |
linbin Binning and Plotting of Linearly Referenced Data | 0.1.3 |
LinCal Static Univariate Frequentist and Bayesian Linear Calibration | 1.0.1 |
lincom Linear Biomarker Combination: Empirical Performance Optimization | 1.2 |
linconGaussR Sampling Multivariate Normal Distribution under Linear Constraints | 0.1 |
LindenmayeR Functions to Explore L-Systems (Lindenmayer Systems) | 0.1.13 |
lindia Automated Linear Regression Diagnostic | 0.10 |
LindleyPowerSeries Lindley Power Series Distribution | 1.0.1 |
linearModel Linear Model Functions | 1.0.2 |
LinearRegressionMDE Minimum Distance Estimation in Linear Regression Model | 1.0 |
lineartestr Linear Specification Testing | 1.0.0 |
linelist Tagging and Validating Epidemiological Data | 1.1.4 |
linelistBayes Bayesian Analysis of Epidemic Data Using Line List and Case Count Approaches | 1.0 |
linemap Line Maps | 0.3.0 |
linERR Linear Excess Relative Risk Model | 1.0 |
lineup Lining Up Two Sets of Measurements | 0.44 |
lineup2 Lining Up Two Sets of Measurements | 0.6 |
lineupjs 'HTMLWidget' Wrapper of 'LineUp' for Visual Analysis of Multi-Attribute Rankings | 4.6.0 |
lingdist Fast Linguistic Distance and Alignment Computation | 1.0 |
lingglosses Interlinear Glossed Linguistic Examples and Abbreviation Lists Generation | 0.0.8 |
lingmatch Linguistic Matching and Accommodation | 1.0.7 |
lingtypology Linguistic Typology and Mapping | 1.1.20 |
linguisticsdown Easy Linguistics Document Writing with R Markdown | 1.2.0 |
link Hyperlink Automatic Detection | 2024.4.0 |
link2GI Linking Geographic Information Systems, Remote Sensing and Other Command Line Tools | 0.6-2 |
Linkage Clustering Communication Networks Using the Stochastic Topic Block Model Through Linkage.fr | 0.9 |
LinkageMapView Plot Linkage Group Maps with Quantitative Trait Loci | 2.1.2 |
linkcomm Tools for Generating, Visualizing, and Analysing Link Communities in Networks | 1.0-14 |
LinkedGASP Linked Emulator of a Coupled System of Simulators | 1.0 |
linkedInadsR Access to 'LinkedIn' Ads via the 'Windsor.ai' API | 0.1.0 |
LinkedMatrix Column-Linked and Row-Linked Matrices | 1.4.0 |
linkprediction Link Prediction Methods | 1.0-0 |
linkspotter Bivariate Correlations Calculation and Visualization | 1.3.0 |
linl 'linl' is not 'Letter' | 0.0.5 |
linne Convenient 'CSS' | 0.0.2 |
linpk Generate Concentration-Time Profiles from Linear PK Systems | 1.1.2 |
linprog Linear Programming / Optimization | 0.9-4 |
LinRegInteractive Interactive Interpretation of Linear Regression Models | 0.3-3 |
LINselect Selection of Linear Estimators | 1.1.5 |
lintools Manipulation of Linear Systems of (in)Equalities | 0.1.7 |
lintr A 'Linter' for R Code | 3.1.2 |
lipidmapsR Lipid Maps Rest Service | 1.0.4 |
LipidMS Lipid Annotation for LC-MS/MS DDA or DIA Data | 3.0.5 |
lipidomeR Integrative Visualizations of the Lipidome | 0.1.2 |
LipidomicsR Elegant Tools for Processing and Visualization of Lipidomics Data | 0.3.6 |
LipinskiFilters Computes and Visualize Lipinski's Parameters | 1.0.1 |
liqueueR Implements Queue, PriorityQueue and Stack Classes | 0.0.1 |
lira LInear Regression in Astronomy | 2.0.1 |
lisa Color Palettes from Color Lisa | 0.1.2 |
lisrelToR Import Output from LISREL into R | 0.3 |
list Statistical Methods for the Item Count Technique and List Experiment | 9.2.6 |
listArray Incomplete Array with Arbitrary R Objects as Indices | 0.1.1 |
listarrays A Toolbox for Working with R Arrays in a Functional Programming Style | 0.4.0 |
listcomp List Comprehensions | 0.4.1 |
listcompr List Comprehension for R | 0.4.0 |
listdown Create R Markdown from Lists | 0.5.7 |
listenv Environments Behaving (Almost) as Lists | 0.9.1 |
LIStest Tests of independence based on the Longest Increasing Subsequence | 2.1 |
listr Tools for Lists | 0.1.0 |
listviewer 'htmlwidget' for Interactive Views of R Lists | 4.0.0 |
listWithDefaults List with Defaults | 1.2.0 |
lit Latent Interaction Testing for Genome-Wide Studies | 1.0.0 |
lite Likelihood-Based Inference for Time Series Extremes | 1.1.1 |
litedown A Lightweight Version of R Markdown | 0.4 |
liteq Lightweight Portable Message Queue Using 'SQLite' | 1.1.0 |
literanger Random Forests for Multiple Imputation Based on 'ranger' | 0.1.1 |
litRiddle Dataset and Tools to Research the Riddle of Literary Quality | 1.0.0 |
litteR Litter Analysis | 1.0.0 |
litterfitter Fit a Collection of Curves to Single Cohort Decomposition Data | 0.1.3 |
littler R at the Command-Line via 'r' | 0.3.19 |
liureg Liu Regression with Liu Biasing Parameters and Statistics | 1.1.2 |
live Local Interpretable (Model-Agnostic) Visual Explanations | 1.5.13 |
liver "Eating the Liver of Data Science" | 1.18 |
ljr Logistic Joinpoint Regression | 1.4-0 |
LKT Logistic Knowledge Tracing | 1.7.0 |
llama Leveraging Learning to Automatically Manage Algorithms | 0.10.1 |
llbayesireg The L-Logistic Bayesian Regression | 1.0.0 |
LLM Logit Leaf Model Classifier for Binary Classification | 1.1.0 |
LLMR Interface for Large Language Model APIs in R | 0.1.1 |
llogistic The L-Logistic Distribution | 1.0.3 |
LLSR Data Analysis of Liquid-Liquid Systems using R | 0.0.3.1 |
lm.beta Add Standardized Regression Coefficients to Linear-Model-Objects | 1.7-2 |
lm.br Linear Model with Breakpoint | 2.9.8 |
lmap Logistic Mapping | 0.1.3 |
lmboot Bootstrap in Linear Models | 0.0.1 |
LMD A Self-Adaptive Approach for Demodulating Multi-Component Signal | 1.0.0 |
lmDiallel Linear Fixed/Mixed Effects Models for Diallel Crosses | 1.0.1 |
lmds Landmark Multi-Dimensional Scaling | 0.1.0 |
lme4 Linear Mixed-Effects Models using 'Eigen' and S4 | 1.1-35.5 |
lme4breeding Relationship-Based Mixed-Effects Models | 1.0.40 |
lmeInfo Information Matrices for 'lmeStruct' and 'glsStruct' Objects | 0.3.2 |
LMERConvenienceFunctions Model Selection and Post-Hoc Analysis for (G)LMER Models | 3.0 |
lmeresampler Bootstrap Methods for Nested Linear Mixed-Effects Models | 0.2.4 |
lmerPerm Perform Permutation Test on General Linear and Mixed Linear Regression | 0.1.9 |
lmerTest Tests in Linear Mixed Effects Models | 3.1-3 |
lmeSplines Add Smoothing Spline Modelling Capability to `nlme` | 1.1-12 |
LMest Generalized Latent Markov Models | 3.2.4 |
lmf Functions for Estimation and Inference of Selection in Age-Structured Populations | 1.2.1 |
LMfilteR Filter Methods for Parameter Estimation in Linear and Non Linear Regression Models | 0.1.3.1 |
lmfor Functions for Forest Biometrics | 1.6 |
lmForc Linear Model Forecasting | 1.0.0 |
lmhelprs Helper Functions for Linear Model Analysis | 0.4.0 |
lmls Gaussian Location-Scale Regression | 0.1.1 |
lmm Linear Mixed Models | 1.4 |
LMMELSM Fit Latent Multivariate Mixed Effects Location Scale Models | 0.2.0 |
lmmot Multiple Ordinal Tobit (MOT) Model | 0.1.4 |
lmmpar Parallel Linear Mixed Model | 0.1.0 |
LMMsolver Linear Mixed Model Solver | 1.0.8 |
LMMstar Repeated Measurement Models for Discrete Times | 1.1.0 |
LMN Inference for Linear Models with Nuisance Parameters | 1.1.3 |
lmodel2 Model II Regression | 1.7-4 |
LMoFit Advanced L-Moment Fitting of Distributions | 0.1.7 |
lmom L-Moments | 3.2 |
lmomco L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions | 2.5.1 |
Lmoments L-Moments and Quantile Mixtures | 1.3-1 |
lmomPi (Precipitation) Frequency Analysis and Variability with L-Moments from 'lmom' | 0.6.6 |
lmomRFA Regional Frequency Analysis using L-Moments | 3.8 |
LMPdata Easy Import of the EU Labour Market Policy Data | 0.1.0 |
lmPerm Permutation Tests for Linear Models | 2.1.0 |
lmQCM An Algorithm for Gene Co-Expression Analysis | 0.2.4 |
lmreg Data and Functions Used in Linear Models and Regression with R: An Integrated Approach | 1.2 |
lmridge Linear Ridge Regression with Ridge Penalty and Ridge Statistics | 1.2.2 |
lmSubsets Exact Variable-Subset Selection in Linear Regression | 0.5-2 |
lmtest Testing Linear Regression Models | 0.9-40 |
lmtestrob Outlier Robust Specification Testing | 0.1 |
lmtp Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies | 1.4.0 |
lmviz A Package to Visualize Linear Models Features and Play with Them | 0.2.0 |
lmw Linear Model Weights | 0.0.2 |
lncDIFF Long Non-Coding RNA Differential Expression Analysis | 1.0.0 |
LncFinder LncRNA Identification and Analysis Using Heterologous Features | 1.1.6 |
LncPath Identifying the Pathways Regulated by LncRNA Sets of Interest | 1.1 |
LNIRT LogNormal Response Time Item Response Theory Models | 0.5.1 |
lnmCluster Perform Logistic Normal Multinomial Clustering for Microbiome Compositional Data | 0.3.1 |
lnmixsurv Bayesian Mixture Log-Normal Survival Model | 3.1.6 |
LNPar Estimation and Testing for a Lognormal-Pareto Mixture | 0.1.0 |
loa Lattice Options and Add-Ins | 0.3.0.1 |
loadeR Load Data for Analysis System | 1.3.0 |
loadings Loadings for Principal Component Analysis and Partial Least Squares | 0.5.1 |
loadshaper Producing Load Shape with Target Peak and Load Factor | 1.1.1 |
LoBrA Generalized Spline Mixed Effect Models for Longitudinal Breath Data | 1.0 |
LobsterCatch Models the Capture Processes in American Lobster Trap Fishery | 0.1.0 |
lobstr Visualize R Data Structures with Trees | 1.1.2 |
localboot Local Bootstrap Methods for Various Networks | 0.9.2 |
LocalControl Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence | 1.1.4 |
LocalCop Local Likelihood Inference for Conditional Copula Models | 0.0.2 |
localFDA Localization Processes for Functional Data Analysis | 1.0.0 |
localgauss Estimating Local Gaussian Parameters | 0.41 |
localICE Local Individual Conditional Expectation | 0.1.1 |
localIV Estimation of Marginal Treatment Effects using Local Instrumental Variables | 0.3.1 |
localModel LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles | 0.5 |
localScore Package for Sequence Analysis by Local Score | 1.0.11 |
localsolver R API to LocalSolver | 2.3 |
locaR A Set of Tools for Sound Localization | 0.1.2 |
locateip Locate IP Addresses with 'ip-api' | 0.1.2 |
locatexec Detection and Localization of Executable Files | 0.1.1 |
locationgamer Identification of Location Game Equilibria in Networks | 0.1.0 |
LocaTT Geographically-Conscious Taxonomic Assignment for Metabarcoding | 1.1.2 |
locfdr Computes Local False Discovery Rates | 1.1-8 |
locfit Local Regression, Likelihood and Density Estimation | 1.5-9.10 |
locits Test of Stationarity and Localized Autocovariance | 1.7.7 |
Lock5Data Datasets for "Statistics: UnLocking the Power of Data" | 3.0.0 |
LocKer Locally Sparse Estimator of Generalized Varying Coefficient Model for Asynchronous Longitudinal Data | 1.1 |
locpol Kernel Local Polynomial Regression | 0.8.0 |
locpolExpectile Local Polynomial Expectile Regression | 0.1.1 |
locStra Fast Implementation of (Local) Population Stratification Methods | 1.9 |
LOCUS Low-Rank Decomposition of Brain Connectivity Matrices with Uniform Sparsity | 1.0 |
locuszoomr Gene Locus Plot with Gene Annotations | 0.3.5 |
loder Dependency-Free Access to PNG Image Files | 0.2.1 |
lodGWAS Genome-Wide Association Analysis of a Biomarker Accounting for Limit of Detection | 1.0-7 |
lodi Limit of Detection Imputation for Single-Pollutant Models | 0.9.2 |
lodr Linear Model Fitting with LOD Covariates | 1.0 |
loe Local Ordinal Embedding | 1.1 |
loedata Data Sets from "Lectures on Econometrics" by Chirok Han | 1.0.1 |
loewesadditivity Loewe's Additivity | 0.1.0 |
lofifonts Text Rendering with Bitmap and Vector Fonts | 0.1.3 |
log Record Events and Issues | 1.1.1 |
log4r A Fast and Lightweight Logging System for R, Based on 'log4j' | 0.4.4 |
LOGAN Log File Analysis in International Large-Scale Assessments | 1.0.1 |
LOGANTree Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments | 0.1.1 |
logbin Relative Risk Regression Using the Log-Binomial Model | 2.0.5 |
LogConcDEAD Log-Concave Density Estimation in Arbitrary Dimensions | 1.6-10 |
logconcens Maximum Likelihood Estimation of a Log-Concave Density Based on Censored Data | 0.17-4 |
logcondiscr Estimate a Log-Concave Probability Mass Function from Discrete i.i.d. Observations | 1.0.6 |
logger A Lightweight, Modern and Flexible Logging Utility | 0.4.0 |
logging R Logging Package | 0.10-108 |
loggit Modern Logging for the R Ecosystem | 2.1.1 |
loggit2 Easy-to-Use, Dependencyless Logger | 2.3.1 |
logib Salary Analysis by the Swiss Federal Office for Gender Equality | 0.1.2 |
logiBin Binning Variables to Use in Logistic Regression | 0.3 |
logicDT Identifying Interactions Between Binary Predictors | 1.0.5 |
LogicForest Logic Forest | 2.1.1 |
LogicReg Logic Regression | 1.6.6 |
logihist Combined Graphs for Logistic Regression | 1.0 |
login 'shiny' Login Module | 0.9.3 |
logistf Firth's Bias-Reduced Logistic Regression | 1.26.0 |
logistic4p Logistic Regression with Misclassification in Dependent Variables | 1.6 |
LogisticCopula A Copula Based Extension of Logistic Regression | 0.1.0 |
LogisticCurveFitting Logistic Curve Fitting by Rhodes Method | 0.1.0 |
logisticPCA Binary Dimensionality Reduction | 0.2 |
LogisticRCI Linear and Logistic Regression-Based Reliable Change Index | 1.1 |
logisticRR Adjusted Relative Risk from Logistic Regression | 0.3.0 |
logitFD Functional Principal Components Logistic Regression | 1.0 |
logitnorm Functions for the Logitnormal Distribution | 0.8.39 |
logitr Logit Models w/Preference & WTP Space Utility Parameterizations | 1.1.2 |
logKDE Computing Log-Transformed Kernel Density Estimates for Positive Data | 0.3.2 |
loglognorm Double Log Normal Distribution Functions | 1.0.2 |
logmult Log-Multiplicative Models, Including Association Models | 0.7.4 |
lognorm Functions for the Lognormal Distribution | 0.1.10 |
logNormReg log Normal Linear Regression | 0.5-0 |
logOfGamma Natural Logarithms of the Gamma Function for Large Values | 0.0.1 |
logr Creates Log Files | 1.3.8 |
LogRegEquiv Logistic Regression Equivalence | 0.1.5 |
logrx A Logging Utility Focus on Clinical Trial Programming Workflows | 0.3.1 |
logspline Routines for Logspline Density Estimation | 2.1.22 |
lokern Kernel Regression Smoothing with Local or Global Plug-in Bandwidth | 1.1-12 |
lolliplot Plot Variants and Somatic Mutations | 0.2.2 |
lolog Latent Order Logistic Graph Models | 1.3.1 |
lolR Linear Optimal Low-Rank Projection | 2.1 |
LOMAR Localization Microscopy Data Analysis | 0.5.0 |
lomb Lomb-Scargle Periodogram | 2.5.0 |
long2lstmarray Longitudinal Dataframes into Arrays for Machine Learning Training | 0.2.0 |
LongCART Recursive Partitioning for Longitudinal Data and Right Censored Data Using Baseline Covariates | 3.2 |
longclust Model-Based Clustering and Classification for Longitudinal Data | 1.5 |
LongDat A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data | 1.1.3 |
longevity Statistical Methods for the Analysis of Excess Lifetimes | 1.1.1 |
longit High Dimensional Longitudinal Data Analysis Using MCMC | 0.1.0 |
longitudinal Analysis of Multiple Time Course Data | 1.1.13 |
longitudinalANAL Longitudinal Data Analysis | 0.2 |
longitudinalcascade Longitudinal Cascade | 0.3.2.6 |
longitudinalData Longitudinal Data | 2.4.7 |
LongituRF Random Forests for Longitudinal Data | 0.9 |
longke Nonparametric Predictive Model for Sparse and Irregular Longitudinal Data | 0.1.0 |
longmemo Statistics for Long-Memory Processes (Book Jan Beran), and Related Functionality | 1.1-3 |
LongMemoryTS Long Memory Time Series | 0.1.0 |
longmixr Longitudinal Consensus Clustering with 'flexmix' | 1.0.0 |
longpower Sample Size Calculations for Longitudinal Data | 1.0.27 |
longreadvqs Viral Quasispecies Comparison from Long-Read Sequencing Data | 0.1.3 |
longROC Time-Dependent Prognostic Accuracy with Multiply Evaluated Bio Markers or Scores | 1.0 |
longRPart2 Recursive Partitioning of Longitudinal Data | 0.2.3 |
longsurr Longitudinal Surrogate Marker Analysis | 1.0 |
longurl Expand Short 'URLs' | 0.3.3 |
loo Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models | 2.8.0 |
lookout Leave One Out Kernel Density Estimates for Outlier Detection | 0.1.4 |
lookup Functions Similar to VLOOKUP in Excel | 1.0 |
lookupTable Look-Up Tables using S4 | 0.1 |
loon Interactive Statistical Data Visualization | 1.4.1 |
loon.data Data Used to Illustrate 'Loon' Functionality | 0.1.3 |
loon.ggplot A Grammar of Interactive Graphics | 1.3.4 |
loon.shiny Automatically Create a 'Shiny' App Based on Interactive 'Loon' Widgets | 1.0.3 |
loon.tourr Tour in 'Loon' | 0.1.4 |
LoopAnalyst A Collection of Tools to Conduct Levins' Loop Analysis | 1.2-7 |
LoopDetectR Comprehensive Feedback Loop Detection in ODE Models | 0.1.2 |
LoopRig Integration and Analysis of Chromatin Loop Data | 0.1.1 |
LOPART Labeled Optimal Partitioning | 2024.6.19 |
lorad Lowest Radial Distance Method of Marginal Likelihood Estimation | 0.0.1.0 |
lordif Logistic Ordinal Regression Differential Item Functioning using IRT | 0.3-3 |
lorec LOw Rand and sparsE Covariance matrix estimation | 0.6.1 |
lorem Generate Lorem Ipsum Text | 1.0.0 |
lorentz The Lorentz Transform in Relativistic Physics | 1.1-1 |
lorenz Tools for Deriving Income Inequality Estimates from Grouped Income Data | 0.1.0 |
LorenzRegression Lorenz and Penalized Lorenz Regressions | 2.1.0 |
lori Imputation of High-Dimensional Count Data using Side Information | 2.2.3 |
LorMe Lightening One-Code Resolving Microbial Ecology Solution | 1.1.0 |
LOST Missing Morphometric Data Simulation and Estimation | 2.1.1 |
lotri A Simple Way to Specify Symmetric, Block Diagonal Matrices | 1.0.0 |
lotterybr Lottery Datasets from Caixa Economica Federal | 0.2.0 |
lovecraftr A Collection of Lovecraftian Tales and Texts | 1.2.0 |
lowmemtkmeans Low Memory Use Trimmed K-Means | 0.1.2 |
lowpassFilter Lowpass Filtering | 1.0-2 |
LowRankQP Low Rank Quadratic Programming | 1.0.6 |
LowWAFOMNX Low WAFOM Niederreiter-Xing Sequence | 1.1.1 |
LowWAFOMSobol Low WAFOM Sobol Sequence | 1.1.1 |
lpacf Local Partial Autocorrelation Function Estimation for Locally Stationary Wavelet Processes | 1.0.1 |
LPBkg Detecting New Signals under Background Mismodelling | 1.2 |
lpc Lassoed Principal Components for Testing Significance of Features | 1.0.2.1 |
lpcde Boundary Adaptive Local Polynomial Conditional Density Estimator | 0.1.5 |
LPCM Local Principal Curve Methods | 0.47-6 |
lpda Linear Programming Discriminant Analysis | 1.0.1 |
lpdensity Local Polynomial Density Estimation and Inference | 2.5 |
LPDynR Land Productivity Dynamics Indicator | 1.0.5 |
LPGraph Nonparametric Smoothing of Laplacian Graph Spectra | 2.1 |
lphom Ecological Inference by Linear Programming under Homogeneity | 0.3.5-5 |
lpint Local Polynomial Estimators of the Intensity Function and Its Derivatives | 2.1 |
lpirfs Local Projections Impulse Response Functions | 0.2.3 |
LPKsample LP Nonparametric High Dimensional K-Sample Comparison | 2.1 |
lpl Local Partial Likelihood Estimation and Simultaneous Confidence Band | 0.11 |
LPM Linear Parametric Models Applied to Hydrological Series | 3.2 |
lpme Nonparametric Estimation of Measurement Error Models | 1.1.3 |
LPmerge Merging Linkage Maps by Linear Programming | 1.7 |
LPower Calculates Power, Sample Size, or Detectable Effect for Longitudinal Analyses | 0.1.1 |
LPRelevance Relevance-Integrated Statistical Inference Engine | 3.3 |
lpridge Local Polynomial (Ridge) Regression | 1.1-0 |
LPS Linear Predictor Score, for Binary Inference from Multiple Continuous Variables | 1.0.16 |
LPsmooth LP Smoothed Inference and Graphics | 0.1.3 |
lpSolve Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs | 5.6.23 |
lpSolveAPI R Interface to 'lp_solve' Version 5.5.2.0 | 5.5.2.0-17.12 |
LPWC Lag Penalized Weighted Correlation for Time Series Clustering | 1.0.0 |
LqG Robust Group Variable Screening Based on Maximum Lq-Likelihood Estimation | 0.1.0 |
lqmix Linear Quantile Mixture Models | 1.0 |
lqmm Linear Quantile Mixed Models | 1.5.8 |
lqr Robust Linear Quantile Regression | 5.2 |
LRcontrast Dose Response Signal Detection under Model Uncertainty | 1.0 |
lrd A Package for Processing Lexical Response Data | 0.1.0 |
LREP Estimate and Test Exponential vs. Pareto Distributions | 0.1.1 |
lrequire Sources an R "Module" with Caching & Encapsulation, Returning Exported Vars | 0.1.3 |
lrgs Linear Regression by Gibbs Sampling | 0.5.4 |
lrmest Different Types of Estimators to Deal with Multicollinearity | 3.0 |
LRMF3 Low Rank Matrix Factorization S3 Objects | 0.1.0 |
lrstat Power and Sample Size Calculation for Non-Proportional Hazards and Beyond | 0.2.11 |
LRTesteR Likelihood Ratio Tests and Confidence Intervals | 1.2.1 |
LS2W Locally Stationary Two-Dimensional Wavelet Process Estimation Scheme | 1.3.6 |
LS2Wstat A Multiscale Test of Spatial Stationarity for LS2W Processes | 2.1-5 |
lsa Latent Semantic Analysis | 0.73.3 |
LSAfun Applied Latent Semantic Analysis (LSA) Functions | 0.7.1 |
LSAmitR Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R' | 1.0-3 |
lsasim Functions to Facilitate the Simulation of Large Scale Assessment Data | 2.1.5 |
lsbclust Least-Squares Bilinear Clustering for Three-Way Data | 1.1 |
lsbs Bandwidth Selection for Level Sets and HDR Estimation | 0.1 |
LSD Lots of Superior Depictions | 4.1-0 |
lsdbc Locally Scaled Density Based Clustering | 0.1.0 |
LSDinterface Interface Tools for LSD Simulation Results Files | 1.2.2 |
LSDirf Impulse-Response Function Analysis for Agent-Based Models | 0.1.3 |
LSDsensitivity Sensitivity Analysis Tools for LSD Simulations | 1.3.0 |
LSE Constrained Least Squares and Generalized QR Factorization | 1.0.0 |
LSEbootLS Bootstrap Methods for Regression Models with Locally Stationary Errors | 0.1.0 |
lsei Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints | 1.3-0 |
lsirm12pl Latent Space Item Response Model | 1.3.3 |
lsl Latent Structure Learning | 0.5.6 |
lslx Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood or Least Squares | 0.6.11 |
lsm Estimation of the log Likelihood of the Saturated Model | 0.2.1.4 |
lsmeans Least-Squares Means | 2.30-0 |
LSMonteCarlo American options pricing with Least Squares Monte Carlo method | 1.0 |
LSMRealOptions Value American and Real Options Through LSM Simulation | 0.2.1 |
lsnstat 'La Societe Nouvelle' API Access | 1.0.1 |
lspartition Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression | 0.4 |
LSPFP Lysate and Secretome Peptide Feature Plotter | 1.0.3 |
lspline Linear Splines with Convenient Parametrisations | 1.0-0 |
lspls LS-PLS Models | 0.2-2 |
lsr Companion to "Learning Statistics with R" | 0.5.2 |
LSRS Land Surface Remote Sensing | 0.2.0 |
lss2 The Accelerated Failure Time Model to Right Censored Data Based on Least-Squares Principle | 1.1 |
LST Land Surface Temperature Retrieval for Landsat 8 | 2.0.0 |
LSTbook Data and Software for "Lessons in Statistical Thinking" | 0.6 |
LSTS Locally Stationary Time Series | 2.1 |
LSVAR Estimation of Low Rank Plus Sparse Structured Vector Auto-Regressive (VAR) Model | 1.2 |
LSWPlib Simulation and Spectral Estimation of Locally Stationary Wavelet Packet Processes | 0.1.0 |
LSX Semi-Supervised Algorithm for Document Scaling | 1.4.0 |
ltable Easy to Make (Lazy) Tables | 2.0.4 |
LTAR Tensor Forecasting Functions | 0.1.0 |
LTASR Functions to Replicate the Center for Disease Control and Prevention's 'LTAS' Software in R | 0.1.4 |
LTCDM Latent Transition Cognitive Diagnosis Model with Covariates | 1.0.0 |
lterdatasampler Educational Dataset Examples from the Long Term Ecological Research Program | 0.1.1 |
lterpalettefinder Extract Color Palettes from Photos and Pick Official LTER Palettes | 1.1.0 |
ltertools Tools Developed by the Long Term Ecological Research Community | 1.1.0 |
LTFHPlus Implementation of LT-FH++ | 2.1.2 |
ltm Latent Trait Models under IRT | 1.2-0 |
ltmix Left-Truncated Mixtures of Gamma, Weibull, and Lognormal Distributions | 0.2.2 |
ltmle Longitudinal Targeted Maximum Likelihood Estimation | 1.3-0 |
LTPDvar LTPD and AOQL Plans for Acceptance Sampling Inspection by Variables | 1.2.1 |
LTRCforests Ensemble Methods for Survival Data with Time-Varying Covariates | 0.7.0 |
LTRCtrees Survival Trees to Fit Left-Truncated and Right-Censored and Interval-Censored Survival Data | 1.1.1 |
ltsa Linear Time Series Analysis | 1.4.6.1 |
ltsk Local Time Space Kriging | 1.1.2 |
ltsspca Sparse Principal Component Based on Least Trimmed Squares | 0.1.0 |
ltxsparklines Lightweight Sparklines for a LaTeX Document | 1.1.3 |
luajr 'LuaJIT' Scripting | 0.1.8 |
lubridate Make Dealing with Dates a Little Easier | 1.9.4 |
lubrilog Get Insights on 'lubridate' Operations | 1.1.0 |
luca Likelihood Inference from Case-Control Data under Covariate Assumptions | 1.0-6 |
lucas Package to Download and Create the DB of LUCAS Data Harmonized | 1.0 |
lucid Printing Floating Point Numbers in a Human-Friendly Format | 1.8 |
LUCIDus LUCID with Multiple Omics Data | 3.0.3 |
ludic Linkage Using Diagnosis Codes | 0.2.0 |
lue Light Use Efficiency Model to Estimate Biomass and YIELD with and Without Vapour Pressure Deficit | 0.2.1 |
lulab.utils Supporting Functions Maintained by Zhen Lu | 0.0.4 |
lulcc Land Use Change Modelling in R | 1.0.4 |
lumberjack Track Changes in Data | 1.3.1 |
Luminescence Comprehensive Luminescence Dating Data Analysis | 0.9.26 |
lunar Calculate Lunar Phase & Distance, Seasons and Related Environmental Factors | 0.2-1 |
lutz Look Up Time Zones of Point Coordinates | 0.3.2 |
luz Higher Level 'API' for 'torch' | 0.4.0 |
luzlogr Lightweight Logging for R Scripts | 0.2.1 |
LVGP Latent Variable Gaussian Process Modeling with Qualitative and Quantitative Input Variables | 2.1.5 |
lvmcomp Stochastic EM Algorithms for Latent Variable Models with a High-Dimensional Latent Space | 1.2 |
lvmisc Veras Miscellaneous | 0.1.2 |
lvnet Latent Variable Network Modeling | 0.3.5 |
lvplot Letter Value 'Boxplots' | 0.2.1 |
LW1949 An Automated Approach to Evaluating Dose-Effect Experiments Following Litchfield and Wilcoxon (1949) | 1.1.0 |
lwc2022 Langa-Weir Classification of Cognitive Function for 2022 HRS Data | 1.0.0 |
LWFBrook90R Simulate Evapotranspiration and Soil Moisture with the SVAT Model LWF-Brook90 | 0.6.1 |
lwgeom Bindings to Selected 'liblwgeom' Functions for Simple Features | 0.2-14 |
lwqs Lagged Weighted Quantile Sum Regression | 0.5.0 |
LZeroSpikeInference Exact Spike Train Inference via L0 Optimization | 1.0.3 |
lzstring Wrapper for 'lz-string' 'C++' Library | 0.1.3 |
m2b Movement to Behaviour Inference using Random Forest | 1.0 |
m2r Interface to 'Macaulay2' | 1.0.2 |
M2SMF Multi-Modal Similarity Matrix Factorization for Integrative Multi-Omics Data Analysis | 2.0 |
M2SMJF Multi-Modal Similarity Matrix Joint Factorization | 1.0 |
M3 Reading M3 Files | 0.4 |
M3C | 1.28.0 |
M3JF Multi-Modal Matrix Joint Factorization for Integrative Multi-Omics Data Analysis | 0.1.0 |
m5 'M5 Forecasting' Challenges Data | 0.1.1 |
m61r Package About Data Manipulation in Pure Base R | 0.0.3 |
MAAPER Analysis of Alternative Polyadenylation Using 3' End-Linked Reads | 1.1.1 |
maat Multiple Administrations Adaptive Testing | 1.1.0 |
mabacR Assisting Decision Makers | 0.1.0 |
mable Maximum Approximate Bernstein/Beta Likelihood Estimation | 4.1.1 |
MABOUST Multi-Armed Bayesian Ordinal Utility-Based Sequential Trial | 1.0.1 |
MacBehaviour Behavioural Studies of Large Language Models | 1.2.8 |
macc Mediation Analysis of Causality under Confounding | 1.0.1 |
MACER Molecular Acquisition, Cleaning, and Evaluation in R 'MACER' | 0.2.1 |
MachineShop Machine Learning Models and Tools | 3.8.0 |
macleish Retrieve Data from MacLeish Field Station | 0.3.9 |
maclogp Measures of Uncertainty for Model Selection | 0.1.1 |
macroBiome A Tool for Mapping the Distribution of the Biomes and Bioclimate | 0.4.0 |
macrocol Colombian Macro-Financial Time Series Generator | 0.1.0 |
macrosyntR Draw Ordered Oxford Grids and Chord Diagrams | 0.3.3 |
MacroZooBenthosWaterA Fresh Water Quality Analysis Based on Macrozoobenthos | 0.1.0 |
mactivate Multiplicative Activation | 0.6.6 |
maczic Mediation Analysis for Count and Zero-Inflated Count Data | 1.0.0 |
MAd Meta-Analysis with Mean Differences | 0.8-3 |
mada Meta-Analysis of Diagnostic Accuracy | 0.5.11 |
MadanText Persian Text Mining Tool for Frequency Analysis, Statistical Analysis, and Word Clouds | 0.1.0 |
MadanTextNetwork Persian Text Mining Tool for Co-Occurrence Network | 0.1.0 |
maddison The Maddison Project Database | 0.2 |
madgrad 'MADGRAD' Method for Stochastic Optimization | 0.1.0 |
maditr Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table' | 0.8.5 |
madness Automatic Differentiation of Multivariate Operations | 0.2.8 |
MADPop MHC Allele-Based Differencing Between Populations | 1.1.7 |
madr Model Averaged Double Robust Estimation | 1.0.0 |
madrat May All Data be Reproducible and Transparent (MADRaT) * | 3.6.4 |
madshapR Support Technical Processes Following 'Maelstrom Research' Standards | 1.1.0 |
madsim A Flexible Microarray Data Simulation Model | 1.2.1 |
maestro Orchestration of Data Pipelines | 0.4.1 |
Maeswrap Wrapper Functions for MAESTRA/MAESPA | 1.7 |
mafR Interface for Masked Autoregressive Flows | 1.1.6 |
maftools | 2.22.0 |
magclass Data Class and Tools for Handling Spatial-Temporal Data | 6.13.2 |
MAGEE Mixed Model Association Test for GEne-Environment Interaction | 1.4.2 |
magi MAnifold-Constrained Gaussian Process Inference | 1.2.4 |
magic Create and Investigate Magic Squares | 1.6-1 |
magicaxis Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support | 2.4.5 |
magicfor Magic Functions to Obtain Results from for Loops | 0.1.0 |
magick Advanced Graphics and Image-Processing in R | 2.8.5 |
magickGUI GUI Tools for Interactive Image Processing with 'magick' | 1.3.1 |
magicLamp 'WeMo Switch' Smart Plug Utilities | 0.1.0 |
MAGMA.R MAny-Group MAtching | 1.0.3 |
MagmaClustR Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean | 1.2.1 |
magmaR R-Client for Interacting with the 'UCSF Data Library' | 1.0.3 |
MAGNAMWAR A Pipeline for Meta-Genome Wide Association | 2.0.4 |
magree Implements the O'Connell-Dobson-Schouten Estimators of Agreement for Multiple Observers | 1.2 |
magrittr A Forward-Pipe Operator for R | 2.0.3 |
maGUI A Graphical User Interface for Microarray Data Analysis and Annotation | 4.0 |
maic Matching-Adjusted Indirect Comparison | 0.1.4 |
maicChecks Assessing the Numerical Feasibility for Conducting a Matching-Adjusted Indirect Comparison (MAIC) | 0.1.2 |
maicplus Matching Adjusted Indirect Comparison | 0.1.1 |
mailchimpR Get Mailchimp Data via the 'Windsor.ai' API | 0.1.0 |
mailmerge Mail Merge Using R Markdown Documents and 'gmailr' | 0.2.5 |
mailR A Utility to Send Emails from R | 0.8 |
mailtoR Creates a Friendly User Interface for Emails Sending in 'shiny' | 0.1.0 |
MainExistingDatasets Main Existing Human Datasets | 1.0.2 |
MAINT.Data Model and Analyse Interval Data | 2.7.1 |
MajKMeans k-Means Algorithm with a Majorization-Minimization Method | 0.1.0 |
MajMinKmeans k-Means Algorithm with a Majorization-Minimization Method | 0.1.0 |
makedummies Create Dummy Variables from Categorical Data | 1.2.1 |
MakefileR Create 'Makefiles' Using R | 1.0 |
makeFlow Visualizing Sequential Classifications | 1.0.2 |
makeit Run R Scripts if Needed | 1.0.1 |
makemyprior Intuitive Construction of Joint Priors for Variance Parameters | 1.2.2 |
makePalette Make Palette | 0.1.2 |
makepipe Pipeline Tools Inspired by 'GNU Make' | 0.2.1 |
makeProject Creates an empty package framework for the LCFD format | 1.0 |
maketools Exploring and Testing the Toolchain and System Libraries | 1.3.1 |
makeunique Make Character Strings Unique | 1.0.0 |
MAKL Multiple Approximate Kernel Learning (MAKL) | 1.0.1 |
malan MAle Lineage ANalysis | 1.0.3 |
malani Machine Learning Assisted Network Inference | 1.0 |
malariaAtlas An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project' | 1.6.3 |
malaytextr Text Mining for Bahasa Malaysia | 0.1.3 |
MALDIcellassay Automated MALDI Cell Assays Using Dose-Response Curve Fitting | 0.4.47 |
maldipickr Dereplicate and Cherry-Pick Mass Spectrometry Spectra | 1.3.1 |
MALDIquant Quantitative Analysis of Mass Spectrometry Data | 1.22.3 |
MALDIquantForeign Import/Export Routines for 'MALDIquant' | 0.14.1 |
MALDIrppa MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis | 1.1.0-2 |
mall Run Multiple Large Language Model Predictions Against a Table, or Vectors | 0.1.0 |
mallet An R Wrapper for the Java Mallet Topic Modeling Toolkit | 1.3.0 |
malvinas Islas Malvinas, Georgias Del Sur y Sándwich Del Sur | 0.1.0 |
MAMS Designing Multi-Arm Multi-Stage Studies | 3.0.0 |
ManagedCloudProvider Providing the Kubernetes-Like Functions for the Non-Kubernetes Cloud Service | 1.0.0 |
managelocalrepo Manage a CRAN-Style Local Repository | 0.1.5 |
MANCIE Matrix Analysis and Normalization by Concordant Information Enhancement | 1.4 |
mand Multivariate Analysis for Neuroimaging Data | 2.0 |
MandalaR Building Mandalas from Parametric Equations of Classical Curves | 0.1.0 |
mandelbrot Generates Views on the Mandelbrot Set | 0.2.0 |
manet Multiple Allocation Model for Actor-Event Networks | 2.0 |
Mangrove Risk Prediction on Trees | 1.21 |
manhattanly Interactive Q-Q and Manhattan Plots Using 'plotly.js' | 0.3.0 |
manhplot The Manhattan++ Plot | 1.1 |
manifestoR Access and Process Data and Documents of the Manifesto Project | 1.6.0 |
manifold Operations for Riemannian Manifolds | 0.1.1 |
ManifoldOptim An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization | 1.0.1 |
manipulate Interactive Plots for RStudio | 1.0.1 |
manipulateWidget Add Even More Interactivity to Interactive Charts | 0.11.1 |
ManlyMix Manly Mixture Modeling and Model-Based Clustering | 0.1.15.1 |
MAnorm2 Tools for Normalizing and Comparing ChIP-seq Samples | 1.2.2 |
MANOVA.RM Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs | 0.5.4 |
manta Multivariate Asymptotic Non-Parametric Test of Association | 1.0.1 |
MantaID A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs | 1.0.4 |
manydata A Portal for Global Governance Data | 0.9.3 |
manymodelr Build and Tune Several Models | 0.3.7 |
manymome Mediation, Moderation and Moderated-Mediation After Model Fitting | 0.2.5 |
manymome.table Publication-Ready Tables for 'manymome' Results | 0.4.0 |
manynet Many Ways to Make, Modify, Map, Mark, and Measure Myriad Networks | 1.3.2 |
ManyTests Multiple Testing Procedures of Cox (2011) and Wong and Cox (2007) | 1.2 |
MaOEA Many Objective Evolutionary Algorithm | 0.6.2 |
maotai Tools for Matrix Algebra, Optimization and Inference | 0.2.5 |
MAP Multimodal Automated Phenotyping | 1.0.0 |
Map2NCBI Mapping Markers to the Nearest Genomic Feature | 1.4 |
MAPA Multiple Aggregation Prediction Algorithm | 2.0.7 |
mapaccuracy Unbiased Thematic Map Accuracy and Area | 0.1.2 |
mapbayr MAP-Bayesian Estimation of PK Parameters | 0.10.0 |
mapboxapi R Interface to 'Mapbox' Web Services | 0.6.2 |
mapboxer An R Interface to 'Mapbox GL JS' | 0.4.0 |
mapcan Tools for Plotting Canadian Choropleth Maps and Choropleth Alternatives | 0.0.1 |
mapchina China Administrative Divisions Geospatial Shapefile Data | 0.1.0 |
mapdata Extra Map Databases | 2.3.1 |
mapdeck Interactive Maps Using 'Mapbox GL JS' and 'Deck.gl' | 0.3.5 |
mapedit Interactive Editing of Spatial Data in R | 0.6.0 |
mapfit PH/MAP Parameter Estimation | 1.0.0 |
MapGAM Mapping Smoothed Effect Estimates from Individual-Level Data | 1.3 |
mapgl Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS' | 0.1.4 |
mapi Mapping Averaged Pairwise Information | 1.0.5 |
mapindia Plot Map of the Indian Subcontinent | 1.0.1 |
mapindiatools Mapping Data for 'mapindia' Package | 1.0.1 |
Mapinguari Process-Based Biogeographical Analysis | 2.0.1 |
mapiso Create Contour Polygons from Regular Grids | 0.3.0 |
MAPITR MArginal ePIstasis Test for Regions | 1.1.2 |
maplegend Legends for Maps | 0.2.0 |
mapme.biodiversity Efficient Monitoring of Global Biodiversity Portfolios | 0.9.3 |
mapmisc Utilities for Producing Maps | 2.1.0 |
mapmixture Spatial Visualisation of Admixture on a Projected Map | 1.1.4 |
mappeR Construct and Visualize TDA Mapper Graphs | 1.3.0 |
MapperAlgo Topological Data Analysis: Mapper Algorithm | 1.0.1 |
mapping Automatic Download, Linking, Manipulating Coordinates for Maps | 1.4.1 |
mappings Functions for Transforming Categorical Variables | 0.1 |
mapplots Data Visualisation on Maps | 1.5.2 |
mappoly Genetic Linkage Maps in Autopolyploids | 0.4.1 |
mappp Map in Parallel with Progress | 1.0.0 |
mapproj Map Projections | 1.2.11 |
maps Draw Geographical Maps | 3.4.2.1 |
mapsapi 'sf'-Compatible Interface to 'Google Maps' APIs | 0.5.4 |
mapscanner Print Maps, Draw on Them, Scan Them Back in | 0.1.1 |
mapsf Thematic Cartography | 0.12.0 |
mapsFinland Maps of Finland | 0.2.2 |
mapSpain Administrative Boundaries of Spain | 0.10.0 |
mapsPERU Maps of Peru | 2.0.0 |
mapsRinteractive Local Adaptation and Evaluation of Raster Maps | 2.0.1 |
mapStats Geographic Display of Survey Data Statistics | 3.1 |
maptiles Download and Display Map Tiles | 0.8.0 |
maptools Tools for Handling Spatial Objects | 1.1-8 |
maptpx MAP Estimation of Topic Models | 1.9-7 |
maptree Mapping, Pruning, and Graphing Tree Models | 1.4-8 |
mapview Interactive Viewing of Spatial Data in R | 2.11.2 |
maq Multi-Armed Qini | 0.5.0 |
mAr Multivariate AutoRegressive Analysis | 1.2-0 |
mar1s Multiplicative AR(1) with Seasonal Processes | 2.1.1 |
maraca The Maraca Plot: Visualization of Hierarchical Composite Endpoints in Clinical Trials | 0.7 |
marble Robust Marginal Bayesian Variable Selection for Gene-Environment Interactions | 0.0.3 |
march Markov Chains | 3.3.2 |
marcher Migration and Range Change Estimation in R | 0.0-2 |
marelac Tools for Aquatic Sciences | 2.1.11 |
MareyMap Estimation of Meiotic Recombination Rates Using Marey Maps | 1.3.7 |
marg Approximate Marginal Inference for Regression-Scale Models | 1.2-2.1 |
margaret Scientometric Analysis Minciencias | 0.1.4 |
MargCond Joint Marginal-Conditional Model | 1.0.0 |
marginaleffects Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests | 0.24.0 |
marginalizedRisk Estimating Marginalized Risk | 2024.5-17 |
MarginalMediation Marginal Mediation | 0.7.2 |
margins Marginal Effects for Model Objects | 0.3.28 |
marima Multivariate ARIMA and ARIMA-X Analysis | 2.2 |
mark Miscellaneous, Analytic R Kernels | 0.8.2 |
markdown Render Markdown with 'commonmark' | 1.13 |
markdownInput Shiny Module for a Markdown Input with Result Preview | 0.1.2 |
marked Mark-Recapture Analysis for Survival and Abundance Estimation | 1.2.8 |
markerpen Marker Gene Detection via Penalized Principal Component Analysis | 0.1.1 |
MarketMatching Market Matching and Causal Impact Inference | 1.2.1 |
marketr Tidy Calculation of Marketing Metrics Plus Quick Analysis | 0.0.2 |
markets Estimation Methods for Markets in Equilibrium and Disequilibrium | 1.1.5 |
markmyassignment Automatic Marking of R Assignments | 0.8.8 |
markophylo Markov Chain Models for Phylogenetic Trees | 1.0.9 |
markovchain Easy Handling Discrete Time Markov Chains | 0.10.0 |
Markovchart Markov Chain-Based Cost-Optimal Control Charts | 2.1.5 |
markovmix Mixture of Markov Chains with Support of Higher Orders and Multiple Sequences | 0.1.3 |
markovMSM Methods for Checking the Markov Condition in Multi-State Survival Data | 0.1.3 |
markowitz Markowitz Criterion | 0.1.0 |
MarkowitzR Statistical Significance of the Markowitz Portfolio | 1.0.3 |
marlod Marginal Modeling for Exposure Data with Values Below the LOD | 0.1.2 |
marmap Import, Plot and Analyze Bathymetric and Topographic Data | 1.0.10 |
MARMoT Matching on Poset-Based Average Rank for Multiple Treatments (MARMoT) | 0.0.4 |
marp Model-Averaged Renewal Process | 0.1.0 |
marqLevAlg A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm | 2.0.8 |
marquee Markdown Parser and Renderer for R Graphics | 0.1.0 |
marradistrees Plots a Tree-Like Representation of a Numerical Variable (Marradi's Tree) | 1.0 |
MARSANNhybrid MARS Based ANN Hybrid Model | 0.1.0 |
MARSGWR A Hybrid Spatial Model for Capturing Spatially Varying Relationships Between Variables in the Data | 0.1.0 |
MARSS Multivariate Autoregressive State-Space Modeling | 3.11.9 |
MARSSVRhybrid MARS SVR Hybrid | 0.1.0 |
MARVEL Revealing Splicing Dynamics at Single-Cell Resolution | 1.4.0 |
MarZIC Marginal Mediation Effects with Zero-Inflated Compositional Mediator | 1.0.0 |
mas Marker Association Studies | 0.3 |
maSAE Mandallaz' Model-Assisted Small Area Estimators | 2.0.3 |
mase Model-Assisted Survey Estimators | 0.1.5.2 |
mashr Multivariate Adaptive Shrinkage | 0.2.79 |
maskr Visual Class for Vectors with Non-Publishing Requirements | 0.1.0 |
maskRangeR Mask Species Geographic Ranges | 1.1 |
MASS Support Functions and Datasets for Venables and Ripley's MASS | 7.3-61 |
masscor Mass Measurement Corrections | 0.0.7.1 |
MASSExtra Some 'MASS' Enhancements | 1.2.2 |
Massign Simple Matrix Construction | 1.1.0 |
massiveGST Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test | 1.2.3 |
MassSpecWavelet | 1.72.0 |
MASSTIMATE Body Mass Estimation Equations for Vertebrates | 2.0-1 |
MassWateR Quality Control and Analysis of Massachusetts Water Quality Data | 2.1.5 |
MAST | 1.32.0 |
mastif Mast Inference and Forecasting | 2.3 |
MAT Multidimensional Adaptive Testing | 2.3.2 |
MATA Model-Averaged Tail Area (MATA) Confidence Interval and Distribution | 0.7.1 |
matahari Spy on Your R Session | 0.1.3 |
matchedcc 'Stata'-Like Matched Case-Control Analysis | 0.1.1 |
matchFeat One-to-One Feature Matching | 1.0 |
MatchGATE Estimate Group Average Treatment Effects with Matching | 0.0.10 |
Matching Multivariate and Propensity Score Matching with Balance Optimization | 4.10-15 |
matchingMarkets Analysis of Stable Matchings | 1.0-4 |
matchingR Matching Algorithms in R and C++ | 1.3.3 |
MatchIt Nonparametric Preprocessing for Parametric Causal Inference | 4.6.0 |
MatchLinReg Combining Matching and Linear Regression for Causal Inference | 0.8.1 |
matchmaker Flexible Dictionary-Based Cleaning | 0.1.1 |
matchMulti Optimal Multilevel Matching using a Network Algorithm | 1.1.12.1 |
matchr Pattern Matching and Enumerated Types in R | 0.1.0 |
MatchThem Matching and Weighting Multiply Imputed Datasets | 1.2.1 |
matconv A Code Converter from the Matlab/Octave Language to R | 0.4.2 |
mateable Assess Mating Potential in Space and Time | 0.3.2 |
materialmodifier Apply Photo Editing Effects | 1.2.0 |
mathjaxr Using 'Mathjax' in Rd Files | 1.6-0 |
mathpix Support for the 'Mathpix' API (Image to 'LaTeX') | 0.6.0 |
matlab 'MATLAB' Emulation Package | 1.0.4.1 |
matlab2r Translation Layer from MATLAB to R | 1.5.0 |
matlabr An Interface for MATLAB using System Calls | 1.5.2 |
matlib Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics | 1.0.0 |
matman Material Management | 1.1.3 |
matpow Matrix Powers | 0.1.2 |
matrans Model Averaging-Assisted Optimal Transfer Learning | 0.1.0 |
matricks Useful Tricks for Matrix Manipulation | 0.8.2 |
matRiks Generates Raven-Like Matrices According to Rules | 0.1.3 |
matrisk Macroeconomic-at-Risk | 0.1.0 |
Matrix Sparse and Dense Matrix Classes and Methods | 1.7-1 |
matrixcalc Collection of Functions for Matrix Calculations | 1.0-6 |
MatrixCorrelation Matrix Correlation Coefficients | 0.10.0 |
matrixcut Determines Clustering Threshold Based on Similarity Values | 0.0.1 |
matrixdist Statistics for Matrix Distributions | 1.1.9 |
MatrixEQTL Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Operations | 2.3 |
MatrixExtra Extra Methods for Sparse Matrices | 0.1.15 |
MatrixGenerics | 1.18.0 |
MatrixHMM Parsimonious Families of Hidden Markov Models for Matrix-Variate Longitudinal Data | 1.0.0 |
matrixLaplacian Normalized Laplacian Matrix and Laplacian Map | 1.0 |
MatrixLDA Penalized Matrix-Normal Linear Discriminant Analysis | 0.2 |
MatrixMixtures Model-Based Clustering via Matrix-Variate Mixture Models | 1.0.0 |
MatrixModels Modelling with Sparse and Dense Matrices | 0.5-3 |
matrixmodp Working with Matrices over Finite Prime Fields | 0.2.0 |
matrixNormal The Matrix Normal Distribution | 0.1.1 |
matrixProfile Matrix Profile | 0.5.0 |
matrixprofiler Matrix Profile for R | 0.1.9 |
matrixsampling Simulations of Matrix Variate Distributions | 2.0.0 |
matrixset Creating, Manipulating and Annotating Matrix Ensemble | 0.3.0 |
matrixStats Functions that Apply to Rows and Columns of Matrices (and to Vectors) | 1.4.1 |
matrixStrucTest Tests of Matrix Structure for Construct Validation | 1.0.0 |
matrixTests Fast Statistical Hypothesis Tests on Rows and Columns of Matrices | 0.2.3 |
matsbyname An Implementation of Matrix Mathematics that Respects Row and Column Names | 0.6.10 |
matsindf Matrices in Data Frames | 0.4.8 |
MatSkew Matrix Skew-T Parameter Estimation | 0.1.5 |
matuR Athlete Maturation and Biobanding | 0.0.1.0 |
mau Decision Models with Multi Attribute Utility Theory | 0.1.2 |
mauricer Work with 'BEAST2' Packages | 2.5.4 |
MAVE Methods for Dimension Reduction | 1.3.11 |
maxaltall 'FASTA' ML and ‘altall’ Sequences from IQ-TREE .state Files | 0.1.0 |
maxcombo The Group Sequential Max-Combo Test for Comparing Survival Curves | 1.0 |
maxent.ot Perform Phonological Analyses using Maximum Entropy Optimality Theory | 1.0.0 |
MaxentVariableSelection Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling | 1.0-3 |
maximin Space-Filling Design under Maximin Distance | 1.0-6 |
MaximinInfer Inference for Maximin Effects in High-Dimensional Settings | 2.0.0 |
maxLik Maximum Likelihood Estimation and Related Tools | 1.5-2.1 |
maxlike Model Species Distributions by Estimating the Probability of Occurrence Using Presence-Only Data | 0.1-11 |
maxmatching Maximum Matching for General Weighted Graph | 0.1.0 |
MaxMC Maximized Monte Carlo | 0.1.2 |
maxnet Fitting 'Maxent' Species Distribution Models with 'glmnet' | 0.1.4 |
maxnodf Approximate Maximisation of Nestedness in Bipartite Graphs | 1.0.0 |
MaxPro Maximum Projection Designs | 4.1-2 |
MaxSkew Orthogonal Data Projections with Maximal Skewness | 1.1 |
maxstablePCA Apply a PCA Like Procedure Suited for Multivariate Extreme Value Distributions | 0.1.1 |
maxstat Maximally Selected Rank Statistics | 0.7-25 |
MaxWiK Machine Learning Method Based on Isolation Kernel Mean Embedding | 1.0.5 |
maybe The Maybe Monad | 1.1.0 |
MazamaCoreUtils Utility Functions for Production R Code | 0.5.3 |
MazamaLocationUtils Manage Spatial Metadata for Known Locations | 0.4.4 |
MazamaRollUtils Efficient Rolling Functions | 0.1.3 |
MazamaSpatialPlots Thematic Plots for Mazama Spatial Datasets | 0.2.0 |
MazamaSpatialUtils Spatial Data Download and Utility Functions | 0.8.7 |
MazamaTimeSeries Core Functionality for Environmental Time Series | 0.3.0 |
MAZE Mediation Analysis for Zero-Inflated Mediators | 0.0.2 |
mazealls Generate Recursive Mazes | 0.2.0 |
mazeGen Elithorn Maze Generator | 0.1.3 |
mazeinda Monotonic Association on Zero-Inflated Data | 0.0.2 |
mazing Utilities for Making and Plotting Mazes | 1.0.5 |
MB The Use of Marginal Distributions in Conditional Forecasting | 0.1.1 |
MBA Multilevel B-Spline Approximation | 0.1-2 |
MBAnalysis Multiblock Exploratory and Predictive Data Analysis | 2.0.2 |
mbbe Model Based Bio-Equivalence | 0.1.0 |
mbbefd Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling | 0.8.12 |
MBBEFDLite Statistical Functions for the Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of Distributions | 0.0.4 |
MBC Multivariate Bias Correction of Climate Model Outputs | 0.10-7 |
MBCbook Companion Package for the Book "Model-Based Clustering and Classification for Data Science" | 0.1.2 |
mbend Matrix Bending | 1.3.1 |
MBESS The MBESS R Package | 4.9.3 |
mbest Moment-Based Estimation for Hierarchical Models | 0.6 |
MBHdesign Spatial Designs for Ecological and Environmental Surveys | 2.3.15 |
mbir Magnitude-Based Inferences | 1.3.5 |
mblm Median-Based Linear Models | 0.12.1 |
MBmca Nucleic Acid Melting Curve Analysis | 1.0.1-3 |
MBMethPred Medulloblastoma Subgroups Prediction | 0.1.4.2 |
mbmixture Microbiome Mixture Analysis | 0.6 |
MBNMAdose Dose-Response MBNMA Models | 0.4.3 |
MBNMAtime Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models | 0.2.4 |
mboost Model-Based Boosting | 2.9-11 |
mbr Mass Balance Reconstruction | 0.0.1 |
mbrdr Model-Based Response Dimension Reduction | 1.1.1 |
mbreaks Estimation and Inference for Structural Breaks in Linear Regression Models | 1.0.1 |
mbRes Exploration of Multiple Biomarker Responses using Effect Size | 0.1.7 |
mbrglm Median Bias Reduction in Binomial-Response GLMs | 0.0.1 |
MBSGS Multivariate Bayesian Sparse Group Selection with Spike and Slab | 1.1.0 |
MBSP Multivariate Bayesian Model with Shrinkage Priors | 4.0 |
mbsts Multivariate Bayesian Structural Time Series | 3.0 |
mBvs Bayesian Variable Selection Methods for Multivariate Data | 1.92 |
mc.heterogeneity A Monte Carlo Based Heterogeneity Test for Meta-Analysis | 0.1.2 |
mc2d Tools for Two-Dimensional Monte-Carlo Simulations | 0.2.1 |
MCARtest Optimal Nonparametric Testing of Missing Completely at Random | 1.2.2 |
mcauchyd Multivariate Cauchy Distribution; Kullback-Leibler Divergence | 1.3.2 |
MCAvariants Multiple Correspondence Analysis Variants | 2.6.1 |
mcb Model Confidence Bounds | 0.1.15 |
MCBackscattering Monte Carlo Simulation for Surface Backscattering | 0.1.1 |
mcbette Model Comparison Using 'babette' | 1.15.3 |
mcbiopi Matrix Computation Based Identification of Prime Implicants | 1.1.6 |
mcboost Multi-Calibration Boosting | 0.4.3 |
mcca Multi-Category Classification Accuracy | 0.7.0 |
mccca Visualizing Class Specific Heterogeneous Tendencies in Categorical Data | 1.1.0.1 |
mccf1 Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold | 1.1 |
mcclust Process an MCMC Sample of Clusterings | 1.0.1 |
MCCM Mixed Correlation Coefficient Matrix | 0.1.0 |
mccmeiv Analysis of Matched Case Control Data with a Mismeasured Exposure that is Accompanied by Instrumental Variables | 2.1 |
mccr The Matthews Correlation Coefficient | 0.4.4 |
MCDA Support for the Multicriteria Decision Aiding Process | 0.1.0 |
mcemGLM Maximum Likelihood Estimation for Generalized Linear Mixed Models | 1.1.3 |
mcen Multivariate Cluster Elastic Net | 1.2.1 |
mcga Machine Coded Genetic Algorithms for Real-Valued Optimization Problems | 3.0.7 |
mcgf Markov Chain Gaussian Fields Simulation and Parameter Estimation | 1.1.1 |
mcgibbsit Warnes and Raftery's 'MCGibbsit' MCMC Run Length and Convergence Diagnostic | 1.2.2 |
MChtest Monte Carlo Hypothesis Tests with Sequential Stopping | 1.0-3 |
MCI Multiplicative Competitive Interaction (MCI) Model | 1.3.3 |
MCID Estimating the Minimal Clinically Important Difference | 0.1.0 |
MCL Markov Cluster Algorithm | 1.0 |
mclm Mastering Corpus Linguistics Methods | 0.2.7 |
mclogit Multinomial Logit Models, with or without Random Effects or Overdispersion | 0.9.6 |
mclust Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation | 6.1.1 |
mclustAddons Addons for the 'mclust' Package | 0.9.1 |
mclustcomp Measures for Comparing Clusters | 0.3.3 |
MCM Estimating and Testing Intergenerational Social Mobility Effect | 0.1.7 |
mcmapper Mapping First Moment and C-Statistic to the Parameters of Distributions for Risk | 0.0.11 |
mcmc Markov Chain Monte Carlo | 0.9-8 |
MCMC.OTU Bayesian Analysis of Multivariate Counts Data in DNA Metabarcoding and Ecology | 1.0.10 |
MCMC.qpcr Bayesian Analysis of qRT-PCR Data | 1.2.4 |
MCMC4Extremes Posterior Distribution of Extreme Value Models in R | 1.1 |
mcmcderive Derive MCMC Parameters | 0.1.2 |
mcmcensemble Ensemble Sampler for Affine-Invariant MCMC | 3.1.0 |
MCMCglmm MCMC Generalised Linear Mixed Models | 2.36 |
mcmcOutput Functions to Store, Manipulate and Display Markov Chain Monte Carlo (MCMC) Output | 0.1.3 |
MCMCpack Markov Chain Monte Carlo (MCMC) Package | 1.7-1 |
mcmcplots Create Plots from MCMC Output | 0.4.3 |
MCMCprecision Precision of Discrete Parameters in Transdimensional MCMC | 0.4.0 |
mcmcr Manipulate MCMC Samples | 0.6.1 |
mcmcsae Markov Chain Monte Carlo Small Area Estimation | 0.7.8 |
mcmcse Monte Carlo Standard Errors for MCMC | 1.5-0 |
MCMCtreeR Prepare MCMCtree Analyses and Plot Bayesian Divergence Time Analyses Estimates on Trees | 1.1 |
MCMCvis Tools to Visualize, Manipulate, and Summarize MCMC Output | 0.16.3 |
mcMST A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem | 1.1.1 |
mcmsupply Estimating Public and Private Sector Contraceptive Market Supply Shares | 1.1.1 |
mco Multiple Criteria Optimization Algorithms and Related Functions | 1.17 |
mcODE Monte Carlo Solution of First Order Differential Equations | 1.1 |
MCOE Creates New Folders and Loads Standard Practices for Monterey County Office of Education | 0.4.0 |
Mcomp Data from the M-Competitions | 2.8 |
mcompanion Objects and Methods for Multi-Companion Matrices | 0.6 |
mcount Marginalized Count Regression Models | 1.0.0 |
mcp Regression with Multiple Change Points | 0.3.4 |
MCPAN Multiple Comparisons Using Normal Approximation | 1.1-21 |
mcparallelDo A Simplified Interface for Running Commands on Parallel Processes | 1.1.0 |
MCPMod Design and Analysis of Dose-Finding Studies | 1.0-10.1 |
MCPModBC Improved Inference in Multiple Comparison Procedure – Modelling | 1.1 |
MCPModGeneral A Supplement to the 'DoseFinding' Package for the General Case | 0.1-3 |
MCPModPack Simulation-Based Design and Analysis of Dose-Finding Trials | 0.5 |
mcprofile Testing Generalized Linear Hypotheses for Generalized Linear Model Parameters by Profile Deviance | 1.0-1 |
mcprogress Progress Bars and Messages for Parallel Processes | 0.1.1 |
MCPtests Multiples Comparisons Procedures | 1.0.1 |
mcr Method Comparison Regression | 1.3.3.1 |
mcradds Processing and Analyzing of Diagnostics Trials | 1.1.1 |
mcreplicate Multi-Core Replicate | 0.1.2 |
mcrPioda Method Comparison Regression - Mcr Fork for M- And MM-Deming Regression | 1.3.4 |
MCS Model Confidence Set Procedure | 0.1.3 |
MCSim Determine the Optimal Number of Clusters | 1.0 |
mcStats Visualize Results of Statistical Hypothesis Tests | 0.1.2 |
mcstatsim Monte Carlo Statistical Simulation Tools Using a Functional Approach | 0.5.0 |
mctest Multicollinearity Diagnostic Measures | 1.3.1 |
mctq Tools to Process the Munich ChronoType Questionnaire (MCTQ) | 0.3.2 |
MCTrend Monte Carlo Trend Analysis | 1.0.1 |
mcunit Unit Tests for MC Methods | 0.3.2 |
mcvis Multi-Collinearity Visualization | 1.0.8 |
mcwr Markov Chains with Rewards | 1.0.0 |
md Selecting Bandwidth for Kernel Density Estimator with Minimum Distance Method | 1.0.4 |
md.log Produces Markdown Log File with a Built-in Function Call | 0.2.0 |
md4r Markdown Parser Implemented using the 'MD4C' Library | 0.5.2.0 |
mda Mixture and Flexible Discriminant Analysis | 0.5-5 |
mDAG Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph | 1.2.2 |
mdatools Multivariate Data Analysis for Chemometrics | 0.14.2 |
MDBED Moran-Downton Bivariate Exponential Distribution | 1.0.0 |
mdbr Work with Microsoft Access Files | 0.2.1 |
MDDC Modified Detecting Deviating Cells Algorithm in Pharmacovigilance | 1.0.0 |
mddmaps Download World Mammal Maps | 1.3.0 |
mde Missing Data Explorer | 0.3.2 |
mded Measuring the Difference Between Two Empirical Distributions | 0.1-2 |
MDEI Implementing the Method of Direct Estimation and Inference | 1.0 |
mdendro Extended Agglomerative Hierarchical Clustering | 2.2.1 |
MDFS MultiDimensional Feature Selection | 1.5.5 |
mdftracks Read and Write 'MTrackJ Data Files' | 0.2.2 |
mdgc Missing Data Imputation Using Gaussian Copulas | 0.1.7 |
mdhglm Multivariate Double Hierarchical Generalized Linear Models | 1.8 |
MDimNormn Multi-Dimensional MA Normalization for Plate Effect | 0.8.0 |
mdir.logrank Multiple-Direction Logrank Test | 0.0.4 |
MDMA Mathijs Deen's Miscellaneous Auxiliaries | 1.1.0 |
MDMAPR Molecular Detection Mapping and Analysis Platform | 0.2.3 |
mdmb Model Based Treatment of Missing Data | 1.9-22 |
MDMR Multivariate Distance Matrix Regression | 0.5.1 |
MDOLS Inference of Quadratic Functional for Moderate-Dimensional OLS | 1.0 |
mdpeer Graph-Constrained Regression with Enhanced Regularization Parameters Selection | 1.0.1 |
MDPIexploreR Web Scraping and Bibliometric Analysis of MDPI Journals | 0.2.0 |
MDplot Visualising Molecular Dynamics Analyses | 1.0.1 |
MDPtoolbox Markov Decision Processes Toolbox | 4.0.3 |
mds Medical Devices Surveillance | 0.3.2 |
mdscore Improved Score Tests for Generalized Linear Models | 0.1-3 |
MDSMap High Density Genetic Linkage Mapping using Multidimensional Scaling | 1.1 |
mdsOpt Searching for Optimal MDS Procedure for Metric and Interval-Valued Data | 0.7-6 |
MDSPCAShiny Interactive Document for Working with Multidimensional Scaling and Principal Component Analysis | 0.1.0 |
mdsr Complement to 'Modern Data Science with R' | 0.2.8 |
MDSS Modeling Human Dentin Serial Sectioning | 1.0-1 |
mdw Maximum Diversity Weighting | 2024.8-1 |
meanr Sentiment Analysis Scorer | 0.1-6 |
meanShiftR A Computationally Efficient Mean Shift Implementation | 0.56 |
meantables Make Quick Descriptive Tables for Continuous Variables | 0.1.2 |
measr Bayesian Psychometric Measurement Using 'Stan' | 1.0.0 |
measurementProtocol Send Data from R to the Measurement Protocol | 0.1.1 |
measurements Tools for Units of Measurement | 1.5.1 |
measures Performance Measures for Statistical Learning | 0.3 |
measuRing Detection and Control of Tree-Ring Widths on Scanned Image Sections | 0.5 |
meboot Maximum Entropy Bootstrap for Time Series | 1.4-9.4 |
MECfda Scalar-on-Function Regression with Measurement Error Correction | 0.1.0 |
MEclustnet Fit the Mixture of Experts Latent Position Cluster Model to Network Data | 1.2.2 |
meconetcomp Compare Microbial Networks of 'trans_network' Class of 'microeco' Package | 0.5.1 |
mecor Measurement Error Correction in Linear Models with a Continuous Outcome | 1.0.0 |
mecoturn Decipher Microbial Turnover along a Gradient | 0.3.0 |
MED Mediation by Tilted Balancing | 0.1.0 |
medAdherence Medication Adherence: Commonly Used Definitions | 1.03 |
MedDataSets Comprehensive Medical, Disease, Treatment, and Drug Datasets | 0.1.0 |
MedDietCalc Multi Calculator to Compute Scores of Adherence to Mediterranean Diet | 0.1.1 |
mederrRank Bayesian Methods for Identifying the Most Harmful Medication Errors | 0.1.0 |
medExtractR Extraction of Medication Information from Clinical Text | 0.4.1 |
medfate Mediterranean Forest Simulation | 4.7.0 |
medfateland Mediterranean Landscape Simulation | 2.4.7 |
medflex Flexible Mediation Analysis Using Natural Effect Models | 0.6-10 |
mediacloudr Wrapper for the 'mediacloud.org' API | 0.1.0 |
MediaK Calculate MeDiA_K Distance | 1.0 |
Mediana Clinical Trial Simulations | 1.0.8 |
MedianaDesigner Power and Sample Size Calculations for Clinical Trials | 0.13 |
mediateP Mediation Analysis Based on the Product Method | 0.2.0 |
mediation Causal Mediation Analysis | 4.5.0 |
mediationsens Simulation-Based Sensitivity Analysis for Causal Mediation Studies | 0.0.3 |
medicaldata Data Package for Medical Datasets | 0.2.0 |
medicalrisk Medical Risk and Comorbidity Tools for ICD-9-CM Data | 1.3 |
medicare Tools for Obtaining and Cleaning Medicare Public Use Files | 0.2.1 |
meditations Prints a Random Quote from Marcus Aurelius' Book Meditations | 1.0.1 |
MedLEA Morphological and Structural Features of Medicinal Leaves | 1.0.2 |
medparser MedPC Text Parser | 0.1.0 |
medrxivr Access and Search MedRxiv and BioRxiv Preprint Data | 0.1.1 |
medScan Large Scale Single Mediator Hypothesis Testing | 1.0.2 |
MEDseq Mixtures of Exponential-Distance Models with Covariates | 1.4.1 |
meerva Analysis of Data with Measurement Error Using a Validation Subsample | 0.2-2 |
meetupapi Access 'Meetup' API | 0.1.0 |
mefa Multivariate Data Handling in Ecology and Biogeography | 3.2-9 |
mefa4 Multivariate Data Handling with S4 Classes and Sparse Matrices | 0.3-11 |
mefdind Imports Data from MoE Spain | 0.1 |
MEFM Perform MEFM Estimation on Matrix Time Series | 0.1.1 |
Mega2R Accessing and Processing a 'Mega2' Genetic Database | 1.1.0 |
MEGENA Multiscale Clustering of Geometrical Network | 1.3.7 |
meifly Interactive Model Exploration using 'GGobi' | 0.3.1 |
mekko Variable Width Bar Charts: Bar Mekko | 0.1.0 |
melt Multiple Empirical Likelihood Tests | 1.11.4 |
meltr Read Non-Rectangular Text Data | 1.0.2 |
meltt Matching Event Data by Location, Time and Type | 0.4.3 |
mem The Moving Epidemic Method | 2.18 |
memapp The Moving Epidemic Method Web Application | 2.16 |
meme Create Meme | 0.2.3 |
memery Internet Memes for Data Analysts | 0.6.0 |
memgene Spatial Pattern Detection in Genetic Distance Data Using Moran's Eigenvector Maps | 1.0.2 |
memify Constructing Functions That Keep State | 0.1.1 |
memisc Management of Survey Data and Presentation of Analysis Results | 0.99.31.8.1 |
memo In-Memory Caching of Repeated Computations (Memoization) | 1.1.1 |
memochange Testing for Structural Breaks under Long Memory and Testing for Changes in Persistence | 1.1.1 |
memofunc Function Memoization | 1.0.2 |
memoiR R Markdown and Bookdown Templates to Publish Documents | 1.2-10 |
memoise 'Memoisation' of Functions | 2.0.1 |
memor A 'rmarkdown' Template that Can be Highly Customized | 0.2.3 |
memoria Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series | 1.0.0 |
MEMSS Data Sets from Mixed-Effects Models in S | 0.9-3 |
memuse Memory Estimation Utilities | 4.2-3 |
MendelianRandomization Mendelian Randomization Package | 0.10.0 |
MEPDF Creation of Empirical Density Functions Based on Multivariate Data | 3.0 |
Mercator Clustering and Visualizing Distance Matrices | 1.1.5 |
merDeriv Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models | 0.2-4 |
mergedblocks Merged Block Randomization | 1.1.1 |
mergen AI-Driven Code Generation, Explanation and Execution for Data Analysis | 0.2.1 |
mergenstudio 'Mergen' Studio: An 'RStudio' Addin Wrapper for the 'Mergen' Package | 1.0 |
mergeTrees Aggregating Trees | 0.1.3 |
mergingTools Tools to Merge Hardware Event Monitors (HEMs) Coming from Separate Subexperiments into One Single Dataframe | 1.0.1 |
merlin Mixed Effects Regression for Linear, Non-Linear and User-Defined Models | 0.1.0 |
MERO Performing Monte Carlo Expectation Maximization Random Forest Imputation for Biological Data | 0.1.2 |
merror Accuracy and Precision of Measurements | 3.0 |
meshed Bayesian Regression with Meshed Gaussian Processes | 0.2.3 |
MESS Miscellaneous Esoteric Statistical Scripts | 0.5.12 |
messaging Conveniently Issue Messages, Warnings, and Errors | 0.1.0 |
messi Mediation Analysis with External Summary-Level Information on Total Effect | 0.1.1 |
messy.cats Employs String Distance Tools to Help Clean Categorical Data | 1.0 |
messydates A Flexible Class for Messy Dates | 0.4.1 |
Mestim Computes the Variance-Covariance Matrix of Multidimensional Parameters Using M-Estimation | 0.2.1 |
meta General Package for Meta-Analysis | 8.0-1 |
meta.shrinkage Meta-Analyses for Simultaneously Estimating Individual Means | 0.1.4 |
meta4diag Meta-Analysis for Diagnostic Test Studies | 2.1.1 |
MetaAnalyser An Interactive Visualisation of Meta-Analysis as a Physical Weighing Machine | 0.2.1 |
metabias Meta-Analysis for Within-Study and/or Across-Study Biases | 0.1.1 |
metaBLUE BLUE for Combining Location and Scale Information in a Meta-Analysis | 1.0.0 |
metaBMA Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis | 0.6.9 |
metaboData Example Metabolomics Data Sets | 0.6.3 |
MetabolAnalyze Probabilistic latent variable models for metabolomic data. | 1.3.1 |
metabolic Datasets and Functions for Reproducing Meta-Analyses | 0.1.2 |
MetabolicSurv A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature | 1.1.2 |
MetabolicSyndrome Diagnosis of Metabolic Syndrome | 0.1.3 |
MetabolomicsBasics Basic Functions to Investigate Metabolomics Data Matrices | 1.4.5 |
MetaboQC Normalize Metabolomic Data using QC Signal | 1.1 |
metabup Bayesian Meta-Analysis Using Basic Uncertain Pooling | 0.1.3 |
metacart Meta-CART: A Flexible Approach to Identify Moderators in Meta-Analysis | 2.0-3 |
metaCluster Metagenomic Clustering | 0.1.1 |
metacoder Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data | 0.3.7 |
metacom Analysis of the 'Elements of Metacommunity Structure' | 1.5.3 |
MetaComp EDGE Taxonomy Assignments Visualization | 1.1.2 |
metaconfoundr Visualize 'Confounder' Control in Meta-Analyses | 0.1.2 |
metaConvert An Automatic Suite for Estimation of Various Effect Size Measures | 1.0.2 |
metacore A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows | 0.1.3 |
MetaculR Analyze Metaculus Predictions and Questions | 0.4.1 |
MetaCycle Evaluate Periodicity in Large Scale Data | 1.2.0 |
metadat Meta-Analysis Datasets | 1.2-0 |
metadeconfoundR Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional Data | 1.0.2 |
metaDigitise Extract and Summarise Data from Published Figures | 1.0.1 |
metadynminer Tools to Read, Analyze and Visualize Metadynamics HILLS Files from 'Plumed' | 0.1.7 |
metadynminer3d Tools to Read, Analyze and Visualize Metadynamics 3D HILLS Files from 'Plumed' | 0.0.2 |
metaEnsembleR Automated Intuitive Package for Meta-Ensemble Learning | 0.1.0 |
metafolio Metapopulation Simulations for Conserving Salmon Through Portfolio Optimization | 0.1.2 |
metafor Meta-Analysis Package for R | 4.6-0 |
metaforest Exploring Heterogeneity in Meta-Analysis using Random Forests | 0.1.4 |
metafuse Fused Lasso Approach in Regression Coefficient Clustering | 2.0-1 |
metagam Meta-Analysis of Generalized Additive Models | 0.4.0 |
metaGE Meta-Analysis for Detecting Genotype x Environment Associations | 1.1.0 |
metagear Comprehensive Research Synthesis Tools for Systematic Reviews and Meta-Analysis | 0.7 |
metagenomeSeq | 1.46.0 |
metaggR Calculate the Knowledge-Weighted Estimate | 0.3.0 |
MetaHD A Multivariate Meta-Analysis Model for High-Dimensional Metabolomics Data | 0.1.3 |
metaHelper Transforms Statistical Measures Commonly Used for Meta-Analysis | 1.0.0 |
metaheuristicOpt Metaheuristic for Optimization | 2.0.0 |
metainc Assessment of Inconsistency in Meta-Analysis using Decision Thresholds | 0.2-0 |
MetaIntegration Ensemble Meta-Prediction Framework | 0.1.2 |
MetaIntegrator Meta-Analysis of Gene Expression Data | 2.1.3 |
metajam Easily Download Data and Metadata from 'DataONE' | 0.3.1 |
MetaLandSim Landscape and Range Expansion Simulation | 2.0.0 |
metaLik Likelihood Inference in Meta-Analysis and Meta-Regression Models | 0.43.0 |
metalite ADaM Metadata Structure | 0.1.4 |
metalite.ae Adverse Events Analysis Using 'metalite' | 0.1.3 |
metalite.table1 Interactive Table of Descriptive Statistics in HTML | 0.4.0 |
MetaLonDA Metagenomics Longitudinal Differential Abundance Method | 1.1.8 |
MetAlyzer Read and Analyze 'MetIDQ™' Software Output Files | 1.1.0 |
metaMA Meta-Analysis for MicroArrays | 3.1.3 |
metamedian Meta-Analysis of Medians | 1.1.1 |
metamer Create Data with Identical Statistics | 0.3.0 |
metamicrobiomeR Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI & Random Effects | 1.2 |
metamisc Meta-Analysis of Diagnosis and Prognosis Research Studies | 0.4.0 |
metaMix Bayesian Mixture Analysis for Metagenomic Community Profiling | 0.3 |
metan Multi Environment Trials Analysis | 1.19.0 |
MetaNet Network Analysis for Omics Data | 0.1.2 |
metanetwork Handling and Representing Trophic Networks in Space and Time | 0.7.0 |
MetaNLP Natural Language Processing for Meta Analysis | 0.1.3 |
metansue Meta-Analysis of Studies with Non-Statistically Significant Unreported Effects | 2.6 |
metap Meta-Analysis of Significance Values | 1.11 |
metapack Bayesian Meta-Analysis and Network Meta-Analysis | 0.3 |
metaplot Data-Driven Plot Design | 0.8.4 |
metaplus Robust Meta-Analysis and Meta-Regression | 1.0-5 |
metapod | 1.14.0 |
metapost Interface to 'MetaPost' | 1.0-6 |
metapower Power Analysis for Meta-Analysis | 0.2.2 |
metapro Robust P-Value Combination Methods | 1.5.11 |
metaprotr Metaproteomics Post-Processing Analysis | 1.2.2 |
metaRange Framework to Build Mechanistic and Metabolic Constrained Species Distribution Models | 1.1.4 |
metarep Replicability-Analysis Tools for Meta-Analysis | 1.2.0 |
metaRNASeq Meta-Analysis of RNA-Seq Data | 1.0.7 |
metaSDTreg Regression Models for Meta Signal Detection Theory | 0.2.2 |
metaSEM Meta-Analysis using Structural Equation Modeling | 1.5.0 |
metasens Statistical Methods for Sensitivity Analysis in Meta-Analysis | 1.5-2 |
MetaSKAT Meta Analysis for SNP-Set (Sequence) Kernel Association Test | 0.90 |
metasnf Meta Clustering with Similarity Network Fusion | 1.1.2 |
MetaStan Bayesian Meta-Analysis via 'Stan' | 1.0.0 |
MetaSubtract Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results | 1.60 |
metaSurvival Meta-Analysis of a Single Survival Curve | 0.1.0 |
metatest Fit and Test Metaregression Models | 1.0-5 |
metathis HTML Metadata Tags for 'R Markdown' and 'Shiny' | 1.1.4 |
metatools Enable the Use of 'metacore' to Help Create and Check Dataset | 0.1.6 |
metaumbrella Umbrella Review Package for R | 1.0.11 |
MetaUtility Utility Functions for Conducting and Interpreting Meta-Analyses | 2.1.2 |
metavcov Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta-Analysis | 2.1.5 |
metaviz Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for Meta-Analysis | 0.3.1 |
metawho Meta-Analytical Implementation to Identify Who Benefits Most from Treatments | 0.2.0 |
MetBrewer Color Palettes Inspired by Works at the Metropolitan Museum of Art | 0.2.0 |
MetChem Chemical Structural Similarity Analysis | 0.4 |
meteo RFSI & STRK Interpolation for Meteo and Environmental Variables | 2.0-3 |
meteoEVT Computation and Visualization of Energetic and Vortical Atmospheric Quantities | 0.1.0 |
meteoForecast Numerical Weather Predictions | 0.56 |
meteoland Landscape Meteorology Tools | 2.2.2 |
meteor Meteorological Data Manipulation | 0.4-5 |
meteorits Mixture-of-Experts Modeling for Complex Non-Normal Distributions | 0.1.1 |
meteospain Access to Spanish Meteorological Stations Services | 0.2.0 |
meteR Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE) | 1.2 |
metevalue E-Value in the Omics Data Association Studies | 0.2.4 |
MetGen Stochastic Weather Generator | 0.5 |
MethComp Analysis of Agreement in Method Comparison Studies | 1.30.2 |
methcon5 Identify and Rank CpG DNA Methylation Conservation Along the Human Genome | 0.1.0 |
MethEvolSIM Simulate DNA Methylation Dynamics on Different Genomic Structures along Genealogies | 0.1.7 |
MethodCompare Evaluating Bias and Precision in Method Comparison Studies | 1.0.0 |
MethodOpt Advanced Method Optimization for Spectra-Generating Sampling and Analysis Instrumentation | 1.0.0 |
methods | 4.4.2 |
MeTo Meteorological Tools | 0.1.1 |
metools Macroeconomics Tools | 1.0.0 |
MetProc Separate Metabolites into Likely Measurement Artifacts and True Metabolites | 1.0.1 |
metR Tools for Easier Analysis of Meteorological Fields | 0.16.0 |
metrica Prediction Performance Metrics | 2.1.0 |
MetricGraph Random Fields on Metric Graphs | 1.4.0 |
metricminer Mine Metrics from Common Places on the Web | 0.5.1 |
Metrics Evaluation Metrics for Machine Learning | 0.1.4 |
metricsgraphics Create Interactive Charts with the JavaScript 'MetricsGraphics' Library | 0.9.0 |
MetricsWeighted Weighted Metrics and Performance Measures for Machine Learning | 1.0.3 |
metrix Water Quality Metrics Calculator | 1.1.0 |
metro Washington Metropolitan Area Transit Authority API | 0.9.3 |
metRology Support for Metrological Applications | 0.9-28-1 |
metropolis The Metropolis Algorithm | 0.1.8 |
mets Analysis of Multivariate Event Times | 1.3.4 |
MetSizeR A Shiny App for Sample Size Estimation in Metabolomic Experiments | 2.0.0 |
metsyn Interface with the Meteo France Synop Data API | 0.1.2 |
mev Modelling of Extreme Values | 1.17 |
mevr Fitting the Metastatistical Extreme Value Distribution MEVD | 1.1.1 |
mewAvg A Fixed Memeory Moving Expanding Window Average | 0.3.1 |
MexBrewer Color Palettes Inspired by Works of Mexican Painters and Muralists | 0.0.2 |
mexhaz Mixed Effect Excess Hazard Models | 2.6 |
mexicolors Mexican Politics-Inspired Color Palette Generator | 0.2.0 |
mExplorer Identifying Master Gene Regulators from Gene Expression and DNA-Binding Data | 1.0.0 |
MF.beta4 Measuring Ecosystem Multi-Functionality and Its Decomposition | 1.1.1 |
mfaces Fast Covariance Estimation for Multivariate Sparse Functional Data | 0.1-4 |
MFAg Multiple Factor Analysis (MFA) | 2.0 |
mFD Compute and Illustrate the Multiple Facets of Functional Diversity | 1.0.7 |
mfdb MareFrame DB Querying Library | 7.3-1 |
MFDFA MultiFractal Detrended Fluctuation Analysis | 1.1 |
mFDP Flexible Control of the mFDP | 0.1.0 |
mfGARCH Mixed-Frequency GARCH Models | 0.2.1 |
mFilter Miscellaneous Time Series Filters | 0.1-5 |
mFLICA Leadership-Inference Framework for Multivariate Time Series | 0.1.6 |
MFO Maximal Fat Oxidation and Kinetics Calculation | 0.1.0 |
mfp Multivariable Fractional Polynomials | 1.5.4.1 |
mfp2 Multivariable Fractional Polynomial Models with Extensions | 1.0.0 |
MFPCA Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains | 1.3-10 |
mfpp 'Matrix-Based Flexible Project Planning' | 0.0.8 |
MFSIS Model-Free Sure Independent Screening Procedures | 0.2.1 |
MFT The Multiple Filter Test for Change Point Detection | 2.0 |
MfUSampler Multivariate-from-Univariate (MfU) MCMC Sampler | 1.1.0 |
Mfuzz | 2.66.0 |
mfx Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs | 1.2-2 |
MG1StationaryProbability Computes Stationary Distribution for M/G/1 Queuing System | 0.1.2 |
mgarchBEKK Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR) Processes | 0.0.5 |
MGBT Multiple Grubbs-Beck Low-Outlier Test | 1.0.7 |
mgc Multiscale Graph Correlation | 2.0.2 |
mgcv Mixed GAM Computation Vehicle with Automatic Smoothness Estimation | 1.9-1 |
mgcViz Visualisations for Generalized Additive Models | 0.1.11 |
MGDrivE Mosquito Gene Drive Explorer | 1.6.0 |
MGDrivE2 Mosquito Gene Drive Explorer 2 | 2.1.0 |
mgee2 Marginal Analysis of Misclassified Longitudinal Ordinal Data | 0.6 |
mggd Multivariate Generalised Gaussian Distribution; Kullback-Leibler Divergence | 1.3.1 |
mgi.report.reader Read Mouse Genome Informatics Reports | 0.1.3 |
MGL Module Graphical Lasso | 1.1 |
mglasso Multiscale Graphical Lasso | 0.1.2 |
MGLM Multivariate Response Generalized Linear Models | 0.2.1 |
mglmn Model Averaging for Multivariate GLM with Null Models | 0.1.0 |
mgm Estimating Time-Varying k-Order Mixed Graphical Models | 1.2-14 |
MGMM Missingness Aware Gaussian Mixture Models | 1.0.1.1 |
MGMS2 'MGMS2' for Polymicrobial Samples | 1.0.2 |
MGPSDK Interact with the Maxar 'MGP' Application Programming Interfaces | 1.0.0 |
mgpStreamingSDK Interact with the Maxar MGP Streaming API | 0.2.0 |
MGSDA Multi-Group Sparse Discriminant Analysis | 1.6.1 |
mgss A Matrix-Free Multigrid Preconditioner for Spline Smoothing | 1.2 |
mgsub Safe, Multiple, Simultaneous String Substitution | 1.7.3 |
mgwnbr Multiscale Geographically Weighted Negative Binomial Regression | 0.2.0 |
mgwrhw Displays GWR (Geographically Weighted Regression) and Mixed GWR Output and Map | 1.1.1.5 |
mgwrsar GWR and MGWR with Spatial Autocorrelation | 1.0.5 |
mhazard Nonparametric and Semiparametric Methods for Multivariate Failure Time Data | 0.2.3 |
mhcnuggetsr Call MHCnuggets | 1.1 |
MHCtools Analysis of MHC Data in Non-Model Species | 1.5.3 |
MHD Metric Halfspace Depth | 0.1.2 |
MHDA Massive Hierarchically Data Analysis | 1.4 |
mHG Minimum-Hypergeometric Test | 1.1 |
mHMMbayes Multilevel Hidden Markov Models Using Bayesian Estimation | 1.1.0 |
Mhorseshoe Approximate Algorithm for Horseshoe Prior | 0.1.3 |
mhsmm Inference for Hidden Markov and Semi-Markov Models | 0.4.21 |
mhtboot Multiple Hypothesis Test Based on Distribution of p Values | 1.3.3 |
MHTdiscrete Multiple Hypotheses Testing for Discrete Data | 1.0.1 |
MHTmult Multiple Hypotheses Testing for Multiple Families/Groups Structure | 0.1.0 |
MHTrajectoryR Bayesian Model Selection in Logistic Regression for the Detection of Adverse Drug Reactions | 1.0.1 |
mhurdle Multiple Hurdle Tobit Models | 1.3-1 |
mi Missing Data Imputation and Model Checking | 1.1 |
mi4p Multiple Imputation for Proteomics | 1.2 |
MIAmaxent A Modular, Integrated Approach to Maximum Entropy Distribution Modeling | 1.3.1 |
micar 'Mica' Data Web Portal Client | 1.1.2 |
micd Multiple Imputation in Causal Graph Discovery | 1.1.1 |
mice Multivariate Imputation by Chained Equations | 3.17.0 |
miceadds Some Additional Multiple Imputation Functions, Especially for 'mice' | 3.17-44 |
miceafter Data and Statistical Analyses after Multiple Imputation | 0.5.0 |
micEcon Microeconomic Analysis and Modelling | 0.6-18 |
micEconAids Demand Analysis with the Almost Ideal Demand System (AIDS) | 0.6-20 |
micEconCES Analysis with the Constant Elasticity of Substitution (CES) Function | 1.0-2 |
micEconDistRay Econometric Production Analysis with Ray-Based Distance Functions | 0.1-2 |
micEconIndex Price and Quantity Indices | 0.1-8 |
micEconSNQP Symmetric Normalized Quadratic Profit Function | 0.6-10 |
miceFast Fast Imputations Using 'Rcpp' and 'Armadillo' | 0.8.2 |
micemd Multiple Imputation by Chained Equations with Multilevel Data | 1.10.0 |
miceRanger Multiple Imputation by Chained Equations with Random Forests | 1.5.0 |
michelRodange The Works (in Luxembourguish) of Michel Rodange | 1.0.0 |
miclust Multiple Imputation in Cluster Analysis | 1.2.8 |
micompr Multivariate Independent Comparison of Observations | 1.1.4 |
miCoPTCM Promotion Time Cure Model with Mis-Measured Covariates | 1.1 |
microbats An Implementation of Bat Algorithm in R | 0.1-1 |
microbenchmark Accurate Timing Functions | 1.5.0 |
microbial Do 16s Data Analysis and Generate Figures | 0.0.21 |
microbiome | 1.28.0 |
microbiomeMQC Calculate 4 Key Reporting Measures | 1.0.2 |
MicrobiomeStat Statistical Methods for Microbiome Compositional Data | 1.2 |
MicrobiomeSurv Biomarker Validation for Microbiome-Based Survival Classification and Prediction | 0.1.0 |
microclass Methods for Taxonomic Classification of Prokaryotes | 1.2 |
microcontax The ConTax Data Package | 1.2 |
microCRAN Hosting an Independent CRAN Repository | 0.9.0-1 |
microdatasus Download and Process 'DataSUS' Files | 2.3.1 |
MicroDatosEs Utilities for Official Spanish Microdata | 0.8.15 |
microdiluteR Analysis of Broth Microdilution Assays | 1.0.1 |
microeco Microbial Community Ecology Data Analysis | 1.11.0 |
microhaplot Microhaplotype Constructor and Visualizer | 1.0.1 |
microinverterdata Collect your Microinverter Data | 0.2.0 |
MicroMacroMultilevel Micro-Macro Multilevel Modeling | 0.4.0 |
micromap Linked Micromap Plots | 1.9.10 |
micromapST Linked Micromap Plots for U. S. and Other Geographic Areas | 3.0.4 |
MicroMoB Discrete Time Simulation of Mosquito-Borne Pathogen Transmission | 0.1.2 |
micromodal Create Simple and Elegant Modal Dialogs in 'shiny' | 1.0.0 |
MicroNiche Microbial Niche Measurements | 1.0.0 |
micronutr Determining Vitamin and Mineral Status of Populations | 0.1.1 |
micropan Microbial Pan-Genome Analysis | 2.1 |
microplot Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel' | 1.0-45 |
microPop Process-Based Modelling of Microbial Populations | 1.6 |
MicroSEC Sequence Error Filter for Formalin-Fixed and Paraffin-Embedded Samples | 2.1.6 |
microseq Basic Biological Sequence Handling | 2.1.6 |
microsimulation Discrete Event Simulation in R and C++, with Tools for Cost-Effectiveness Analysis | 1.4.4 |
Microsoft365R Interface to the 'Microsoft 365' Suite of Cloud Services | 2.4.0 |
microsynth Synthetic Control Methods with Micro- And Meso-Level Data | 2.0.44 |
MicSim Performing Continuous-Time Microsimulation | 2.0.1 |
MICsplines The Computing of Monotonic Spline Bases and Constrained Least-Squares Estimates | 1.0 |
micsr Microeconometrics with R | 0.1-1 |
micss Modified Iterative Cumulative Sum of Squares Algorithm | 0.2.0 |
MiDA Microarray Data Analysis | 0.1.2 |
midas Turn HTML 'Shiny' | 1.0.1 |
midas2 Bayesian Platform Design with Subgroup Efficacy Exploration(MIDAS-2) | 1.1.0 |
midasml Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data | 0.1.10 |
midasr Mixed Data Sampling Regression | 0.8 |
midastouch Multiple Imputation by Distance Aided Donor Selection | 1.3 |
midfieldr Tools and Methods for Working with MIDFIELD Data in 'R' | 1.0.2 |
midi Microstructure Information from Diffusion Imaging | 0.1.0 |
MIDN Nearly Exact Sample Size Calculation for Exact Powerful Nonrandomized Tests for Differences Between Binomial Proportions | 1.0 |
midoc A Decision-Making System for Multiple Imputation | 1.0.0 |
midrangeMCP Multiples Comparisons Procedures Based on Studentized Midrange and Range Distributions | 3.1.1 |
miesmuschel Mixed Integer Evolution Strategies | 0.0.4-2 |
mifa Multiple Imputation for Exploratory Factor Analysis | 0.2.0 |
mig Multivariate Inverse Gaussian Distribution | 1.0 |
MigConnectivity Estimate Migratory Connectivity for Migratory Animals | 0.4.7 |
migest Methods for the Indirect Estimation of Bilateral Migration | 2.0.4 |
migraph Univariate and Multivariate Tests for Multimodal and Other Networks | 1.4.5 |
migrate Create Credit State Migration (Transition) Matrices | 0.5.0 |
migration.indices Migration Indices | 0.3.1 |
MigrationDetectR Segment-Based Migration Detection Algorithm | 0.1.1 |
migui Graphical User Interface to the 'mi' Package | 1.3 |
miic Learning Causal or Non-Causal Graphical Models Using Information Theory | 2.0.3 |
MIIPW IPW and Mean Score Methods for Time-Course Missing Data | 0.1.1 |
MIIVefa Exploratory Factor Analysis Using Model Implied Instrumental Variables | 0.1.2 |
MIIVsem Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models | 0.5.8 |
mikropml User-Friendly R Package for Supervised Machine Learning Pipelines | 1.6.1 |
miLAG Calculates Microbial Lag Duration (on the Population Level) from Provided Growth Curve Data | 1.0.4 |
mildsvm Multiple-Instance Learning with Support Vector Machines | 0.4.0 |
miLineage Association Tests for Microbial Lineages on a Taxonomic Tree | 2.1 |
milorGWAS Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS) | 0.7 |
milr Multiple-Instance Logistic Regression with LASSO Penalty | 0.3.1 |
mimdo Multivariate Imputation by Mahalanobis Distance Optimization | 0.1.0 |
mime Map Filenames to MIME Types | 0.12 |
MIMER Data Wrangling for Antimicrobial Resistance Studies | 1.0.3 |
mimi Main Effects and Interactions in Mixed and Incomplete Data | 0.2.0 |
MiMIR Metabolomics-Based Models for Imputing Risk | 1.5 |
mimiSBM Mixture of Multilayer Integrator Stochastic Block Models | 0.0.1.3 |
MIMSunit Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit) | 0.11.2 |
mimsy Calculate MIMS Dissolved Gas Concentrations Without Getting a Headache | 0.6.5 |
minb Multiple-Inflated Negative Binomial Model | 0.1.0 |
mind Multivariate Model Based Inference for Domains | 1.1.0 |
MindOnStats Data sets included in Utts and Heckard's Mind on Statistics | 0.11 |
mineCitrus Extract and Analyze Median Molecule Intensity from 'citrus' Output | 1.0.0 |
mined Minimum Energy Designs | 1.0-3 |
MinEDfind A Bayesian Design for Minimum Effective Dosing-Finding Trial | 0.1.3 |
minerva Maximal Information-Based Nonparametric Exploration for Variable Analysis | 1.5.10 |
minesweeper Play Minesweeper | 1.0.1 |
mineSweepR Mine Sweeper Game | 0.1.1 |
minet Mutual Information NETworks | 3.64.0 |
minFactorial All Possible Minimally Changed Factorial Run Orders | 0.1.0 |
minfi | 1.52.1 |
minic Minimization Methods for Ill-Conditioned Problems | 1.0.1 |
miniCRAN Create a Mini Version of CRAN Containing Only Selected Packages | 0.3.0 |
minidown Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks | 0.4.0 |
miniGUI Tcl/Tk Quick and Simple Function GUI | 0.8-1 |
miniLNM Miniature Logistic-Normal Multinomial Models | 0.1.0 |
minimalRSD Minimally Changed CCD and BBD | 1.0.0 |
minimap Create Tile Grid Maps | 0.1.0 |
minimapR Wrapper for 'minimap2' | 0.0.1.0 |
minimax The Minimax Distribution Family | 1.1.1 |
minimaxApprox Implementation of Remez Algorithm for Polynomial and Rational Function Approximation | 0.4.3 |
miniMeta Web Application to Run Meta-Analyses | 0.3.2 |
minioclient Interface to the 'MinIO' Client | 0.0.6 |
miniPCH Survival Distributions with Piece-Wise Constant Hazards | 0.4.0 |
Minirand Minimization Randomization | 0.1.3 |
minired R Interface to 'Redatam' Library | 1.0.1 |
miniUI Shiny UI Widgets for Small Screens | 0.1.1.1 |
minMSE Implementation of the minMSE Treatment Assignment Method for One or Multiple Treatment Groups | 0.5.1 |
minpack.lm R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds | 1.2-4 |
minqa Derivative-Free Optimization Algorithms by Quadratic Approximation | 1.2.8 |
minque Various Linear Mixed Model Analyses | 2.0.0 |
minsample1 The Minimum Sample Size | 0.1.0 |
minsample2 The Minimum Sample Size | 0.1.0 |
minSNPs Resolution-Optimised SNPs Searcher | 0.2.0 |
MINTplates Encode "License-Plates" from Sequences and Decode Them Back | 1.0.1 |
minty Minimal Type Guesser | 0.0.4 |
mipfp Multidimensional Iterative Proportional Fitting and Alternative Models | 3.2.1 |
mipplot An Open-Source Tool for Visualization of Climate Mitigation Scenarios | 0.3.1 |
mirai Minimalist Async Evaluation Framework for R | 1.3.1 |
mirai.promises Make 'Mirai' 'Promises' | 0.5.0 |
miRecSurv Left-Censored Recurrent Events Survival Models | 1.0.2 |
MIRES Measurement Invariance Assessment Using Random Effects Models and Shrinkage | 0.1.0 |
miRetrieve miRNA Text Mining in Abstracts | 1.3.4 |
MiRKAT Microbiome Regression-Based Kernel Association Tests | 1.2.3 |
MiRNAQCD Micro-RNA Quality Control and Diagnosis | 1.1.3 |
miRNAss Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples | 1.5 |
mirrorselect Test CRAN/Bioconductor Mirror Speed | 0.0.3 |
MiRSEA 'MicroRNA' Set Enrichment Analysis | 1.1.1 |
mirt Multidimensional Item Response Theory | 1.43 |
mirtCAT Computerized Adaptive Testing with Multidimensional Item Response Theory | 1.14 |
miRtest Combined miRNA- And mRNA-Testing | 2.1 |
mirtjml Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis | 1.4.0 |
mirtsvd SVD-Based Estimation for Exploratory Item Factor Analysis | 1.0 |
misaem Linear Regression and Logistic Regression with Missing Covariates | 1.0.1 |
misc3d Miscellaneous 3D Plots | 0.9-1 |
miscF Miscellaneous Functions | 0.1-5 |
miscFuncs Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering, QQplots with Simulation-Based Confidence Intervals, Linear Regression Diagnostics and Development Tools | 1.5-10 |
miscIC Misclassified Interval Censored Time-to-Event Data | 0.1.0 |
misclassGLM Computation of Generalized Linear Models with Misclassified Covariates Using Side Information | 0.3.5 |
MiscMetabar Miscellaneous Functions for Metabarcoding Analysis | 0.10.1 |
miscset Miscellaneous Tools Set | 1.1.0 |
miscTools Miscellaneous Tools and Utilities | 0.6-28 |
miselect Variable Selection for Multiply Imputed Data | 0.9.2 |
mispitools Missing Person Identification Tools | 1.2.0 |
mispr Multiple Imputation with Sequential Penalized Regression | 1.0.0 |
misPRIME Partial Replacement Imputation Estimation for Missing Covariates | 0.1.0 |
MiSPU Microbiome Based Sum of Powered Score (MiSPU) Tests | 1.0 |
MisRepARMA Misreported Time Series Analysis | 0.0.2 |
missCforest Ensemble Conditional Trees for Missing Data Imputation | 0.0.8 |
missCompare Intuitive Missing Data Imputation Framework | 1.0.3 |
MissCP Change Point Detection with Missing Values | 0.1.0 |
missDeaths Simulating and Analyzing Time to Event Data in the Presence of Population Mortality | 2.8 |
missDiag Comparing Observed and Imputed Values under MAR and MCAR | 1.0.1 |
missForest Nonparametric Missing Value Imputation using Random Forest | 1.5 |
missForestPredict Missing Value Imputation using Random Forest for Prediction Settings | 1.0 |
MissingHandle Handles Missing Dates and Data and Converts into Weekly and Monthly from Daily | 0.1.1 |
missingHE Missing Outcome Data in Health Economic Evaluation | 1.5.0 |
MissingPlotLSD Missing Plot in LSD | 0.1.0 |
MissingPlotRBD Missing Plot in RBD | 1.1.0 |
missMDA Handling Missing Values with Multivariate Data Analysis | 1.19 |
MissMech Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random | 1.0.4 |
missMethods Methods for Missing Data | 0.4.0 |
missoNet Missingness in Multi-Task Regression with Network Estimation | 1.2.0 |
misspi Missing Value Imputation in Parallel | 0.1.0 |
Missplot Missing Plot Technique in Design of Experiment | 0.1.0 |
missRanger Fast Imputation of Missing Values | 2.6.1 |
missSBM Handling Missing Data in Stochastic Block Models | 1.0.4 |
missSOM Self-Organizing Maps with Built-in Missing Data Imputation | 1.0.1 |
mistr Mixture and Composite Distributions | 0.0.6 |
mistral Methods in Structural Reliability | 2.2.2 |
misty Miscellaneous Functions 'T. Yanagida' | 0.6.8 |
misuvi Access the Michigan Substance Use Vulnerability Index (MI-SUVI) | 0.1.0 |
mitml Tools for Multiple Imputation in Multilevel Modeling | 0.4-5 |
MitoHEAR Quantification of Mitochondrial DNA Heteroplasmy | 0.1.0 |
mitools Tools for Multiple Imputation of Missing Data | 2.4 |
mitre Cybersecurity MITRE Standards Data and Digraphs | 1.0.0 |
MittagLeffleR Mittag-Leffler Family of Distributions | 0.4.1 |
miWQS Multiple Imputation Using Weighted Quantile Sum Regression | 0.4.4 |
mix Estimation/Multiple Imputation for Mixed Categorical and Continuous Data | 1.0-13 |
mixAK Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering | 5.8 |
MixAll Clustering and Classification using Model-Based Mixture Models | 1.5.16 |
mixAR Mixture Autoregressive Models | 0.22.8 |
mixbox Observed Fisher Information Matrix for Finite Mixture Model | 1.2.3 |
mixcat Mixed Effects Cumulative Link and Logistic Regression Models | 1.0-4 |
mixchar Mixture Model for the Deconvolution of Thermal Decay Curves | 0.1.0 |
mixcure Mixture Cure Models | 2.0 |
mixdir Cluster High Dimensional Categorical Datasets | 0.3.0 |
mixdist Finite Mixture Distribution Models | 0.5-5 |
mixedBayes Bayesian Longitudinal Regularized Quantile Mixed Model | 0.1.3 |
mixedCCA Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data | 1.6.2 |
MixedIndTests Tests of Randomness and Tests of Independence | 1.2.0 |
MixedLevelRSDs Mixed Level Response Surface Designs | 1.0.0 |
mixedLSR Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data | 0.1.0 |
mixedMem Tools for Discrete Multivariate Mixed Membership Models | 1.1.2 |
MixedPoisson Mixed Poisson Models | 2.0 |
MixedPsy Statistical Tools for the Analysis of Psychophysical Data | 1.1.0 |
mixedsde Estimation Methods for Stochastic Differential Mixed Effects Models | 5.0 |
MixedTS Mixed Tempered Stable Distribution | 1.0.4 |
mixexp Design and Analysis of Mixture Experiments | 1.2.7.1 |
MIXFIM Evaluation of the FIM in NLMEMs using MCMC | 1.1 |
MixfMRI Mixture fMRI Clustering Analysis | 0.1-4 |
mixgb Multiple Imputation Through 'XGBoost' | 1.5.2 |
MixGHD Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions | 2.3.7 |
mixhvg Mixture of Multiple Highly Variable Feature Selection Methods | 1.0.1 |
mixIndependR Genetics and Independence Testing of Mixed Genetic Panels | 1.0.0 |
mixKernel Omics Data Integration Using Kernel Methods | 0.9-1 |
mixl Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets | 1.3.4 |
MixLFA Mixture of Longitudinal Factor Analysis Methods | 1.0.0 |
mixlm Mixed Model ANOVA and Statistics for Education | 1.4.0 |
MixMatrix Classification with Matrix Variate Normal and t Distributions | 0.2.8 |
mixmeta An Extended Mixed-Effects Framework for Meta-Analysis | 1.2.0 |
mixOmics Omics Data Integration Project | 6.30.0 |
mixOofA Design and Analysis of Order-of-Addition Mixture Experiments | 1.0 |
mixopt Mixed Variable Optimization | 0.1.3 |
MixOptim Mixture Optimization Algorithm | 0.1.2 |
mixPHM Mixtures of Proportional Hazard Models | 0.7-2 |
mixpoissonreg Mixed Poisson Regression for Overdispersed Count Data | 1.0.0 |
mixR Finite Mixture Modeling for Raw and Binned Data | 0.2.1 |
mixRaschTools Plotting and Average Theta Functions for Multiple Class Mixed Rasch Models | 1.1.1 |
MixRF A Random-Forest-Based Approach for Imputing Clustered Incomplete Data | 1.0 |
MixSAL Mixtures of Multivariate Shifted Asymmetric Laplace (SAL) Distributions | 1.0 |
MixSemiRob Mixture Models: Parametric, Semiparametric, and Robust | 1.1.0 |
MixSIAR Bayesian Mixing Models in R | 3.1.12 |
MixSim Simulating Data to Study Performance of Clustering Algorithms | 1.1-8 |
mixsmsn Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions | 1.1-10 |
mixSPE Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification | 0.9.2 |
mixsqp Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions | 0.3-54 |
mixSSG Clustering Using Mixtures of Sub Gaussian Stable Distributions | 2.1.1 |
mixtools Tools for Analyzing Finite Mixture Models | 2.0.0 |
mixtox Dose Response Curve Fitting and Mixture Toxicity Assessment | 1.4.0 |
mixtur Modelling Continuous Report Visual Short-Term Memory Studies | 1.2.1 |
mixture Mixture Models for Clustering and Classification | 2.1.1 |
MixtureMissing Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random | 3.0.3 |
MixTwice Large-Scale Hypothesis Testing by Variance Mixing | 2.0 |
MixviR Analysis and Exploration of Mixed Microbial Genomic Samples | 3.5.0 |
mixvlmc Variable Length Markov Chains with Covariates | 0.2.1 |
mize Unconstrained Numerical Optimization Algorithms | 0.2.4 |
mizer Dynamic Multi-Species Size Spectrum Modelling | 2.5.3 |
MJMbamlss Multivariate Joint Models with 'bamlss' | 0.1.0 |
MKclass Statistical Classification | 0.5 |
mkde 2D and 3D Movement-Based Kernel Density Estimates (MKDEs) | 0.4 |
MKdescr Descriptive Statistics | 0.8 |
MKendall Matrix Kendall's Tau and Matrix Elliptical Factor Model | 1.5-4 |
mkin Kinetic Evaluation of Chemical Degradation Data | 1.2.6 |
MKinfer Inferential Statistics | 1.2 |
MKLE Maximum Kernel Likelihood Estimation | 1.0.1 |
MKMeans A Modern K-Means (MKMeans) Clustering Algorithm | 3.1 |
MKmisc Miscellaneous Functions from M. Kohl | 1.9 |
mknapsack Multiple Knapsack Problem Solver | 0.1.0 |
MKomics Omics Data Analysis | 0.7 |
MKpower Power Analysis and Sample Size Calculation | 1.0 |
mkssd Efficient Multi-Level k-Circulant Supersaturated Designs | 1.2 |
ML.MSBD Maximum Likelihood Inference on Multi-State Trees | 1.2.1 |
ML2Pvae Variational Autoencoder Models for IRT Parameter Estimation | 1.0.0.1 |
mlapi Abstract Classes for Building 'scikit-learn' Like API | 0.1.1 |
mlbench Machine Learning Benchmark Problems | 2.1-5 |
mlbplotR Create 'ggplot2' and 'gt' Visuals with Major League Baseball Logos | 1.1.0 |
mlbstats Major League Baseball Player Statistics Calculator | 0.1.0 |
MLCIRTwithin Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality | 2.1.1 |
MLCM Maximum Likelihood Conjoint Measurement | 0.4.3 |
MLCOPULA Classification Models with Copula Functions | 1.0.1 |
MLDataR Collection of Machine Learning Datasets for Supervised Machine Learning | 1.0.1 |
mldr Exploratory Data Analysis and Manipulation of Multi-Label Data Sets | 0.4.3 |
mldr.datasets R Ultimate Multilabel Dataset Repository | 0.4.2 |
mldr.resampling Resampling Algorithms for Multi-Label Datasets | 0.2.3 |
MLDS Maximum Likelihood Difference Scaling | 0.5.1 |
MLE Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions | 1.2 |
mle.tools Expected/Observed Fisher Information and Bias-Corrected Maximum Likelihood Estimate(s) | 1.0.0 |
mlearning Machine Learning Algorithms with Unified Interface and Confusion Matrices | 1.2.1 |
MLEce Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions | 2.1.0 |
MLEcens Computation of the MLE for Bivariate Interval Censored Data | 0.1-7.1 |
mlegp Maximum Likelihood Estimates of Gaussian Processes | 3.1.9 |
mlelod MLE for Normally Distributed Data Censored by Limit of Detection | 1.0.0.1 |
mlergm Multilevel Exponential-Family Random Graph Models | 0.8 |
MLeval Machine Learning Model Evaluation | 0.3 |
mlexperiments Machine Learning Experiments | 0.0.4 |
mlf Machine Learning Foundations | 1.2.1 |
mlfit Iterative Proportional Fitting Algorithms for Nested Structures | 0.5.3 |
mlflow Interface to 'MLflow' | 2.18.0 |
MLFS Machine Learning Forest Simulator | 0.4.2 |
MLGdata Datasets for Use with Salvan, Sartori and Pace (2020) | 0.1.0 |
MLGL Multi-Layer Group-Lasso | 1.0.0 |
MLID Multilevel Index of Dissimilarity | 1.0.1 |
mlim Single and Multiple Imputation with Automated Machine Learning | 0.3.0 |
MLInterfaces | 1.86.0 |
mllrnrs R6-Based ML Learners for 'mlexperiments' | 0.0.4 |
mlma Multilevel Mediation Analysis | 6.3-1 |
mlmc Multi-Level Monte Carlo | 2.1.1 |
MLmetrics Machine Learning Evaluation Metrics | 1.1.3 |
mlmhelpr Multilevel/Mixed Model Helper Functions | 0.1.1 |
mlmi Maximum Likelihood Multiple Imputation | 1.1.2 |
MLML2R Maximum Likelihood Estimation of DNA Methylation and Hydroxymethylation Proportions | 0.3.3 |
mlmm.gwas Pipeline for GWAS Using MLMM | 1.0.6 |
MLModelSelection Model Selection in Multivariate Longitudinal Data Analysis | 1.0 |
MLMOI Estimating Frequencies, Prevalence and Multiplicity of Infection | 0.1.2 |
mlmpower Power Analysis and Data Simulation for Multilevel Models | 1.0.9 |
mlmRev Examples from Multilevel Modelling Software Review | 1.0-8 |
mlms Multilevel Monitoring System Data for Wells in the USGS INL Aquifer Monitoring Network | 1.0.2 |
mlmtools Multi-Level Model Assessment Kit | 1.0.2 |
mlmts Machine Learning Algorithms for Multivariate Time Series | 1.1.2 |
MLMusingR Practical Multilevel Modeling | 0.3.2 |
mlogit Multinomial Logit Models | 1.1-1 |
mlogitBMA Bayesian Model Averaging for Multinomial Logit Models | 0.1-9 |
mlpack 'Rcpp' Integration for the 'mlpack' Library | 4.5.1 |
MLpreemption Maximum Likelihood Estimation of the Niche Preemption Model | 1.0.1 |
MLPUGS Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains) | 0.2.0 |
mlpwr A Power Analysis Toolbox to Find Cost-Efficient Study Designs | 1.1.1 |
mlquantify Algorithms for Class Distribution Estimation | 0.2.0 |
mlr Machine Learning in R | 2.19.2 |
mlr3 Machine Learning in R - Next Generation | 0.22.1 |
mlr3batchmark Batch Experiments for 'mlr3' | 0.2.0 |
mlr3benchmark Analysis and Visualisation of Benchmark Experiments | 0.1.7 |
mlr3cluster Cluster Extension for 'mlr3' | 0.1.10 |
mlr3data Collection of Machine Learning Data Sets for 'mlr3' | 0.9.0 |
mlr3db Data Base Backend for 'mlr3' | 0.5.2 |
mlr3fairness Fairness Auditing and Debiasing for 'mlr3' | 0.3.2 |
mlr3fda Extending 'mlr3' to Functional Data Analysis | 0.2.0 |
mlr3filters Filter Based Feature Selection for 'mlr3' | 0.8.1 |
mlr3fselect Feature Selection for 'mlr3' | 1.2.1 |
mlr3hyperband Hyperband for 'mlr3' | 0.6.0 |
mlr3learners Recommended Learners for 'mlr3' | 0.9.0 |
mlr3mbo Flexible Bayesian Optimization | 0.2.8 |
mlr3measures Performance Measures for 'mlr3' | 1.0.0 |
mlr3misc Helper Functions for 'mlr3' | 0.16.0 |
mlr3oml Connector Between 'mlr3' and 'OpenML' | 0.10.0 |
mlr3pipelines Preprocessing Operators and Pipelines for 'mlr3' | 0.7.1 |
mlr3resampling Resampling Algorithms for 'mlr3' Framework | 2024.9.6 |
mlr3shiny Machine Learning in 'shiny' with 'mlr3' | 0.3.0 |
mlr3spatial Support for Spatial Objects Within the 'mlr3' Ecosystem | 0.5.0 |
mlr3spatiotempcv Spatiotemporal Resampling Methods for 'mlr3' | 2.3.2 |
mlr3summary Model and Learner Summaries for 'mlr3' | 0.1.0 |
mlr3superlearner Super Learner Fitting and Prediction | 0.1.2 |
mlr3torch Deep Learning with 'mlr3' | 0.1.2 |
mlr3tuning Hyperparameter Optimization for 'mlr3' | 1.2.1 |
mlr3tuningspaces Search Spaces for 'mlr3' | 0.5.2 |
mlr3verse Easily Install and Load the 'mlr3' Package Family | 0.3.0 |
mlr3viz Visualizations for 'mlr3' | 0.10.0 |
mlrCPO Composable Preprocessing Operators and Pipelines for Machine Learning | 0.3.7-7 |
mlrintermbo Model-Based Optimization for 'mlr3' Through 'mlrMBO' | 0.5.1-1 |
mlrMBO Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions | 1.1.5.1 |
mlrpro Stepwise Regression with Assumptions Checking | 0.1.2 |
mlrv Long-Run Variance Estimation in Time Series Regression | 0.1.2 |
mlsbm Efficient Estimation of Bayesian SBMs & MLSBMs | 0.99.2 |
mlsjunkgen Use the MLS Junk Generator Algorithm to Generate a Stream of Pseudo-Random Numbers | 0.1.2 |
mlstrOpalr Support Compatibility Between 'Maelstrom' R Packages and 'Opal' Environment | 1.0.3 |
mlsurvlrnrs R6-Based ML Survival Learners for 'mlexperiments' | 0.0.4 |
mlt Most Likely Transformations | 1.6-1 |
mlt.docreg Most Likely Transformations: Documentation and Regression Tests | 1.1-10 |
mltest Classification Evaluation Metrics | 1.0.1 |
mltools Machine Learning Tools | 0.3.5 |
mlts Multilevel Latent Time Series Models with 'R' and 'Stan' | 1.0.0 |
mlVAR Multi-Level Vector Autoregression | 0.5.2 |
MLVSBM A Stochastic Block Model for Multilevel Networks | 0.2.4 |
mlxR Simulation of Longitudinal Data | 4.2.0 |
MLZ Mean Length-Based Estimators of Mortality using TMB | 0.1.5 |
MM The Multiplicative Multinomial Distribution | 1.6-8 |
MM2Sdata Gene Expression Datasets for the 'MM2S' Package | 1.0.3 |
MM4LMM Inference of Linear Mixed Models Through MM Algorithm | 3.0.3 |
mma Multiple Mediation Analysis | 10.7-1 |
mmabig Multiple Mediation Analysis for Big Data Sets | 3.2-0 |
MMAC Data for Mathematical Modeling and Applied Calculus | 0.1.2 |
MMAD MM Algorithm Based on the Assembly-Decomposition Technology | 1.0.0 |
mmand Mathematical Morphology in Any Number of Dimensions | 1.6.3 |
mmap Map Pages of Memory | 0.6-22 |
mmapcharr Memory-Map Character Files | 0.3.0 |
mmaqshiny Explore Air-Quality Mobile-Monitoring Data | 1.0.0 |
mMARCH.AC Processing of Accelerometry Data with 'GGIR' in mMARCH | 2.9.4.0 |
mmb Arbitrary Dependency Mixed Multivariate Bayesian Models | 0.13.3 |
mmc Multivariate Measurement Error Correction | 0.0.3 |
mmcards Playing Cards Utility Functions | 0.1.1 |
mmcif Mixed Multivariate Cumulative Incidence Functions | 0.1.1 |
mmcm Modified Maximum Contrast Method | 1.2-8 |
mmconvert Mouse Map Converter | 0.10 |
Mmcsd Modeling Complex Longitudinal Data in a Quick and Easy Way | 1.0.0 |
MMD Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection | 1.0.0 |
MMDai Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Categorical Data | 2.0.0 |
MMDCopula Robust Estimation of Copulas by Maximum Mean Discrepancy | 0.2.1 |
MMDvariance Detecting Differentially Variable Genes Using the Mixture of Marginal Distributions | 0.0.9 |
mme Multinomial Mixed Effects Models | 0.1-6 |
mmeln Estimation of Multinormal Mixture Distribution | 1.5 |
MMeM Multivariate Mixed Effects Model | 0.1.1 |
mmeta Multivariate Meta-Analysis | 3.0.0 |
MMGFM Multi-Study Multi-Modality Generalized Factor Model | 1.1.0 |
mmibain Bayesian Informative Hypotheses Evaluation Web Applications | 0.2.0 |
mmiCATs Cluster Adjusted t Statistic Applications | 0.2.0 |
MMINP Microbe-Metabolite Interactions-Based Metabolic Profiles Predictor | 0.1.0 |
mmints Workflows for Building Web Applications | 0.1.0 |
mmirestriktor Informative Hypothesis Testing Web Applications | 0.3.1 |
MMLR Fitting Markov-Modulated Linear Regression Models | 0.2.0 |
mmmgee Simultaneous Inference for Multiple Linear Contrasts in GEE Models | 1.20 |
MMOC Multi-Omic Spectral Clustering using the Flag Manifold | 0.1.1.0 |
mmod Modern Measures of Population Differentiation | 1.3.3 |
mmodely Modeling Multivariate Origins Determinants - Evolutionary Lineages in Ecology | 0.2.5 |
mMPA Implementation of Marker-Assisted Mini-Pooling with Algorithm | 1.2.0 |
mmpca Integrative Analysis of Several Related Data Matrices | 2.0.3 |
mmpf Monte-Carlo Methods for Prediction Functions | 0.0.5 |
mmpp Various Similarity and Distance Metrics for Marked Point Processes | 0.6 |
mmr Matrix Multiplication on Data.frames | 0.1.0 |
MMRcaseselection Case Classification and Selection Based on Regression Results | 0.1.0 |
mmrm Mixed Models for Repeated Measures | 0.3.14 |
mmsample Multivariate Matched Sampling | 0.1 |
mmstat4 Access to Teaching Materials from a ZIP File or GitHub | 0.2.1 |
mmtsne Multiple Maps t-SNE | 0.1.0 |
MMVBVS Missing Multivariate Bayesian Variable Selection | 0.8.0 |
MMWRweek Convert Dates to MMWR Day, Week, and Year | 0.1.3 |
MN Matrix Normal Distribution | 1.0 |
MNARclust Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models | 1.1.0 |
MNB Diagnostic Tools for a Multivariate Negative Binomial Model | 1.1.0 |
mnda Multiplex Network Differential Analysis (MNDA) | 1.0.9 |
mnet Modeling Group Differences and Moderation Effects in Statistical Network Models | 0.1.2 |
mnis Easy Downloading Capabilities for the Members' Name Information Service | 0.3.1 |
mniw The Matrix-Normal Inverse-Wishart Distribution | 1.0.2 |
mnlfa Moderated Nonlinear Factor Analysis | 0.3-4 |
MNLpred Simulated Predicted Probabilities for Multinomial Logit Models | 0.0.8 |
MNLR Interactive Shiny Presentation for Working with Multinomial Logistic Regression | 0.1.0 |
MNM Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks | 1.0-4 |
mnonr A Generator of Multivariate Non-Normal Random Numbers | 1.0.0 |
mnorm Multivariate Normal Distribution | 1.2.2 |
mnormt The Multivariate Normal and t Distributions, and Their Truncated Versions | 2.1.1 |
MNormTest Multivariate Normal Hypothesis Testing | 1.1.1 |
MNP Fitting the Multinomial Probit Model | 3.1-5 |
mnreadR MNREAD Parameters Estimation and Curve Plotting | 2.1.7 |
MNS Mixed Neighbourhood Selection | 1.0 |
mnt Affine Invariant Tests of Multivariate Normality | 1.3 |
mob Monotonic Optimal Binning | 0.4.2 |
MobileTrigger Run Reports, Models, and Scripts from a Mobile Device | 0.0.31 |
mobilityIndexR Calculates Transition Matrices and Mobility Indices | 0.2.1 |
MoBPS Modular Breeding Program Simulator | 1.6.64 |
mobr Measurement of Biodiversity | 3.0.0 |
mobsim Spatial Simulation and Scale-Dependent Analysis of Biodiversity Changes | 0.3.2 |
moc.gapbk Multi-Objective Clustering Algorithm Guided by a-Priori Biological Knowledge | 0.1.3 |
MOCCA Multi-Objective Optimization for Collecting Cluster Alternatives | 1.4 |
MOCHA Modeling for Single-Cell Open Chromatin Analysis | 1.1.0 |
mockery Mocking Library for R | 0.4.4 |
mockr Mocking in R | 0.2.1 |
mockthat Function Mocking for Unit Testing | 0.2.8 |
mod Lightweight and Self-Contained Modules for Code Organization | 0.1.3 |
mod09nrt Extraction of Bands from MODIS Surface Reflectance Product MOD09 NRT | 0.14 |
mod2rm Moderation Analysis for Two-Instance Repeated Measures Designs | 0.2.1 |
modACDC Association of Covariance for Detecting Differential Co-Expression | 2.0.1 |
Modalclust Hierarchical Modal Clustering | 0.7 |
modeest Mode Estimation | 2.4.0 |
modehunt Multiscale Analysis for Density Functions | 1.0.7 |
model4you Stratified and Personalised Models Based on Model-Based Trees and Forests | 0.9-8 |
modelbased Estimation of Model-Based Predictions, Contrasts and Means | 0.8.9 |
modelbpp Model BIC Posterior Probability | 0.1.5 |
modelc A Linear Model to 'SQL' Compiler | 1.0.0.0 |
Modelcharts Classification Model Charts | 0.1.0 |
modeldata Data Sets Useful for Modeling Examples | 1.4.0 |
modeldatatoo More Data Sets Useful for Modeling Examples | 0.3.0 |
modeldb Fits Models Inside the Database | 0.3.0 |
modelDown Make Static HTML Website for Predictive Models | 1.1 |
modelenv Provide Tools to Register Models for Use in 'tidymodels' | 0.2.0 |
Modeler Classes and Methods for Training and Using Binary Prediction Models | 3.4.5 |
modelfactory Combine Statistical Models into a Tibble for Comparison | 1.0.0 |
modelfree Model-Free Estimation of a Psychometric Function | 1.2 |
modelgrid A Framework for Creating, Managing and Training Multiple 'caret' Models | 1.2.0 |
modelimpact Functions to Assess the Business Impact of Churn Prediction Models | 1.0.0 |
modeLLtest Compare Models with Cross-Validated Log-Likelihood | 1.0.4 |
ModelMap Modeling and Map Production using Random Forest and Related Stochastic Models | 3.4.0.4 |
ModelMatrixModel Create Model Matrix and Save the Transforming Parameters | 0.1.0 |
ModelMetrics Rapid Calculation of Model Metrics | 1.2.2.2 |
modelObj A Model Object Framework for Regression Analysis | 4.2 |
modelr Modelling Functions that Work with the Pipe | 0.1.11 |
modelSSE Modelling Infectious Disease Superspreading from Contact Tracing Data | 0.1-3 |
modelStudio Interactive Studio for Explanatory Model Analysis | 3.1.2 |
modelsummary Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready | 2.2.0 |
modeltests Testing Infrastructure for Broom Model Generics | 0.1.6 |
modeltime The Tidymodels Extension for Time Series Modeling | 1.3.1 |
modeltime.ensemble Ensemble Algorithms for Time Series Forecasting with Modeltime | 1.0.4 |
modeltime.resample Resampling Tools for Time Series Forecasting | 0.2.3 |
modeltools Tools and Classes for Statistical Models | 0.2-23 |
modelwordcloud Model Word Clouds | 0.1 |
moder Mode Estimation | 0.2.1 |
moderate.mediation Causal Moderated Mediation Analysis | 0.0.10 |
moderndive Tidyverse-Friendly Introductory Linear Regression | 0.7.0 |
modernVA An Implementation of Two Modern Education-Based Value-Added Models | 0.1.3 |
modest Model-Based Dose-Escalation Trials | 0.3-1 |
ModEstM Mode Estimation, Even in the Multimodal Case | 0.0.1 |
modesto Modeling and Analysis of Stochastic Systems | 0.1.4 |
modEvA Model Evaluation and Analysis | 3.23 |
modgetxl A 'shiny' Module for Reading Excel Sheets | 0.4 |
modgo Mock Data Generation | 1.0.1 |
modi Multivariate Outlier Detection and Imputation for Incomplete Survey Data | 0.1.2 |
modifiedmk Modified Versions of Mann Kendall and Spearman's Rho Trend Tests | 1.6 |
modisfast Fast and Efficient Access to MODIS Earth Observation Data | 1.0.0 |
MODISTools Interface to the 'MODIS Land Products Subsets' Web Services | 1.1.5 |
modmarg Calculating Marginal Effects and Levels with Errors | 0.9.6 |
modMax Community Structure Detection via Modularity Maximization | 1.1 |
modnets Modeling Moderated Networks | 0.9.0 |
modopt.matlab 'MatLab'-Style Modeling of Optimization Problems | 1.0-2 |
modQR Multiple-Output Directional Quantile Regression | 0.1.3 |
modsem Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM) | 1.0.4 |
ModStatR Statistical Modelling in Action with R | 1.3.3 |
ModTools Building Regression and Classification Models | 0.9.13 |
modTurPoint Estimate ED50 Based on Modified Turning Point Method | 0.1.0 |
moduleColor Basic Module Functions | 1.8-4 |
modules Self Contained Units of Source Code | 0.13.0 |
MOEADr Component-Wise MOEA/D Implementation | 1.1.3 |
MoEClust Gaussian Parsimonious Clustering Models with Covariates and a Noise Component | 1.5.2 |
moexer Interact with Moscow Exchange Informational and Statistical Server ('ISS') | 0.3.0 |
MOFAT Maximum One-Factor-at-a-Time Designs | 1.0 |
mogavs Multiobjective Genetic Algorithm for Variable Selection in Regression | 1.1.0 |
mojson A Serialization-Style Flattening and Description for JSON | 0.1 |
mokken Conducts Mokken Scale Analysis | 3.1.2 |
molaR Dental Surface Complexity Measurement Tools | 5.3 |
MoLE Modeling Language Evolution | 1.0.1 |
MolgenisArmadillo Armadillo Client for the Armadillo Service | 2.7.0 |
MolgenisAuth 'OpenID Connect' Discovery and Authentication | 0.0.25 |
MOLHD Multiple Objective Latin Hypercube Design | 0.2 |
mombf Model Selection with Bayesian Methods and Information Criteria | 3.5.4 |
momentchi2 Moment-Matching Methods for Weighted Sums of Chi-Squared Random Variables | 0.1.5 |
momentfit Methods of Moments | 0.5 |
moments Moments, Cumulants, Skewness, Kurtosis and Related Tests | 0.14.1 |
momentuHMM Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models | 1.5.5 |
Momocs Morphometrics using R | 1.4.1 |
MomTrunc Moments of Folded and Doubly Truncated Multivariate Distributions | 6.1 |
monaco The 'Monaco' Editor as a HTML Widget | 0.2.2 |
monad Operators and Generics for Monads | 0.1.1 |
MoNAn Mobility Network Analysis | 1.1.0 |
monashtipr An R API Wrapper for the Monash University Probabilistic Footy Tipping Competition | 0.1.0 |
mondate Keep Track of Dates in Terms of Months | 1.0 |
Mondrian A Simple Graphical Representation of the Relative Occurrence and Co-Occurrence of Events | 1.1-1 |
MonetDB.R Connect MonetDB to R | 2.0.0 |
mongolite Fast and Simple 'MongoDB' Client for R | 2.8.2 |
mongopipe Query MongoDB Documents with R | 0.1.1 |
monitoR Acoustic Template Detection in R | 1.0.7 |
monitOS Monitoring Overall Survival in Pivotal Trials in Indolent Cancers | 0.1.5 |
monmlp Multi-Layer Perceptron Neural Network with Optional Monotonicity Constraints | 1.1.5 |
monobin Monotonic Binning for Credit Rating Models | 0.2.4 |
monobinShiny Shiny User Interface for 'monobin' Package | 0.1.0 |
monochromeR Easily Create, View and Use Monochrome Colour Palettes | 0.2.0 |
monoClust Perform Monothetic Clustering with Extensions to Circular Data | 1.2.1 |
monographaR Taxonomic Monographs Tools | 1.3.1 |
MonoInc Monotonic Increasing | 1.1 |
monolix2rx Converts 'Monolix' Models to 'rxode2' | 0.0.4 |
monomvn Estimation for MVN and Student-t Data with Monotone Missingness | 1.9-21 |
MonoPhy Explore Monophyly of Taxonomic Groups in a Phylogeny | 1.3.2 |
MonoPoly Functions to Fit Monotone Polynomials | 0.3-10 |
monoreg Bayesian Monotonic Regression Using a Marked Point Process Construction | 2.1 |
monotone Performs Monotone Regression | 0.1.2 |
MonotoneHazardRatio Nonparametric Estimation and Inference of a Monotone Hazard Ratio Function | 0.2.0 |
monotonicity Test for Monotonicity in Expected Asset Returns, Sorted by Portfolios | 1.3.1 |
monreg Nonparametric Monotone Regression | 0.1.4.1 |
Monte.Carlo.se Monte Carlo Standard Errors | 0.1.1 |
MonteCarlo Automatic Parallelized Monte Carlo Simulations | 1.0.6 |
MonteCarloSEM Monte Carlo Data Simulation Package | 0.0.8 |
moocore Core Mathematical Functions for Multi-Objective Optimization | 0.1.2 |
moodef Defining 'Moodle' Elements from R | 1.1.0 |
moodlequizR Easily Create Fully Randomized 'Moodle' Test Questions | 2.1.1 |
moodleR Helper Functions to Work with 'Moodle' Data | 1.0.1 |
moonBook Functions and Datasets for the Book by Keon-Woong Moon | 0.3.1 |
moose Mean Squared Out-of-Sample Error Projection | 0.0.1 |
mop Mobility Oriented-Parity Metric | 0.1.2 |
mopac Collection of Datasets Pertaining to Loop 1 "Mopac" | 0.1.0 |
MOQA Basic Quality Data Assurance for Epidemiological Research | 2.0.0 |
moranajp Morphological Analysis for Japanese | 0.9.7 |
moreparty A Toolbox for Conditional Inference Trees and Random Forests | 0.4 |
morepls Interpretation Tools for Partial Least Squares Regression | 0.1 |
morestopwords All Stop Words in One Place | 0.2.0 |
morph 3D Segmentation of Voxels into Morphologic Classes | 1.1.0 |
morphemepiece Morpheme Tokenization | 1.2.3 |
morphemepiece.data Data for Morpheme Tokenization | 1.2.0 |
morpheus Estimate Parameters of Mixtures of Logistic Regressions | 1.0-4 |
Morpho Calculations and Visualisations Related to Geometric Morphometrics | 2.12 |
morphomap Morphometric Maps, Bone Landmarking and Cross Sectional Geometry | 1.5 |
MorphoRegions Analysis of Regionalization Patterns in Serially Homologous Structures | 0.1.0 |
Morphoscape Computation and Visualization of Adaptive Landscapes | 1.0.2 |
MorphoTools2 Multivariate Morphometric Analysis | 1.0.2.1 |
morrowplots Historical Agricultural Data from the University of Illinois | 0.1.0 |
morse Modelling Reproduction and Survival Data in Ecotoxicology | 3.3.4 |
mort Identifying Potential Mortalities and Expelled Tags in Aquatic Acoustic Telemetry Arrays | 0.0.1 |
mortAAR Analysis of Archaeological Mortality Data | 1.1.6 |
MortalityGaps The Double-Gap Life Expectancy Forecasting Model | 1.0.0 |
MortalityLaws Parametric Mortality Models, Life Tables and HMD | 2.1.0 |
MortalityTables A Framework for Various Types of Mortality / Life Tables | 2.0.5 |
MortCast Estimation and Projection of Age-Specific Mortality Rates | 2.8-0 |
mosaic Project MOSAIC Statistics and Mathematics Teaching Utilities | 1.9.1 |
mosaicCalc R-Language Based Calculus Operations for Teaching | 0.6.4 |
mosaicCore Common Utilities for Other MOSAIC-Family Packages | 0.9.4.0 |
mosaicData Project MOSAIC Data Sets | 0.20.4 |
mosaicModel An Interface to Statistical Modeling Independent of Model Architecture | 0.3.0 |
mosqcontrol Mosquito Control Resource Optimization | 0.1.0 |
MOSS Multi-Omic Integration via Sparse Singular Value Decomposition | 0.2.2 |
MOST Multiphase Optimization Strategy | 0.1.2 |
mosum Moving Sum Based Procedures for Changes in the Mean | 1.2.7 |
MoTBFs Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions | 1.4.1 |
MOTE Effect Size and Confidence Interval Calculator | 1.0.2 |
motif Local Pattern Analysis | 0.6.4 |
motifcluster Motif-Based Spectral Clustering of Weighted Directed Networks | 0.2.3 |
motifr Motif Analysis in Multi-Level Networks | 1.0.0 |
motmot Models of Trait Macroevolution on Trees | 2.1.3 |
motoRneuron Analyzing Paired Neuron Discharge Times for Time-Domain Synchronization | 1.0.0 |
moult Models for Analysing Moult in Birds | 2.3.1 |
mountainplot Mountain Plots, Folded Empirical Cumulative Distribution Plots | 1.4 |
mousetRajectory Mouse Trajectory Analyses for Behavioural Scientists | 0.2.1 |
mousetrap Process and Analyze Mouse-Tracking Data | 3.2.3 |
move Visualizing and Analyzing Animal Track Data | 4.2.6 |
move2 Processing and Analysing Animal Trajectories | 0.4.0 |
movecost Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape | 2.1 |
movegroup Visualizing and Quantifying Space Use Data for Groups of Animals | 2024.03.05 |
moveHMM Animal Movement Modelling using Hidden Markov Models | 1.9 |
movementsync Analysis and Visualisation of Musical Audio and Video Movement Synchrony Data | 0.1.4 |
moveWindSpeed Estimate Wind Speeds from Bird Trajectories | 0.2.4 |
movieROC Visualizing the Decision Rules Underlying Binary Classification | 0.1.2 |
movMF Mixtures of von Mises-Fisher Distributions | 0.2-9 |
mp Multidimensional Projection Techniques | 0.4.1 |
mpactr Correction of Preprocessed MS Data | 0.1.0 |
mpae Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods) | 0.1.2 |
mpath Regularized Linear Models | 0.4-2.26 |
mpathr Easily Handling Data from the ‘m-Path’ Platform | 1.0.2 |
mpathsenser Process and Analyse Data from m-Path Sense | 1.2.3 |
MPBoost Treatment Allocation in Clinical Trials by the Maximal Procedure | 0.1-6 |
MPCI Multivariate Process Capability Indices (MPCI) | 1.0.7 |
MPCR Multi- And Mixed-Precision Computations | 1.1.3 |
MPDiR Data Sets and Scripts for Modeling Psychophysical Data in R | 0.2 |
MPGE A Two-Step Approach to Testing Overall Effect of Gene-Environment Interaction for Multiple Phenotypes | 1.0.0 |
MPI Computation of Multidimensional Poverty Index (MPI) | 0.1.0 |
mpindex Multidimensional Poverty Index (MPI) | 0.2.1 |
mpitbR Calculate Alkire-Foster Multidimensional Poverty Measures | 1.0.0 |
mplot Graphical Model Stability and Variable Selection Procedures | 1.0.6 |
MplusAutomation An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus | 1.1.1 |
mplusParallel.automation Parallel Processing Automation for 'Mplus' | 0.0.1.1 |
MplusTrees Decision Trees with Structural Equation Models Fit in 'Mplus' | 0.2.2 |
mpm Multivariate Projection Methods | 1.0-23 |
mpmcorrelogram Multivariate Partial Mantel Correlogram | 0.1-4 |
mpmi Mixed-Pair Mutual Information Estimators | 0.43.2.1 |
mpmsim Simulation of Matrix Population Models with Defined Life History Characteristics | 3.1.0 |
MPN Most Probable Number and Other Microbial Enumeration Techniques | 0.4.0 |
mpoly Symbolic Computation and More with Multivariate Polynomials | 1.1.1 |
mpower Power Analysis via Monte Carlo Simulation for Correlated Data | 0.1.0 |
mppR Multi-Parent Population QTL Analysis | 1.5.0 |
mpr Multi-Parameter Regression (MPR) | 1.0.6 |
MPS Estimating Through the Maximum Product Spacing Approach | 2.3.1 |
MPSEM Modelling Phylogenetic Signals using Eigenvector Maps | 0.5-1 |
mpspline2 Mass-Preserving Spline Functions for Soil Data | 0.1.6 |
MPsychoR Modern Psychometrics with R | 0.10-8 |
mpt Multinomial Processing Tree Models | 1.0-0 |
MPTinR Analyze Multinomial Processing Tree Models | 1.14.1 |
MPTmultiverse Multiverse Analysis of Multinomial Processing Tree Models | 0.4-2 |
MPV Data Sets from Montgomery, Peck and Vining | 1.64 |
mpwR Standardized Comparison of Workflows in Mass Spectrometry-Based Bottom-Up Proteomics | 0.1.5 |
MQMF Modelling and Quantitative Methods in Fisheries | 0.1.5 |
Mqrcm M-Quantile Regression Coefficients Modeling | 1.3 |
mr.pivw Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization | 0.1.1 |
mr.raps Two Sample Mendelian Randomization using Robust Adjusted Profile Score | 0.2 |
MR.RGM Multivariate Bidirectional Mendelian Randomization Networks | 0.0.3 |
mra Mark-Recapture Analysis | 2.16.11 |
mratios Ratios of Coefficients in the General Linear Model | 1.4.2 |
mrbayes Bayesian Summary Data Models for Mendelian Randomization Studies | 0.5.2 |
mrbin Metabolomics Data Analysis Functions | 1.8.0 |
mrbsizeR Scale Space Multiresolution Analysis of Random Signals | 1.3 |
mRc Multi-Visit Closed Population Mark-Recapture Estimates | 0.1.0 |
MRCE Multivariate Regression with Covariance Estimation | 2.4 |
mrct Outlier Detection of Functional Data Based on the Minimum Regularized Covariance Trace Estimator | 0.0.1.0 |
MRCV Methods for Analyzing Multiple Response Categorical Variables (MRCVs) | 0.4-0 |
mrds Mark-Recapture Distance Sampling | 3.0.0 |
mreg Fits Regression Models When the Outcome is Partially Missing | 1.2.1 |
mregions2 Access Data from Marineregions.org: Gazetteer & Data Products | 1.1.1 |
mrf Multiresolution Forecasting | 0.1.6 |
mrf2d Markov Random Field Models for Image Analysis | 1.0 |
MRFA Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach | 0.6 |
MRFcov Markov Random Fields with Additional Covariates | 1.0.39 |
mrfDepth Depth Measures in Multivariate, Regression and Functional Settings | 1.0.17 |
mrfse Markov Random Field Structure Estimator | 0.4.2 |
MRG Create Non-Confidential Multi-Resolution Grids | 0.3.1 |
mrgsim.parallel Simulate with 'mrgsolve' in Parallel | 0.2.1 |
mrgsim.sa Sensitivity Analysis with 'mrgsolve' | 0.2.0 |
mrgsolve Simulate from ODE-Based Models | 1.5.2 |
MRHawkes Multivariate Renewal Hawkes Process | 1.0 |
mri Modified Rand and Wallace Indices | 1.0.1 |
mritc MRI Tissue Classification | 0.5-3 |
MRMCaov Multi-Reader Multi-Case Analysis of Variance | 0.3.0 |
MRMCsamplesize Sample Size Estimations for Planning Multi-Reader Multi-Case (MRMC) Studies Without Pilot Data | 1.0.0 |
MRmediation A Causal Mediation Method with Methylated Region (MR) as the Mediator | 1.0.1 |
mrMLM Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS | 5.0.1 |
mrMLM.GUI Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study with Graphical User Interface | 4.0.2 |
mRMRe Parallelized Minimum Redundancy, Maximum Relevance (mRMR) | 2.1.2.2 |
mro Multiple Correlation | 0.1.1 |
MRPC PC Algorithm with the Principle of Mendelian Randomization | 3.1.0 |
mRpostman An IMAP Client for R | 1.1.4 |
MRQoL Minimal Clinically Important Difference and Response Shift Effect for Health-Related Quality of Life | 1.0 |
MRReg MDL Multiresolution Linear Regression Framework | 0.1.5 |
mrregression Regression Analysis for Very Large Data Sets via Merge and Reduce | 1.0.0 |
MRS Multi-Resolution Scanning for Cross-Sample Differences | 1.2.6 |
MRTAnalysis Primary and Secondary Analyses for Micro-Randomized Trials | 0.1.2 |
MRTSampleSize A Sample Size Calculator for Micro-Randomized Trials | 0.3.0 |
MRTSampleSizeBinary Sample Size Calculator for MRT with Binary Outcomes | 0.1.2 |
MRZero Diet Mendelian Randomization | 0.2.0 |
msae Multivariate Fay Herriot Models for Small Area Estimation | 0.1.5 |
msaeHB Multivariate Small Area Estimation using Hierarchical Bayesian Method | 0.1.0 |
msaenet Multi-Step Adaptive Estimation Methods for Sparse Regressions | 3.1.2 |
msaFACE Moving Subset Analysis FACE | 0.1.0 |
msamp Estimate Sample Size to Detect Bacterial Contamination in a Product Lot | 1.0.0 |
msaR Multiple Sequence Alignment for R Shiny | 0.6.0 |
MSbox Mass Spectrometry Tools | 1.4.8 |
msBP Multiscale Bernstein Polynomials for Densities | 1.4-1 |
MSBStatsData Data Sets for Courses at the Münster School of Business | 0.0.2 |
msce Hazard of Multi-Stage Clonal Expansion Models | 1.0.1 |
mschart Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint' Documents | 0.4.0 |
MSclassifR Automated Classification of Mass Spectra | 0.3.3 |
MSclust Multiple-Scaled Clustering | 1.0.4 |
MSCMT Multivariate Synthetic Control Method Using Time Series | 1.4.0 |
MScombine Combine Data from Positive and Negative Ionization Mode Finding Common Entities | 1.4 |
mscp Multiscale Change Point Detection via Gradual Bandwidth Adjustment in Moving Sum Processes | 1.0 |
MSCquartets Analyzing Gene Tree Quartets under the Multi-Species Coalescent | 3.0 |
MSCsimtester Tests of Multispecies Coalescent Gene Tree Simulator Output | 1.0.0 |
mscstexta4r R Client for the Microsoft Cognitive Services Text Analytics REST API | 0.1.2 |
mscstts R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API | 0.6.3 |
mscsweblm4r R Client for the Microsoft Cognitive Services Web Language Model REST API | 0.1.2 |
msd Method of Successive Dichotomizations | 0.3.1 |
msde Bayesian Inference for Multivariate Stochastic Differential Equations | 1.0.5 |
msdrought Seasonal Mid-Summer Drought Characteristics | 0.1.0 |
mseapca Metabolite Set Enrichment Analysis for Loadings | 2.0.3 |
msentropy Spectral Entropy for Mass Spectrometry Data | 0.1.4 |
MSEtool Management Strategy Evaluation Toolkit | 3.7.3 |
MSG Data and Functions for the Book Modern Statistical Graphics | 0.8 |
MSGARCH Markov-Switching GARCH Models | 2.51 |
MSGARCHelm Hybridization of MS-GARCH and ELM Model | 0.1.0 |
msgpackR A library to serialize or unserialize data in MessagePack format | 1.1 |
msgps Degrees of Freedom of Elastic Net, Adaptive Lasso and Generalized Elastic Net | 1.3.5 |
msgr Extends Messages, Warnings and Errors by Adding Levels and Log Files | 1.1.2 |
mshap Multiplicative SHAP Values for Two-Part Models | 0.1.0 |
msig An R Package for Exploring Molecular Signatures Database | 1.0 |
msigdbr MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format | 7.5.1 |
MSigSeg Multiple SIGnal SEGmentation | 0.2.0 |
mSigTools Mutational Signature Analysis Tools | 1.0.7 |
mSimCC Micro Simulation Model for Cervical Cancer Prevention | 0.0.3 |
MSIMST Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood | 1.1 |
MSinference Multiscale Inference for Nonparametric Time Trend(s) | 0.2.1 |
MSiP 'MassSpectrometry' Interaction Prediction | 1.3.7 |
msir Model-Based Sliced Inverse Regression | 1.3.3 |
mskcc.oncotree Interface to the 'OncoTree' API | 0.1.1 |
msltrend Improved Techniques to Estimate Trend, Velocity and Acceleration from Sea Level Records | 1.0 |
msm Multi-State Markov and Hidden Markov Models in Continuous Time | 1.8.2 |
msma Multiblock Sparse Multivariable Analysis | 3.1 |
msme Functions and Datasets for "Methods of Statistical Model Estimation" | 0.5.3 |
MSmix Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings | 1.0.2 |
MSML Model Selection Based on Machine Learning (ML) | 1.0.0.1 |
msmtools Building Augmented Data to Run Multi-State Models with 'msm' Package | 2.0.1 |
MSMwRA Multivariate Statistical Methods with R Applications | 1.5 |
msos Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden | 1.2.0 |
MSoutcomes CORe Multiple Sclerosis Outcomes Toolkit | 0.2.0 |
MSPRT A Modified Sequential Probability Ratio Test (MSPRT) | 3.0 |
MSQC Multivariate Statistical Quality Control | 1.1.0 |
MSRDT Multi-State Reliability Demonstration Tests (MSRDT) | 0.1.0 |
mssearchr Library Search Against Electron Ionization Mass Spectral Databases | 0.2.0 |
msSPChelpR Helper Functions for Second Primary Cancer Analyses | 0.9.1 |
MSSQL Tools to Work with Microsoft SQL Server Databases via 'RODBC' | 1.0.1 |
MST Multivariate Survival Trees | 2.2 |
mstate Data Preparation, Estimation and Prediction in Multi-State Models | 0.3.3 |
mStats Epidemiological Data Analysis | 3.4.0 |
mstclustering "MST-Based Clustering" | 1.0.0.0 |
mstDIF A Collection of DIF Tests for Multistage Tests | 0.1.8 |
mSTEM Multiple Testing of Local Extrema for Detection of Change Points | 1.0-1 |
MSTest Hypothesis Testing for Markov Switching Models | 0.1.3 |
mstherm Analyze MS/MS Protein Melting Data | 0.4.7 |
mstknnclust MST-kNN Clustering Algorithm | 0.3.2 |
mstR Procedures to Generate Patterns under Multistage Testing | 1.2 |
mstrio Interface for 'MicroStrategy' REST API | 11.3.5.101 |
mstudentd Multivariate t Distribution | 1.1.1 |
msu Multivariate Symmetric Uncertainty and Other Measurements | 0.0.1 |
MSwM Fitting Markov Switching Models | 1.5 |
mt Metabolomics Data Analysis Toolbox | 2.0-1.20 |
MTA Multiscalar Territorial Analysis | 0.6.0 |
MTAFT Data-Driven Estimation for Multi-Threshold Accelerate Failure Time Model | 0.1.0 |
mtanan Single Valued Neutrosophic Kruskal-Wallis and Mann Whitney Tests | 0.0.1 |
MTAR Multi-Trait Analysis of Rare-Variant Association Study | 0.1.1 |
mtarm Bayesian Estimation of Multivariate Threshold Autoregressive Models | 0.1.2 |
mtb My Toolbox for Assisting Document Editing and Data Presenting | 0.1.8 |
mtdesign Mander and Thompson Designs | 0.1.2 |
MTDrh Mass Transportation Distance Rank Histogram | 0.1.0 |
MTE Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection | 1.2 |
MTest A Procedure for Multicollinearity Testing using Bootstrap | 1.0.2 |
mthapower Sample Size and Power for Association Studies Involving Mitochondrial DNA Haplogroups | 0.1.1 |
mtlgmm Unsupervised Multi-Task and Transfer Learning on Gaussian Mixture Models | 0.1.0 |
MTLR Survival Prediction with Multi-Task Logistic Regression | 0.2.1 |
MTPS Multi-Task Prediction using Stacking Algorithms | 1.0.2 |
MtreeRing A Shiny Application for Automatic Measurements of Tree-Ring Widths on Digital Images | 1.4.5 |
MTS All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS) and Estimating Multivariate Volatility Models | 1.2.1 |
mtscr Multidimensional Top Scoring for Creativity Research | 1.0.2 |
mtsdi Multivariate Time Series Data Imputation | 0.3.5 |
mtsta Accessing the Red List of Montane Tree Species of the Tropical Andes | 0.0.0.1 |
MTSYS Methods in Mahalanobis-Taguchi (MT) System | 1.2.0 |
mtvc Multiple Counting Process Structure for Survival Analysis | 1.1.0 |
MUACz Generate MUAC and BMI z-Scores and Percentiles for Children and Adolescents | 2.1.0 |
MuChPoint Multiple Change Point | 0.6.3 |
muckrock Data on Freedom of Information Act Requests | 0.1.0 |
mudfold Multiple UniDimensional unFOLDing | 1.1.21 |
mueRelativeRisk Relative Risk Based on the Ratio of Median Unbiased Estimates | 0.1.1 |
muhaz Hazard Function Estimation in Survival Analysis | 1.2.6.4 |
muir Exploring Data with Tree Data Structures | 0.1.0 |
mulea Enrichment Analysis Using Multiple Ontologies and False Discovery Rate | 1.1.1 |
mulgar Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours | 1.0.2 |
MullerPlot Generates Muller Plot from Population/Abundance/Frequency Dynamics Data | 0.1.3 |
mully Create, Modify and Visualize Multi-Layered Networks | 2.1.38 |
mulSEM Some Multivariate Analyses using Structural Equation Modeling | 1.0 |
mulset Multiset Intersection Generator | 1.0.0 |
mult.latent.reg Regression and Clustering in Multivariate Response Scenarios | 0.2.1 |
MultAlloc Optimal Allocation in Stratified Sampling | 1.2 |
MultBiplotR Multivariate Analysis Using Biplots in R | 23.11.0 |
multbxxc Auxiliary Routines for Influx Software | 1.0.3 |
multcomp Simultaneous Inference in General Parametric Models | 1.4-26 |
multcompView Visualizations of Paired Comparisons | 0.1-10 |
multDM Multivariate Version of the Diebold-Mariano Test | 1.1.4 |
multe Multiple Treatment Effects Regression | 1.1.0 |
MultEq Multiple Equivalence Tests and Simultaneous Confidence Intervals | 2.4 |
multfisher Optimal Exact Tests for Multiple Binary Endpoints | 1.1 |
multgee GEE Solver for Correlated Nominal or Ordinal Multinomial Responses | 1.9.0 |
multiActionButton Multi Action Button for 'Shiny' Applications | 1.0.0 |
Multiaovbay Classic, Nonparametric and Bayesian Two-Way Analysis of Variance Panel | 0.1.0 |
multiApply Apply Functions to Multiple Multidimensional Arrays or Vectors | 2.1.4 |
MultiAssayExperiment | 1.32.0 |
multiAssetOptions Finite Difference Method for Multi-Asset Option Valuation | 0.1-2 |
MultiATSM Multicountry Term Structure of Interest Rates Models | 1.0.0 |
MultiBD Multivariate Birth-Death Processes | 0.2.0 |
multibias Simultaneous Multi-Bias Adjustment | 1.6.1 |
multibiasmeta Sensitivity Analysis for Multiple Biases in Meta-Analyses | 0.2.2 |
multibiplotGUI Multibiplot Analysis in R | 1.1 |
multiblock Multiblock Data Fusion in Statistics and Machine Learning | 0.8.8.2 |
multibreakeR Tests for a Structural Change in Multivariate Time Series | 0.1.0 |
multibridge Evaluating Multinomial Order Restrictions with Bridge Sampling | 1.2.0 |
multiCA Multinomial Cochran-Armitage Trend Test | 1.1 |
multicastR A Companion to the Multi-CAST Collection | 2.0.0 |
multichull A Generic Convex-Hull-Based Model Selection Method | 3.0.1 |
multiclassPairs Build MultiClass Pair-Based Classifiers using TSPs or RF | 0.4.3 |
MultiClassROC ROC Curves for Multi-Class Analysis | 0.1.0 |
multicmp Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution | 1.1 |
MultiCOAP High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model | 1.1 |
multiColl Collinearity Detection in a Multiple Linear Regression Model | 2.0 |
multicool Permutations of Multisets in Cool-Lex Order | 1.0.1 |
multid Multivariate Difference Between Two Groups | 1.0.0 |
multiDimBio Multivariate Analysis and Visualization for Biological Data | 1.2.2 |
multiDoE Multi-Criteria Design of Experiments for Optimal Design | 0.9.2 |
multidplyr A Multi-Process 'dplyr' Backend | 0.1.3 |
multifamm Multivariate Functional Additive Mixed Models | 0.1.1 |
multiFANOVA Multiple Contrast Tests for Functional Data | 0.1.0 |
multifear Multiverse Analyses for Conditioning Data | 0.1.3 |
MultiFit Multiscale Fisher's Independence Test for Multivariate Dependence | 1.1.1 |
multifunc Analysis of Ecological Drivers on Ecosystem Multifunctionality | 0.9.4 |
multifwf Read Fixed Width Format Files Containing Lines of Different Type | 0.2.2 |
MultiGlarmaVarSel Variable Selection in Sparse Multivariate GLARMA Models | 1.0 |
multigraph Plot and Manipulate Multigraphs | 0.99-3 |
multigraphr Probability Models and Statistical Analysis of Random Multigraphs | 0.2.0 |
multigroup Multigroup Data Analysis | 0.4.5 |
MultiGroupO MultiGroup Method and Simulation Data Analysis | 0.4.0 |
MultiGroupSequential Group-Sequential Procedures with Multiple Hypotheses | 1.1.0 |
MultiJoin Enables Efficient Joining of Data File on Common Fields using the Unix Utility Join | 0.1.1 |
MultiKink Estimation and Inference for Multi-Kink Quantile Regression | 0.2.0 |
multilaterals Transitive Index Numbers for Cross-Sections and Panel Data | 1.0 |
MultiLCIRT Multidimensional Latent Class Item Response Theory Models | 2.11 |
multilevel Multilevel Functions | 2.7 |
multilevelcoda Estimate Bayesian Multilevel Models for Compositional Data | 1.3.1 |
multilevelmediation Utility Functions for Multilevel Mediation Analysis | 0.3.1 |
multilevelmod Model Wrappers for Multi-Level Models | 1.0.0 |
multilevelPSA Multilevel Propensity Score Analysis | 1.2.5 |
multilevelTools Multilevel and Mixed Effects Model Diagnostics and Effect Sizes | 0.1.1 |
multilevLCA Estimates and Plots Single-Level and Multilevel Latent Class Models | 1.5.2 |
multilinguer Gentle Language Installer for R User | 0.2.4 |
multilink Multifile Record Linkage and Duplicate Detection | 0.1.1 |
multimark Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks | 2.1.6 |
multiMarker Latent Variable Model to Infer Food Intake from Multiple Biomarkers | 1.0.1 |
multimedia Multimodal Mediation Analysis | 0.2.0 |
multimix Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm | 1.0-10 |
multimode Mode Testing and Exploring | 1.5 |
multimorbidity Harmonizing Various Comorbidity, Multimorbidity, and Frailty Measures | 0.5.1 |
multiness MULTIplex NEtworks with Shared Structure | 1.0.2 |
multinet Analysis and mining of multilayer social networks | 4.2.1 |
multinets Multilevel Networks Analysis | 0.2.2 |
multinma Bayesian Network Meta-Analysis of Individual and Aggregate Data | 0.7.2 |
MultinomialCI Simultaneous Confidence Intervals for Multinomial Proportions According to the Method by Sison and Glaz | 1.2 |
multinomialLogitMix Clustering Multinomial Count Data under the Presence of Covariates | 1.1 |
multinomineq Bayesian Inference for Multinomial Models with Inequality Constraints | 0.2.6 |
multIntTestFunc Provides Test Functions for Multivariate Integration | 0.3.0 |
MultiObjMatch Multi-Objective Matching Algorithm | 1.0.0 |
multiocc Fits Multivariate Spatio-Temporal Occupancy Model | 0.2.1 |
MultiOrd Generation of Multivariate Ordinal Variates | 2.4.3 |
multipanelfigure Infrastructure to Assemble Multi-Panel Figures (from Grobs) | 2.1.6 |
MultiPhen A Package to Test for Multi-Trait Association | 2.0.3 |
MultipleBreakpoints Estimating Multiple Breakpoints for a Sequence of Realizations of Bernoulli Variables | 0.1.0 |
MultipleBubbles Test and Detection of Explosive Behaviors for Time Series | 0.2.0 |
multipleDL Addressing Detection Limits by Cumulative Probability Models (CPMs) | 1.0.0 |
multipleNCC Weighted Cox-Regression for Nested Case-Control Data | 1.2-4 |
multipleOutcomes Asymptotic Covariance Matrix of Regression Models for Multiple Outcomes | 0.4 |
MultipleRegression Multiple Regression Analysis | 0.1.0 |
multiplestressR Additive and Multiplicative Null Models for Multiple Stressor Data | 0.1.1 |
multiplex Algebraic Tools for the Analysis of Multiple Social Networks | 3.8-3 |
MultiplierDEA Multiplier Data Envelopment Analysis and Cross Efficiency | 0.1.19 |
multipol Multivariate Polynomials | 1.0-9 |
multiRDPG Multiple Random Dot Product Graphs | 1.0.1 |
multirich Calculate Multivariate Richness via UTC and sUTC | 2.1.3 |
multiridge Fast Cross-Validation for Multi-Penalty Ridge Regression | 1.11 |
MultiRNG Multivariate Pseudo-Random Number Generation | 1.2.4 |
MultiRobust Multiply Robust Methods for Missing Data Problems | 1.0.5 |
multiROC Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications | 1.1.1 |
MultiRR Bias, Precision, and Power for Multi-Level Random Regressions | 1.1 |
MultIS Reconstruction of Clones from Integration Site Readouts and Visualization | 0.6.2 |
MultiscaleDTM Multi-Scale Geomorphometric Terrain Attributes | 0.8.3 |
multiselect Selecting Combinations of Predictors by Leveraging Multiple AUCs for an Ordered Multilevel Outcome | 0.1.0 |
multisensi Multivariate Sensitivity Analysis | 2.1-1 |
multisite.accuracy Estimation of Accuracy in Multisite Machine-Learning Models | 1.3 |
MultisiteMediation Causal Mediation Analysis in Multisite Trials | 0.0.4 |
MultiSkew Measures, Tests and Removes Multivariate Skewness | 1.1.1 |
multisom Clustering a Data Set using Multi-SOM Algorithm | 1.3 |
multispatialCCM Multispatial Convergent Cross Mapping | 1.3 |
MultiStatM Multivariate Statistical Methods | 2.0.0 |
multitaper Spectral Analysis Tools using the Multitaper Method | 1.0-17 |
multitool Run Multiverse Style Analyses | 0.1.4 |
MultiTraits Analyzing and Visualizing Multidimensional Plant Traits | 0.1.0 |
multiUS Functions for the Courses Multivariate Analysis and Computer Intensive Methods | 1.2.3 |
multivar Penalized Estimation of Multiple-Subject Vector Autoregressive (multi-VAR) Models | 1.1.0 |
multivariance Measuring Multivariate Dependence Using Distance Multivariance | 2.4.1 |
MultivariateAnalysis Pacote Para Analise Multivariada | 0.5.0 |
MultivariateRandomForest Models Multivariate Cases Using Random Forests | 1.1.5 |
multivarious Extensible Data Structures for Multivariate Analysis | 0.2.0 |
MultiVarMI Multiple Imputation for Multivariate Data | 1.0 |
MultiVarSel Variable Selection in a Multivariate Linear Model | 1.1.3 |
multivator A Multivariate Emulator | 1.1-11 |
multiverse Create 'multiverse analysis' in R | 0.6.2 |
multiview Cooperative Learning for Multi-View Analysis | 0.8 |
multiwave Estimation of Multivariate Long-Memory Models Parameters | 1.4 |
multiway Component Models for Multi-Way Data | 1.0-6 |
MultiwayRegression Perform Tensor-on-Tensor Regression | 1.2 |
multiwayvcov Multi-Way Standard Error Clustering | 1.2.3 |
MultNonParam Multivariate Nonparametric Methods | 1.3.9 |
MultOrdRS Model Multivariate Ordinal Responses Including Response Styles | 0.1-3 |
multpois Analyze Nominal Response Data with the Multinomial-Poisson Trick | 0.2.0 |
MultRegCMP Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data | 0.1.0 |
MultSurvTests Permutation Tests for Multivariate Survival Analysis | 0.2 |
multtest Resampling-based multiple hypothesis testing | 2.62.0 |
multxpert Common Multiple Testing Procedures and Gatekeeping Procedures | 0.1.1 |
MulvariateRandomForestVarImp Variable Importance Measures for Multivariate Random Forests | 0.0.2 |
MuMIn Multi-Model Inference | 1.48.4 |
munfold Metric Unfolding | 0.3.5 |
munsell Utilities for Using Munsell Colours | 0.5.1 |
munsellinterpol Interpolate Munsell Renotation Data from Hue/Chroma to CIE/RGB | 3.0-0 |
muRL Mailmerge using R, LaTeX, and the Web | 0.1-13 |
murphydiagram Murphy Diagrams for Forecast Comparisons | 0.12.2 |
muRty Murty's Algorithm for k-Best Assignments | 0.3.1 |
MUS Monetary Unit Sampling and Estimation Methods, Widely Used in Auditing | 0.1.6 |
musclesyneRgies Extract Muscle Synergies from Electromyography | 1.2.5 |
music Learn and Experiment with Music Theory | 0.1.2 |
musica Multiscale Climate Model Assessment | 0.1.3 |
musicNMR Conversion of Nuclear Magnetic Resonance Spectra in Audio Files | 1.0 |
mutationtypes Validate and Convert Mutational Impacts Using Standard Genomic Dictionaries | 0.0.1 |
mutoss Unified Multiple Testing Procedures | 0.1-13 |
mutossGUI A Graphical User Interface for the MuToss Project | 0.1-12 |
mutSignatures Decipher Mutational Signatures from Somatic Mutational Catalogs | 2.1.1 |
mutualinf Computation and Decomposition of the Mutual Information Index | 1.2.2 |
MuViCP MultiClass Visualizable Classification using Combination of Projections | 1.3.2 |
MUVR2 Multivariate Methods with Unbiased Variable Selection | 0.1.0 |
MVA An Introduction to Applied Multivariate Analysis with R | 1.0-8 |
mvabund Statistical Methods for Analysing Multivariate Abundance Data | 4.2.1 |
MVar Multivariate Analysis | 2.2.5 |
MVar.pt Analise multivariada (brazilian portuguese) | 2.2.5 |
MvBinary Modelling Multivariate Binary Data with Blocks of Specific One-Factor Distribution | 1.1 |
mvbutils Workspace Organization, Code and Documentation Editing, Package Prep and Editing, Etc | 2.8.232 |
mvcauchy Multivariate Cauchy Distribution | 1.1 |
mvcor Correlation Coefficients for Multivariate Data | 1.0 |
mvctm Multivariate Variance Components Tests for Multilevel Data | 1.2 |
mvdalab Multivariate Data Analysis Laboratory | 1.7 |
mvDFA Multivariate Detrended Fluctuation Analysis | 0.0.4 |
mverse Tidy Multiverse Analysis Made Simple | 0.1.0 |
MVET Multivariate Estimates and Tests | 0.1.0 |
mvgam Multivariate (Dynamic) Generalized Additive Models | 1.1.3 |
mvgb Multivariate Probabilities of Scale Mixtures of Multivariate Normal Distributions via the Genz and Bretz (2002) QRSVN Method | 0.0.6 |
mvglmmRank Multivariate Generalized Linear Mixed Models for Ranking Sports Teams | 1.2-4 |
mvGPS Causal Inference using Multivariate Generalized Propensity Score | 1.2.2 |
mvhist Multivariate Histograms | 1.1 |
mvinfluence Influence Measures and Diagnostic Plots for Multivariate Linear Models | 0.9.0 |
MVisAGe Compute and Visualize Bivariate Associations | 0.2.1 |
MVLM Multivariate Linear Model with Analytic p-Values | 0.1.4 |
mvLSW Multivariate, Locally Stationary Wavelet Process Estimation | 1.2.5 |
mvLSWimpute Imputation Methods for Multivariate Locally Stationary Time Series | 0.1.1 |
mvMAPIT Multivariate Genome Wide Marginal Epistasis Test | 2.0.3 |
mvmesh Multivariate Meshes and Histograms in Arbitrary Dimensions | 1.6 |
mvmeta Multivariate and Univariate Meta-Analysis and Meta-Regression | 1.0.3 |
mvMISE A General Framework of Multivariate Mixed-Effects Selection Models | 1.0 |
mvMonitoring Multi-State Adaptive Dynamic Principal Component Analysis for Multivariate Process Monitoring | 0.2.4 |
mvMORPH Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data | 1.2.1 |
MVN Multivariate Normality Tests | 5.9 |
mvna Nelson-Aalen Estimator of the Cumulative Hazard in Multistate Models | 2.0.1 |
MVNBayesian Bayesian Analysis Framework for MVN (Mixture) Distribution | 0.0.8-11 |
mvnfast Fast Multivariate Normal and Student's t Methods | 0.2.8 |
mvngGrAd Moving Grid Adjustment in Plant Breeding Field Trials | 0.1.6 |
mvnimpute Simultaneously Impute the Missing and Censored Values | 1.0.1 |
mvnmle ML Estimation for Multivariate Normal Data with Missing Values | 0.1-11.2 |
mvnormalTest Powerful Tests for Multivariate Normality | 1.0.0 |
mvnormtest Normality Test for Multivariate Variables | 0.1-9-3 |
mvnpermute Generate New Multivariate Normal Samples from Permutations | 1.0.1 |
mvnTest Goodness of Fit Tests for Multivariate Normality | 1.1-0 |
MVNtestchar Test for Multivariate Normal Distribution Based on a Characterization | 1.1.3 |
mvord Multivariate Ordinal Regression Models | 1.2.5 |
mvoutlier Multivariate Outlier Detection Based on Robust Methods | 2.1.1 |
mvp Fast Symbolic Multivariate Polynomials | 1.0-14 |
MVPBT Publication Bias Tests for Meta-Analysis of Diagnostic Accuracy Test | 1.2-1 |
mvpd Multivariate Product Distributions for Elliptically Contoured Distributions | 0.0.4 |
mvPot Multivariate Peaks-over-Threshold Modelling for Spatial Extreme Events | 0.1.6 |
mvProbit Multivariate Probit Models | 0.1-10 |
mvQuad Methods for Multivariate Quadrature | 1.0-8 |
MVQuickGraphs Quick Multivariate Graphs | 0.1.2 |
MVR Mean-Variance Regularization | 1.33.0 |
mvrsquared Compute the Coefficient of Determination for Vector or Matrix Outcomes | 0.1.5 |
mvs Methods for High-Dimensional Multi-View Learning | 2.0.0 |
mvShapiroTest Generalized Shapiro-Wilk test for multivariate normality | 1.0 |
mvSLOUCH Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses | 2.7.6 |
mvst Bayesian Inference for the Multivariate Skew-t Model | 1.1.1 |
mvSUSY Multivariate Surrogate Synchrony | 0.1.0 |
MVT Estimation and Testing for the Multivariate t-Distribution | 0.3-81 |
MVTests Multivariate Hypothesis Tests | 2.2.2 |
mvtmeta Multivariate Meta-Analysis | 1.1 |
mvtnorm Multivariate Normal and t Distributions | 1.3-2 |
mvtsplot Multivariate Time Series Plot | 1.0-5 |
mvvg Matrix-Variate Variance-Gamma Distribution | 0.1.0 |
mwa Causal Inference in Spatiotemporal Event Data | 0.4.4 |
mwcsr Solvers for Maximum Weight Connected Subgraph Problem and Its Variants | 0.1.9 |
mwlaxeref Cross-References Lake Identifiers Between Different Data Sets | 0.0.1 |
MWright Mainardi-Wright Family of Distributions | 0.3.2 |
mwshiny 'Shiny' for Multiple Windows | 2.1.0 |
mwTensor Multi-Way Component Analysis | 1.1.0 |
mxcc Maxwell Control Charts | 0.0.1 |
mxfda A Functional Data Analysis Package for Spatial Single Cell Data | 0.2.2 |
mxkssd Efficient Mixed-Level k-Circulant Supersaturated Designs | 1.2 |
MXM Feature Selection (Including Multiple Solutions) and Bayesian Networks | 1.5.5 |
mxmmod Measurement Model of Derivatives in 'OpenMx' | 1.1.0 |
mxnorm Apply Normalization Methods to Multiplexed Images | 1.0.3 |
mxsem Specify 'OpenMx' Models with a 'lavaan'-Style Syntax | 0.1.0 |
My.stepwise Stepwise Variable Selection Procedures for Regression Analysis | 0.1.0 |
mycaas My Computerized Adaptive Assessment | 0.0.1 |
Mychisq Chi-Squared Test for Goodness of Fit and Independence Test | 0.1.3 |
myClim Microclimatic Data Processing | 1.3.0 |
mycobacrvR Integrative Immunoinformatics for Mycobacterial Diseases in R Platform | 1.1 |
mycor Automatic Correlation and Regression Test in a 'data.frame' | 0.1.1 |
myCRAN Graph of Daily and Cumulative Downloads of your Packages | 1.1 |
myTAI Evolutionary Transcriptomics | 0.9.3 |
mzipmed Mediation using MZIP Model | 1.4.0 |
n1qn1 Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization | 6.0.1-12 |
N2H4 Handling Methods for Naver News Text Crawling | 0.8.4 |
N2R Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library | 1.0.3 |
na.tools Comprehensive Library for Working with Missing (NA) Values in Vectors | 0.3.1 |
naaccr Read Cancer Records in the NAACCR Format | 3.1.1 |
nabor Wraps 'libnabo', a Fast K Nearest Neighbour Library for Low Dimensions | 0.5.0 |
NAC Network-Adjusted Covariates for Community Detection | 0.1.0 |
NACHO NanoString Quality Control Dashboard | 2.0.6 |
NADA Nondetects and Data Analysis for Environmental Data | 1.6-1.1 |
NADA2 Data Analysis for Censored Environmental Data | 1.1.8 |
NADIA NA Data Imputation Algorithms | 0.4.2 |
nadiv (Non)Additive Genetic Relatedness Matrices | 2.18.0 |
NAEPirtparams IRT Parameters for the National Assessment of Education Progress | 1.0.0 |
NAEPprimer The NAEP Primer | 1.0.1 |
naflex Flexible Options for Handling Missing Values | 0.1.1 |
naijR Operations to Ease Data Analyses Specific to Nigeria | 0.6.1 |
NaileR Interpreting Latent Variables with AI | 1.2.1 |
NAIR Network Analysis of Immune Repertoire | 1.0.4 |
naive Empirical Extrapolation of Time Feature Patterns | 1.2.3 |
naivebayes High Performance Implementation of the Naive Bayes Algorithm | 1.0.0 |
naivereg Nonparametric Additive Instrumental Variable Estimator and Related IV Methods | 1.0.5 |
nakagami Functions for the Nakagami Distribution | 1.1.0 |
NAM Nested Association Mapping | 1.7.3 |
name Tools for Working with Names | 0.0.1 |
namedropR Create Visual Citations for Presentations and Posters | 2.4.1 |
NameNeedle Using Needleman-Wunsch to Match Sample Names | 1.2.7 |
namer Names Your 'R Markdown' Chunks | 0.1.8 |
nametagger Named Entity Recognition in Texts using 'NameTag' | 0.1.3 |
nandb Number and Brightness Image Analysis | 2.1.0 |
naniar Data Structures, Summaries, and Visualisations for Missing Data | 1.1.0 |
nanoarrow Interface to the 'nanoarrow' 'C' Library | 0.6.0 |
nanonext NNG (Nanomsg Next Gen) Lightweight Messaging Library | 1.4.0 |
nanoparquet Read and Write 'Parquet' Files | 0.3.1 |
nanostringr Performs Quality Control, Data Normalization, and Batch Effect Correction for 'NanoString nCounter' Data | 0.4.2 |
nanotime Nanosecond-Resolution Time Support for R | 0.3.10 |
NAP Non-Local Alternative Priors in Psychology | 1.1 |
naptanr Call the 'NaPTAN' API Through R | 1.0.1 |
naptime A Flexible and Robust Sys.sleep() Replacement | 1.3.0 |
nardl Nonlinear Cointegrating Autoregressive Distributed Lag Model | 0.1.6 |
narray Subset- And Name-Aware Array Utility Functions | 0.5.1 |
naryn Native Access Medical Record Retriever for High Yield Analytics | 2.6.30 |
nasadata Interface to Various NASA API's | 0.9.0 |
nasapower NASA POWER API Client | 4.2.1 |
nasaweather Collection of datasets from the ASA 2006 data expo | 0.1 |
nascaR.data NASCAR Race Data | 1.0.0 |
NasdaqDataLink API Wrapper for Nasdaq Data Link | 1.0.0 |
naspaclust Nature-Inspired Spatial Clustering | 0.2.1 |
nat NeuroAnatomy Toolbox for Analysis of 3D Image Data | 1.8.24 |
nat.nblast NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron Similarity and Clustering | 1.6.7 |
nat.templatebrains NeuroAnatomy Toolbox ('nat') Extension for Handling Template Brains | 1.1 |
nat.utils File System Utility Functions for 'NeuroAnatomy Toolbox' | 0.6.1 |
natcpp Fast C++ Primitives for the 'NeuroAnatomy Toolbox' | 0.1.0 |
natmanager Install the 'Natverse' Packages from Scratch | 0.5.1 |
NatParksPalettes Color Palettes Inspired by National Parks | 0.2.0 |
natserv 'NatureServe' Interface | 1.0.0 |
natstrat Obtain Unweighted Natural Strata that Balance Many Covariates | 2.0.0 |
natural Estimating the Error Variance in a High-Dimensional Linear Model | 0.9.0 |
naturaList Classify Occurrences by Confidence Levels in the Species ID | 0.5.2 |
naturalsort Natural Ordering | 0.1.3 |
NatureSounds Animal Sounds for Bioacustic Analysis | 1.0.4 |
navigation Analyze the Impact of Sensor Error Modelling on Navigation Performance | 0.0.1 |
navigatr Navigation Menu for Pipe-Friendly Data Processing | 0.2.1 |
nawtilus Navigated Weighting for the Inverse Probability Weighting | 0.1.4 |
NB.MClust Negative Binomial Model-Based Clustering | 1.1.1 |
NBAloveR Help Basketball Data Analysis | 0.1.3.3 |
nbapalettes An NBA Jersey Palette Generator | 0.1.0 |
NBBDesigns Neighbour Balanced Block Designs (NBBDesigns) | 1.1.0 |
nbc4va Bayes Classifier for Verbal Autopsy Data | 1.2 |
NbClust Determining the Best Number of Clusters in a Data Set | 3.0.1 |
nbconv Evaluate Arbitrary Negative Binomial Convolutions | 1.0.1 |
nbconvertR Vignette Engine Wrapping Jupyter Notebooks | 1.3.2 |
NBDdirichlet NBD-Dirichlet Model of Consumer Buying Behavior for Marketing Research | 1.4 |
NBDesign Design and Monitoring of Clinical Trials with Negative Binomial Endpoint | 2.0.0 |
nberwp NBER Working Papers | 1.2.0 |
nbfar Negative Binomial Factor Regression Models ('nbfar') | 0.1 |
NBLDA Negative Binomial Linear Discriminant Analysis | 1.0.1 |
nblR Data Extraction of Australian NBL Basketball Statistics | 0.0.4 |
nbody Gravitational N-Body Simulation | 1.41 |
nbpMatching Functions for Optimal Non-Bipartite Matching | 1.5.6 |
NBPSeq Negative Binomial Models for RNA-Sequencing Data | 0.3.1 |
NBR Network-Based R-Statistics using Mixed Effects Models | 0.1.5 |
NBShiny Interactive Document for Working with Naive Bayes Classification | 0.1.0 |
NBShiny2 Interactive Document for Working with Naive Bayes Classification | 0.1.0 |
NBShiny3 Interactive Document for Working with Naive Bayes Classification | 0.1.0 |
nbTransmission Naive Bayes Transmission Analysis | 1.1.4 |
NBtsVarSel Variable Selection in a Specific Regression Time Series of Counts | 1.0 |
nc Named Capture to Data Tables | 2024.9.20 |
NCA Necessary Condition Analysis | 4.0.2 |
ncappc NCA Calculations and Population Model Diagnosis | 0.3.0 |
ncar Noncompartmental Analysis for Pharmacokinetic Report | 0.5.0 |
ncbit Retrieve and Build NBCI Taxonomic Data | 2013.03.29.1 |
NCC Simulation and Analysis of Platform Trials with Non-Concurrent Controls | 1.0 |
ncdf4 Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files | 1.23 |
ncdf4.helpers Helper Functions for Use with the 'ncdf4' Package | 0.3-6 |
ncdfCF Easy Access to NetCDF Files with CF Metadata Conventions | 0.2.1 |
ncdfgeom 'NetCDF' Geometry and Time Series | 1.1.6 |
ncdump Extract Metadata from 'NetCDF' Files as Data Frames | 0.0.3 |
ncf Spatial Covariance Functions | 1.3-2 |
ncmeta Straightforward 'NetCDF' Metadata | 0.4.0 |
NCmisc Miscellaneous Functions for Creating Adaptive Functions and Scripts | 1.2.0 |
ncodeR Techniques for Automated Classifiers | 0.2.0.1 |
ncpen Unified Algorithm for Non-convex Penalized Estimation for Generalized Linear Models | 1.0.0 |
NCSampling Nearest Centroid (NC) Sampling | 1.0 |
NCSCopula Non-Central Squared Copula Models Estimation | 1.0.1 |
NCutYX Clustering of Omics Data of Multiple Types with a Multilayer Network Representation | 0.1.0 |
ncvreg Regularization Paths for SCAD and MCP Penalized Regression Models | 3.14.3 |
nda Generalized Network-Based Dimensionality Reduction and Analysis | 0.1.15 |
ndi Neighborhood Deprivation Indices | 0.1.5 |
ndjson Wicked-Fast Streaming 'JSON' ('ndjson') Reader | 0.9.0 |
ndl Naive Discriminative Learning | 0.2.18 |
NDP Interactive Presentation for Working with Normal Distribution | 0.1.0 |
ndtv Network Dynamic Temporal Visualizations | 0.13.4 |
nearfar Near-Far Matching | 1.3 |
neat Efficient Network Enrichment Analysis Test | 1.2.4 |
neatmaps Heatmaps for Multiple Network Data | 2.1.0 |
neatR Neat Data for Presentation | 0.2.0 |
neatRanges Tidy Up Date/Time Ranges | 0.1.4 |
neatStats Neat and Painless Statistical Reporting | 1.13.3 |
nebula Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data | 1.5.3 |
Necklaces Necklaces and Bracelets | 1.0 |
necountries Countries of the World | 0.1-1 |
needmining A Simple Needmining Implementation | 0.1.1 |
needs Attaches and Installs Packages | 0.0.3 |
NegativeControlOutcomeAdjustment Estimation of Vaccine Efficacy using Negative Control Outcomes | 0.0.6 |
NegBinBetaBinreg Negative Binomial and Beta Binomial Bayesian Regression Models | 1.0 |
negenes Estimating the Number of Essential Genes in a Genome | 1.0-12 |
negligible A Collection of Functions for Negligible Effect/Equivalence Testing | 0.1.9 |
Neighboot Neighborhood Bootstrap Method for RDS | 1.0.1 |
neighbours Neighbourhood Functions for Local-Search Algorithms | 0.1-3 |
neighbr Classification, Regression, Clustering with K Nearest Neighbors | 1.0.3 |
neldermead R Port of the 'Scilab' Neldermead Module | 1.0-12 |
nemBM Using Network Evolution Models to Generate Networks with Selected Blockmodel Type | 1.00.01 |
nemtr Nonparametric Extended Median Test - Cumulative Summation Method | 0.0.1.0 |
neo2R Neo4j to R | 2.4.2 |
neo4jshell Querying and Managing 'Neo4J' Databases in 'R' | 0.1.2 |
neo4r A 'Neo4J' Driver | 0.1.1 |
neodistr Neo-Normal Distribution | 0.1.1 |
neojags Neo-Normal Distributions Family for Markov Chain Monte Carlo (MCMC) Models in 'JAGS' | 0.1.5 |
NEONiso Tools to Calibrate and Work with NEON Atmospheric Isotope Data | 0.7.0 |
neonOS Basic Data Wrangling for NEON Observational Data | 1.1.0 |
neonPlantEcology Process NEON Plant Data for Ecological Analysis | 1.6.1 |
neonSoilFlux Compute Soil Carbon Fluxes for the National Ecological Observatory Network Sites | 1.0.0 |
neonstore NEON Data Store | 0.5.1 |
neonUtilities Utilities for Working with NEON Data | 2.4.3 |
neotoma2 Working with the Neotoma Paleoecology Database | 1.0.5 |
nephro Utilities for Nephrology | 1.4 |
NEpiC Network Assisted Algorithm for Epigenetic Studies Using Mean and Variance Combined Signals | 1.0.1 |
neptune MLOps Metadata Store - Experiment Tracking and Model Registry for Production Teams | 0.2.3 |
nesRdata National Eutrophication Survey Data | 0.3.1 |
nestcolor Colors for NEST Graphs | 0.1.2 |
NestedCategBayesImpute Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations | 1.2.1 |
nestedcv Nested Cross-Validation with 'glmnet' and 'caret' | 0.7.12 |
nestedLogit Nested Dichotomy Logistic Regression Models | 0.3.2 |
NestedMenu A Nested Menu Widget for 'Shiny' Applications | 0.2.0 |
nestedmodels Tidy Modelling for Nested Data | 1.1.0 |
nestedpp Performance Profiles and Nested Performance Profiles | 0.2.0 |
nestfs Cross-Validated (Nested) Forward Selection | 1.0.3 |
NestMRMC Single Reader Between-Cases AUC Estimator in Nested Data | 1.0 |
nestr Build Nesting or Hierarchical Structures | 0.1.2 |
net4pg Handle Ambiguity of Protein Identifications from Shotgun Proteomics | 0.1.1 |
netassoc Inference of Species Associations from Co-Occurrence Data | 0.7.0 |
netClust Model-Based Clustering of Network Data | 1.0.1 |
NetCluster Clustering for networks | 0.2 |
netcmc Spatio-Network Generalised Linear Mixed Models for Areal Unit and Network Data | 1.0.2 |
netCoin Interactive Analytic Networks | 2.0.84 |
netcom NETwork COMparison Inference | 2.1.7 |
netcontrol Control Theory Methods for Networks | 0.1 |
NetCoupler Inference of Causal Links Between a Network and an External Variable | 0.1.0 |
netcox Structural Learning in Cox Models with Time-Dependent Covariates | 1.0.1 |
NetDA Network-Based Discriminant Analysis Subject to Multi-Label Classes | 0.2.0 |
netdiffuseR Analysis of Diffusion and Contagion Processes on Networks | 1.22.6 |
NetExplorer Network Explorer | 0.0.2 |
NetFACS Network Applications to Facial Communication Data | 0.5.0 |
netgsa Network-Based Gene Set Analysis | 4.0.5 |
netgwas Network-Based Genome Wide Association Studies | 1.14.3 |
netie Antigen T Cell Interaction Estimation | 1.0 |
NetIndices Estimating Network Indices, Including Trophic Structure of Foodwebs in R | 1.4.4.1 |
NetInt Methods for Unweighted and Weighted Network Integration | 1.0.0 |
NetLogoR Build and Run Spatially Explicit Agent-Based Models | 1.0.5 |
netmap Represent Network Objects on a Map | 0.1.4 |
netmediate Micro-Macro Analysis for Social Networks | 1.0.1 |
netmeta Network Meta-Analysis using Frequentist Methods | 2.9-0 |
netmhc2pan Interface to 'NetMHCIIpan' | 1.3.2 |
NetMix Dynamic Mixed-Membership Network Regression Model | 0.2.0.2 |
NetOrigin Origin Estimation for Propagation Processes on Complex Networks | 1.1-6 |
netplot Beautiful Graph Drawing | 0.3-0 |
NetPreProc Network Pre-Processing and Normalization | 1.2 |
netrankr Analyzing Partial Rankings in Networks | 1.2.3 |
netregR Regression of Network Responses | 1.0.1 |
NetRep Permutation Testing Network Module Preservation Across Datasets | 1.2.7 |
netropy Statistical Entropy Analysis of Network Data | 0.2.0 |
nets Network Estimation for Time Series | 0.9.1 |
NetSci Calculates Basic Network Measures Commonly Used in Network Medicine | 1.0.1 |
netseer Graph Prediction from a Graph Time Series | 0.1.1 |
netseg Measures of Network Segregation and Homophily | 1.0-2 |
netSEM Network Structural Equation Modeling | 0.6.2 |
netShiny Tool for Comparison and Visualization of Multiple Networks | 1.0 |
NetSimR Actuarial Functions for Non-Life Insurance Modelling | 0.1.5 |
netstat Retrieve Network Statistics Including Available TCP Ports | 0.1.2 |
NetSwan Network Strengths and Weaknesses Analysis | 0.1 |
nett Network Analysis and Community Detection | 1.0.0 |
nettskjemar Connect to the 'nettskjema.no' API of the University of Oslo | 0.1.4 |
netUtils A Collection of Tools for Network Analysis | 0.8.3 |
NetWeaver Graphic Presentation of Complex Genomic and Network Data Analysis | 0.0.6 |
network Classes for Relational Data | 1.19.0 |
networkABC Network Reverse Engineering with Approximate Bayesian Computation | 0.8-1 |
NetworkChange Bayesian Package for Network Changepoint Analysis | 0.8 |
NetworkComparisonTest Statistical Comparison of Two Networks Based on Several Invariance Measures | 2.2.2 |
NetworkComparr Statistical Comparison of Networks | 0.0.0.9 |
networkD3 D3 JavaScript Network Graphs from R | 0.4 |
NetworkDistance Distance Measures for Networks | 0.3.4 |
networkDynamic Dynamic Extensions for Network Objects | 0.11.5 |
networkDynamicData Dynamic (Longitudinal) Network Datasets | 0.2.1 |
NetworkExtinction Extinction Simulation in Ecological Networks | 1.0.3 |
networkGen Network Maze Generator | 0.1.1 |
NetworkInference Inferring Latent Diffusion Networks | 1.2.4 |
networkLite An Simplified Implementation of the 'network' Package Functionality | 1.0.5 |
networkR Network Analysis and Visualization | 0.1.2 |
NetworkReg Generalized Linear Regression Models on Network-Linked Data with Statistical Inference | 2.0 |
NetworkRiskMeasures Risk Measures for (Financial) Networks | 0.1.4 |
networkscaleup Network Scale-Up Models for Aggregated Relational Data | 0.1-2 |
NetworkToolbox Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis | 1.4.2 |
networktools Tools for Identifying Important Nodes in Networks | 1.5.2 |
networktree Recursive Partitioning of Network Models | 1.0.1 |
NeuralEstimators Likelihood-Free Parameter Estimation using Neural Networks | 0.1.1 |
neuralGAM Interpretable Neural Network Based on Generalized Additive Models | 1.1.1 |
neuralnet Training of Neural Networks | 1.44.2 |
NeuralNetTools Visualization and Analysis Tools for Neural Networks | 1.5.3 |
NeuralSens Sensitivity Analysis of Neural Networks | 1.1.3 |
neurobase 'Neuroconductor' Base Package with Helper Functions for 'nifti' Objects | 1.32.4 |
neuroblastoma Neuroblastoma Copy Number Profiles | 2023.9.3 |
neurocInstall 'Neuroconductor' Installer | 0.12.0 |
NeuroDecodeR Decode Information from Neural Activity | 0.2.0 |
neurohcp Human 'Connectome' Project Interface | 0.9.0 |
neuroim Data Structures and Handling for Neuroimaging Data | 0.0.6 |
neuroimaGene Transcriptomic Atlas of Neuroimaging Derived Phenotypes | 0.1.2 |
neuromplex Neural Multiplexing Analysis | 1.0-1 |
neuronorm Preprocessing of Structural MRI for Multiple Neurodegenerative Diseases | 1.0.2 |
neuRosim Simulate fMRI Data | 0.2-14 |
neuroUp Plan Sample Size for Task fMRI Research using Bayesian Updating | 0.3.1 |
neutralitytestr Test for a Neutral Evolutionary Model in Cancer Sequencing Data | 0.0.3 |
neutrostat Neutrosophic Statistics | 0.0.2 |
nevada Network-Valued Data Analysis | 0.2.0 |
neverhpfilter An Alternative to the Hodrick-Prescott Filter | 0.4-0 |
new.dist Alternative Continuous and Discrete Distributions | 0.1.1 |
Newdistns Computes Pdf, Cdf, Quantile and Random Numbers, Measures of Inference for 19 General Families of Distributions | 2.1 |
newFocus True Discovery Guarantee by Combining Partial Closed Testings | 1.1 |
newIMVC A Robust Integrated Mean Variance Correlation | 0.1.0 |
NewmanOmics Extending the Newman Studentized Range Statistic to Transcriptomics | 1.0.11 |
newsanchor Client for the News API | 0.1.1 |
newscatcheR Programmatically Collect Normalized News from (Almost) Any Website | 0.1.2 |
newsmap Semi-Supervised Model for Geographical Document Classification | 0.9.0 |
newsmd Creation of NEWS.md File | 0.5.1 |
newTestSurvRec Statistical Tests to Compare Curves with Recurrent Events | 1.0.2 |
nextGenShinyApps Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools | 2.1 |
nexus Sourcing Archaeological Materials by Chemical Composition | 0.3.0 |
nFactors Parallel Analysis and Other Non Graphical Solutions to the Cattell Scree Test | 2.4.1.1 |
NFCP N-Factor Commodity Pricing Through Term Structure Estimation | 1.2.1 |
nfer Event Stream Abstraction using Interval Logic | 1.1.3 |
nfl4th Functions to Calculate Optimal Fourth Down Decisions in the National Football League | 1.0.4 |
nflfastR Functions to Efficiently Access NFL Play by Play Data | 5.0.0 |
nflplotR NFL Logo Plots in 'ggplot2' and 'gt' | 1.4.0 |
nflreadr Download 'nflverse' Data | 1.4.1 |
nflseedR Functions to Efficiently Simulate and Evaluate NFL Seasons | 1.2.0 |
NFLSimulatoR Simulating Plays and Drives in the NFL | 0.4.0 |
nflverse Easily Install and Load the 'nflverse' | 1.0.3 |
nftbart Nonparametric Failure Time Bayesian Additive Regression Trees | 2.1 |
nFunNN Nonlinear Functional Principal Component Analysis using Neural Networks | 1.0 |
NFWdist The Standard Distribution Functions for the 3D NFW Profile | 0.1.0 |
ngboostForecast Probabilistic Time Series Forecasting | 0.1.1 |
NGBVS Bayesian Variable Selection for SNP Data using Normal-Gamma | 0.3.0 |
NGCHM Next Generation Clustered Heat Maps | 1.0.3 |
NGLVieweR Interactive 3D Visualization of Molecular Structures | 1.4.0 |
ngram Fast n-Gram 'Tokenization' | 3.2.3 |
ngramr Retrieve and Plot Google n-Gram Data | 1.9.3 |
ngramrr A Simple General Purpose N-Gram Tokenizer | 0.2.0 |
ngspatial Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data | 1.2-2 |
NHANES Data from the US National Health and Nutrition Examination Study | 2.1.0 |
nhanesA NHANES Data Retrieval | 1.1 |
nhdplusTools NHDPlus Tools | 1.2.1 |
nhdR Tools for Working with the National Hydrography Dataset | 0.6.1 |
nhlapi A Minimum-Dependency 'R' Interface to the 'NHL' API | 0.1.4 |
NHLData Scores for Every Season Since the Founding of the NHL in 1917 | 1.0.0 |
nhm Non-Homogeneous Markov and Hidden Markov Multistate Models | 0.1.1 |
NHPoisson Modelling and Validation of Non Homogeneous Poisson Processes | 3.3 |
nhppp Simulating Nonhomogeneous Poisson Point Processes | 1.0.0 |
nhs.predict Breast Cancer Survival and Therapy Benefits | 1.4.0 |
NHSDataDictionaRy NHS Data Dictionary Toolset for NHS Lookups | 1.2.5 |
nhsnumber Tools for Working with NHS Number Checksums | 0.1.2 |
NHSRdatasets NHS and Healthcare-Related Data for Education and Training | 0.3.0 |
NHSRplotthedots Draw XmR Charts for NHSE/I 'Making Data Count' Programme | 0.1.0 |
nhstplot Plot Null Hypothesis Significance Tests | 1.3.0 |
niaidMI Markov Model Multiple Imputation for NIAID OS | 1.1.0 |
niarules Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms | 0.1.0 |
nic Nature Inspired Colours | 0.0.2 |
nice Get or Set UNIX Niceness | 0.4-2 |
NicheBarcoding Niche-model-Based Species Identification | 1.0 |
nicheROVER Niche Region and Niche Overlap Metrics for Multidimensional Ecological Niches | 1.1.2 |
nichetools Complementary Package to 'nicheROVER' and 'SIBER' | 0.3.2 |
nichevol Tools for Ecological Niche Evolution Assessment Considering Uncertainty | 0.1.20 |
nieve Miscellaneous Utilities for Extreme Value Analysis | 0.1.3 |
nifti.io Read and Write NIfTI Files | 1.0.0 |
nifti.pbcor Parcel-Based Correlation Between NIfTI Images | 1.0 |
NightDay Night and Day Boundary Plot Function | 1.0.1.1 |
nilde Nonnegative Integer Solutions of Linear Diophantine Equations with Applications | 1.1-7 |
NiLeDAM Monazite Dating for the NiLeDAM Team | 0.3 |
nima Nima Hejazi's R Toolbox | 0.6.2 |
NIMAA Nominal Data Mining Analysis | 0.2.1 |
nimble MCMC, Particle Filtering, and Programmable Hierarchical Modeling | 1.2.1 |
nimbleAPT Adaptive Parallel Tempering for 'NIMBLE' | 1.0.6 |
nimbleCarbon Bayesian Analyses of Radiocarbon Dates with NIMBLE | 0.2.5 |
nimbleEcology Distributions for Ecological Models in 'nimble' | 0.5.0 |
nimbleHMC Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling Algorithms for 'nimble' | 0.2.2 |
nimbleNoBounds Transformed Distributions for Improved MCMC Efficiency | 1.0.3 |
nimbleSCR Spatial Capture-Recapture (SCR) Methods Using 'nimble' | 0.2.1 |
nimbleSMC Sequential Monte Carlo Methods for 'nimble' | 0.11.1 |
nipals Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization | 1.0 |
nipnTK National Information Platforms for Nutrition Anthropometric Data Toolkit | 0.2.0 |
NipponMap Japanese Map Data and Functions | 0.2 |
NIPTeR Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal Testing | 1.0.2 |
NIRStat Novel Statistical Methods for Studying Near-Infrared Spectroscopy (NIRS) Time Series Data | 1.1 |
NISTnls Nonlinear least squares examples from NIST | 0.9-13 |
NISTunits Fundamental Physical Constants and Unit Conversions from NIST | 1.0.1 |
NitrogenUptake2016 Data and Source Code From: Nitrogen Uptake and Allocation Estimates for Spartina Alterniflora and Distichlis Spicata | 0.2.3 |
nivm Noninferiority Tests with Variable Margins | 0.5 |
nixmass Snow Water Equivalent Modeling with the 'Delta.snow' Model and Empirical Regression Models | 1.0.2 |
nixtlar A Software Development Kit for 'Nixtla''s 'TimeGPT' | 0.6.2 |
njgeo Tools for Geocoding Addresses in New Jersey using the 'NJOGIS' API | 0.1.0 |
nJira SQL Like Query Interface for 'Jira' | 0.1.1 |
njtr1 Download, Analyze & Clean New Jersey Car Crash Data | 0.3.2 |
NlcOptim Solve Nonlinear Optimization with Nonlinear Constraints | 0.6 |
nlcv Nested Loop Cross Validation | 0.3.5 |
nleqslv Solve Systems of Nonlinear Equations | 3.3.5 |
nlgm Non Linear Growth Models | 1.0 |
NlinTS Models for Non Linear Causality Detection in Time Series | 1.4.5 |
nlist Lists of Numeric Atomic Objects | 0.3.3 |
nlive Automated Estimation of Sigmoidal and Piecewise Linear Mixed Models | 0.6.0 |
nlme Linear and Nonlinear Mixed Effects Models | 3.1-166 |
nlmeU Datasets and Utility Functions Enhancing Functionality of 'nlme' Package | 0.70-9 |
nlmeVPC Visual Model Checking for Nonlinear Mixed Effect Model | 2.6 |
nlmixr2 Nonlinear Mixed Effects Models in Population PK/PD | 3.0.1 |
nlmixr2data Nonlinear Mixed Effects Models in Population PK/PD, Data | 2.0.9 |
nlmixr2est Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines | 3.0.2 |
nlmixr2extra Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions | 3.0.1 |
nlmixr2lib A Model Library for 'nlmixr2' | 0.3.0 |
nlmixr2plot Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions | 3.0.0 |
nlmixr2rpt Templated Word and PowerPoint Reporting of 'nlmixr2' Fitting Results | 0.2.0 |
nlmm Generalized Laplace Mixed-Effects Models | 1.1.0 |
nlmrt Functions for Nonlinear Least Squares Solutions | 2016.3.2 |
nlMS Non-Linear Model Selection | 1.1 |
nlnet Nonlinear Network, Clustering, and Variable Selection Based on DCOL | 1.4 |
nlopt Call Optimization Solvers with .nl Files | 0.1.1 |
nloptr R Interface to NLopt | 2.1.1 |
NLP Natural Language Processing Infrastructure | 0.3-2 |
NLPclient Stanford 'CoreNLP' Annotation Client | 1.0 |
nlpred Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples | 1.0.1 |
nlpsem Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework | 0.3 |
NLPutils Natural Language Processing Utilities | 0.0-5.1 |
nlraa Nonlinear Regression for Agricultural Applications | 1.9.7 |
nlreg Higher Order Inference for Nonlinear Heteroscedastic Models | 1.2-2.2 |
NLRoot searching for the root of equation | 1.0 |
nlrr Non-Linear Relative Risk Estimation and Plotting | 0.1 |
nlrx Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via 'XML' | 0.4.5 |
nls.multstart Robust Non-Linear Regression using AIC Scores | 1.3.0 |
nls2 Non-Linear Regression with Brute Force | 0.3-4 |
nlsem Fitting Structural Equation Mixture Models | 0.8-1 |
nlshrink Non-Linear Shrinkage Estimation of Population Eigenvalues and Covariance Matrices | 1.0.1 |
nlsic Non Linear Least Squares with Inequality Constraints | 1.0.4 |
nlsMicrobio Nonlinear Regression in Predictive Microbiology | 1.0-0 |
nlsmsn Fitting Nonlinear Models with Scale Mixture of Skew-Normal Distributions | 0.0-6 |
nlsr Functions for Nonlinear Least Squares Solutions - Updated 2022 | 2023.8.31 |
nlstac An R Package for Fitting Separable Nonlinear Models | 0.2.0 |
nlstools Tools for Nonlinear Regression Analysis | 2.1-0 |
NlsyLinks Utilities and Kinship Information for Research with the NLSY | 2.2.2 |
nlt A Nondecimated Lifting Transform for Signal Denoising | 2.2-1 |
nltm Non-Linear Transformation Models | 1.4.5 |
nlts Nonlinear Time Series Analysis | 1.0-2 |
nLTT Calculate the NLTT Statistic | 1.4.9 |
nlWaldTest Wald Test of Nonlinear Restrictions and Nonlinear CI | 1.1.3 |
NMA Network Meta-Analysis Based on Multivariate Meta-Analysis Models | 1.4-3 |
nmadb Network Meta-Analysis Database API | 1.2.0 |
NMADiagT Network Meta-Analysis of Multiple Diagnostic Tests | 0.1.2 |
nmaINLA Network Meta-Analysis using Integrated Nested Laplace Approximations | 1.1.0 |
NMAoutlier Detecting Outliers in Network Meta-Analysis | 0.1.18 |
nmaplateplot The Plate Plot for Network Meta-Analysis Results | 1.0.2 |
nmarank Complex Hierarchy Questions in Network Meta-Analysis | 0.3-0 |
nmathresh Thresholds and Invariant Intervals for Network Meta-Analysis | 0.1.6 |
NMcalc Basic Calculations for PK/PD Modeling | 0.0.4 |
NMdata Preparation, Checking and Post-Processing Data for PK/PD Modeling | 0.1.8 |
NMF Algorithms and Framework for Nonnegative Matrix Factorization (NMF) | 0.28 |
nmfbin Non-Negative Matrix Factorization for Binary Data | 0.2.1 |
NMFN Non-Negative Matrix Factorization | 2.0.1 |
NMI Normalized Mutual Information of Community Structure in Network | 2.0 |
Nmisc Miscellaneous Functions Used at 'Numeract LLC' | 0.3.7 |
Nmix Bayesian Inference on Univariate Normal Mixtures | 2.0.5 |
nmixgof Goodness of Fit Checks for Binomial N-Mixture Models | 0.1.0 |
NMMIPW Inverse Probability Weighting under Non-Monotone Missing | 0.1.0 |
NMOF Numerical Methods and Optimization in Finance | 2.10-1 |
NMRphasing Phase Error Correction and Baseline Correction for One Dimensional ('1D') 'NMR' Data | 1.0.5 |
nmrrr Binning and Visualizing NMR Spectra in Environmental Samples | 1.0.0 |
NMsim Seamless 'Nonmem' Simulation Platform | 0.1.5 |
nmslibR Non Metric Space (Approximate) Library | 1.0.7 |
NMTox Dose-Response Relationship Analysis of Nanomaterial Toxicity | 0.1.0 |
NMVANOVA Novice Model Variation ANOVA | 1.1.0 |
nmw Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics | 0.1.5 |
nn2poly Neural Network Weights Transformation into Polynomial Coefficients | 0.1.2 |
nna Nearest-Neighbor Analysis | 0.0.2.1 |
NNbenchmark Datasets and Functions to Benchmark Neural Network Packages | 3.2.0 |
nncc Nearest Neighbors Matching of Case-Control Data | 2.0.0 |
nndiagram Generator of 'LaTeX' Code for Drawing Neural Network Diagrams with 'TikZ' | 1.0.0 |
nnet Feed-Forward Neural Networks and Multinomial Log-Linear Models | 7.3-19 |
nnfor Time Series Forecasting with Neural Networks | 0.9.9 |
nnGarrote Non-Negative Garrote Estimation with Penalized Initial Estimators | 1.0.4 |
nngeo k-Nearest Neighbor Join for Spatial Data | 0.4.8 |
nnlasso Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models | 0.3 |
nnlib2Rcpp A Tool for Creating Custom Neural Networks in C++ and using Them in R | 0.2.9 |
nnls The Lawson-Hanson Algorithm for Non-Negative Least Squares (NNLS) | 1.6 |
NNMIS Nearest Neighbor Based Multiple Imputation for Survival Data with Missing Covariates | 1.0.1 |
nnR Neural Networks Made Algebraic | 0.1.0 |
NNS Nonlinear Nonparametric Statistics | 10.9.4 |
nnspat Nearest Neighbor Methods for Spatial Patterns | 0.1.2 |
nnt The Number Needed to Treat (NNT) for Survival Endpoint | 0.1.4 |
NNTbiomarker Calculate Design Parameters for Biomarker Validation Studies | 0.29.11 |
nnTensor Non-Negative Tensor Decomposition | 1.3.0 |
nntmvn Draw Samples of Truncated Multivariate Normal Distributions | 1.0.0 |
NO.PING.PONG Incorporating Previous Findings When Evaluating New Data | 0.1.8.7 |
noaaoceans Collect Ocean Data from NOAA | 0.3.0 |
noaastormevents Explore NOAA Storm Events Database | 0.2.0 |
noah Create Unique Pseudonymous Animal Names | 0.1.0 |
NobBS Nowcasting by Bayesian Smoothing | 1.0.0 |
noctua Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface) | 2.6.2 |
nodbi 'NoSQL' Database Connector | 0.11.0 |
node2vec Algorithmic Framework for Representational Learning on Graphs | 0.1.0 |
nodeSub Simulate DNA Alignments Using Node Substitutions | 1.2.8 |
nodiv Compares the Distribution of Sister Clades Through a Phylogeny | 1.4.2 |
noegletalR Tidy Tibbles of Noegletal | 0.2.1 |
nofrills Low-Cost Anonymous Functions | 0.3.2 |
noia Implementation of the Natural and Orthogonal InterAction (NOIA) Model | 0.97.3 |
noise Estimation of Intrinsic and Extrinsic Noise from Single-Cell Data | 1.0.2 |
noisemodel Noise Models for Classification Datasets | 1.0.2 |
noisyCE2 Cross-Entropy Optimisation of Noisy Functions | 1.1.0 |
noisyr Noise Quantification in High Throughput Sequencing Output | 1.0.0 |
noisySBM Noisy Stochastic Block Mode: Graph Inference by Multiple Testing | 0.1.4 |
noisysbmGGM Noisy Stochastic Block Model for GGM Inference | 0.1.2.3 |
nolock Append 'WITH (NOLOCK)' to 'SQL' Queries, Get Packages in Active Script | 1.1.0 |
nombre Number Names | 0.4.1 |
nomclust Hierarchical Cluster Analysis of Nominal Data | 2.8.0 |
nominatimlite Interface with 'Nominatim' API Service | 0.4.1 |
nomisr Access 'Nomis' UK Labour Market Data | 0.4.7 |
nomnoml Sassy 'UML' Diagrams | 0.3.0 |
nomogramEx Extract Equations from a Nomogram | 3.0 |
nomogramFormula Calculate Total Points and Probabilities for Nomogram | 1.2.0.0 |
NonCompart Noncompartmental Analysis for Pharmacokinetic Data | 0.7.0 |
noncompliance Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model | 0.2.2 |
noncomplyR Bayesian Analysis of Randomized Experiments with Non-Compliance | 1.0 |
nonet Weighted Average Ensemble without Training Labels | 0.4.0 |
nonLinearDotPlot Non Linear Dot Plots | 0.5.0 |
nonlinearICP Invariant Causal Prediction for Nonlinear Models | 0.1.2.1 |
NonlinearTSA Nonlinear Time Series Analysis | 0.5.0 |
nonlinearTseries Nonlinear Time Series Analysis | 0.3.1 |
nonmem2R Loading NONMEM Output Files with Functions for Visual Predictive Checks (VPC) and Goodness of Fit (GOF) Plots | 0.2.5 |
nonmem2rx Converts 'NONMEM' Models to 'rxode2' | 0.1.6 |
nonmemica Create and Evaluate NONMEM Models in a Project Context | 1.0.11 |
nonneg.cg Non-Negative Conjugate-Gradient Minimizer | 0.1.6-1 |
nonnest2 Tests of Non-Nested Models | 0.5-8 |
NonNorMvtDist Multivariate Lomax (Pareto Type II) and Its Related Distributions | 1.0.2 |
nonpar A Collection of Nonparametric Hypothesis Tests | 1.0.2 |
nonparaeff Nonparametric Methods for Measuring Efficiency and Productivity | 0.5-13 |
nonparametric.bayes Project Code - Nonparametric Bayes | 0.0.1 |
Nonpareil Metagenome Coverage Estimation and Projections for 'Nonpareil' | 3.5.3 |
NonParRolCor a Non-Parametric Statistical Significance Test for Rolling Window Correlation | 0.8.0 |
NonProbEst Estimation in Nonprobability Sampling | 0.2.4 |
nonprobsvy Inference Based on Non-Probability Samples | 0.1.1 |
nonsmooth Nonparametric Methods for Smoothing Nonsmooth Data | 1.0.0 |
nopaco Non-Parametric Concordance Coefficient | 1.0.9 |
nopp Nash Optimal Party Positions | 1.1.2 |
nor1mix Normal aka Gaussian 1-d Mixture Models | 1.3-3 |
nord Arctic Ice Studio's Nord and Group of Seven Inspired Colour Palettes for 'ggplot2' | 1.0.0 |
nordklimdata1 Dataset for Climate Analysis with Data from the Nordic Region | 1.2 |
norm Analysis of Multivariate Normal Datasets with Missing Values | 1.0-11.1 |
NORMA Builds General Noise SVRs | 0.1 |
normaliseR Re-Scale Vectors and Time-Series Features | 0.1.2 |
NormalityAssessment A Graphical User Interface for Testing Normality Visually | 0.1.0 |
normalize Centering and Scaling of Numeric Data | 0.1.0 |
normalizeH Normalize Hadamard Matrix | 1.0.0 |
NormalLaplace The Normal Laplace Distribution | 0.3-1 |
normalp Routines for Exponential Power Distribution | 0.7.2.1 |
normalr Normalisation of Multiple Variables in Large-Scale Datasets | 1.0.0 |
NormData Derivation of Regression-Based Normative Data | 1.1 |
NormExpression Normalize Gene Expression Data using Evaluated Methods | 0.1.1 |
normfluodbf Cleans and Normalizes FLUOstar DBF and DAT Files from 'Liposome' Flux Assays | 2.0.0 |
norMmix Direct MLE for Multivariate Normal Mixture Distributions | 0.2-0 |
NormPsy Normalisation of Psychometric Tests | 1.0.8 |
nortest Tests for Normality | 1.0-4 |
nortestARMA Neyman Smooth Tests of Normality for the Errors of ARMA Models | 1.0.2 |
nortsTest Assessing Normality of Stationary Process | 1.1.2 |
nos Compute Node Overlap and Segregation in Ecological Networks | 2.0.0 |
nosoi A Forward Agent-Based Transmission Chain Simulator | 1.1.2 |
NostalgiR Advanced Text-Based Plots | 1.0.2 |
not Narrowest-Over-Threshold Change-Point Detection | 1.6 |
notebookutils Dummy R APIs Used in 'Azure Synapse Analytics' for Local Developments | 1.5.3 |
notifyme Send Alerts to your Cellphone and Phillips Hue Lights | 0.3.0 |
NovelDistns Computes PDF, CDF, Quantile, Random Numbers and Measures of Inference for 3 General Families of Distributions | 0.1.0 |
novelforestSG Dataset from the Novel Forests of Singapore | 2.1.0 |
novelqualcodes Visualise the Path to a Stopping Point in Qualitative Interviews Based on Novel Codes | 0.13.1 |
NoviceDeveloperResources Resources to Assist Novice Developers | 1.2.0 |
NoviceDeveloperResources2 Further Resources to Assist Novice Developers | 1.1.0 |
noweb The 'noweb' System for R | 1.1-4 |
Nozzle.R1 Nozzle Reports | 1.1-1.1 |
np Nonparametric Kernel Smoothing Methods for Mixed Data Types | 0.60-18 |
nparACT Non-Parametric Measures of Actigraphy Data | 0.8 |
nparcomp Multiple Comparisons and Simultaneous Confidence Intervals | 3.0 |
nparLD Nonparametric Analysis of Longitudinal Data in Factorial Experiments | 2.2 |
nparMD Nonparametric Analysis of Multivariate Data in Factorial Designs | 0.2.1 |
nparsurv Nonparametric Tests for Main Effects, Simple Effects and Interaction Effect in a Factorial Design with Censored Data | 0.1.0 |
NPBayesImputeCat Non-Parametric Bayesian Multiple Imputation for Categorical Data | 0.5 |
npboottprm Nonparametric Bootstrap Test with Pooled Resampling | 0.3.2 |
npboottprmFBar Informative Nonparametric Bootstrap Test with Pooled Resampling | 0.2.0 |
npbr Nonparametric Boundary Regression | 1.8 |
NPCD Nonparametric Methods for Cognitive Diagnosis | 1.0-11 |
NPCDTools The Nonparametric Classification Methods for Cognitive Diagnosis | 1.0 |
NPCirc Nonparametric Circular Methods | 3.1.1 |
npclust Nonparametric Tests for Incomplete Clustered Data | 0.1.1 |
npcopTest Non Parametric Test for Detecting Changes in the Copula | 1.03 |
NPCox Nonparametric and Semiparametric Proportional Hazards Model | 1.3 |
npcp Some Nonparametric CUSUM Tests for Change-Point Detection in Possibly Multivariate Observations | 0.2-6 |
npcs Neyman-Pearson Classification via Cost-Sensitive Learning | 0.1.1 |
npcure Nonparametric Estimation in Mixture Cure Models | 0.1-5 |
npcurePK Mixture Cure Model Estimation with Cure Status Partially Known | 1.0-2 |
npde Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models | 3.5 |
npDoseResponse Nonparametric Estimation and Inference on Dose-Response Curves | 0.1 |
npExact Exact Nonparametric Hypothesis Tests for the Mean, Variance and Stochastic Inequality | 0.2 |
NPFD N-Power Fourier Deconvolution | 1.0.0 |
NPflow Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data | 0.13.5 |
nph Planning and Analysing Survival Studies under Non-Proportional Hazards | 2.1 |
NPHazardRate Nonparametric Hazard Rate Estimation | 0.1 |
NPHMC Sample Size Calculation for the Proportional Hazards Mixture Cure Model | 2.3 |
nphPower Sample Size Calculation under Non-Proportional Hazards | 1.1.0 |
nphRCT Non-Proportional Hazards in Randomized Controlled Trials | 0.1.1 |
npi Access the U.S. National Provider Identifier Registry API | 0.2.0 |
npIntFactRep Nonparametric Interaction Tests for Factorial Designs with Repeated Measures | 1.5 |
NPIstats Nonparametric Predictive Inference | 0.1.0 |
nplplot Plotting Linkage and Association Results | 4.7 |
nplr N-Parameter Logistic Regression | 0.1-7 |
nplyr A Grammar of Nested Data Manipulation | 0.2.0 |
npmlda Nonparametric Models for Longitudinal Data | 1.0.0 |
NPMLEcmprsk Type-Specific Failure Rate and Hazard Rate on Competing Risks Data | 3.0 |
npmlreg Nonparametric Maximum Likelihood Estimation for Random Effect Models | 0.46-5 |
npmr Nuclear Penalized Multinomial Regression | 1.3.1 |
npmv Nonparametric Comparison of Multivariate Samples | 2.4.0 |
npordtests Nonparametric Tests for Equality of Location Against Ordered Alternatives | 1.2 |
NPP Normalized Power Prior Bayesian Analysis | 0.6.0 |
nppbib Nonparametric Partially-Balanced Incomplete Block Design Analysis | 1.2-0 |
npphen Vegetation Phenological Cycle and Anomaly Detection using Remote Sensing Data | 2.0.0 |
NPRED Predictor Identifier: Nonparametric Prediction | 1.1.0 |
npreg Nonparametric Regression via Smoothing Splines | 1.1.0 |
npregderiv Nonparametric Estimation of the Derivatives of a Regression Function | 1.0 |
npregfast Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions | 1.5.2 |
nprobust Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation | 0.4.0 |
nproc Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves | 2.1.5 |
npROCRegression Kernel-Based Nonparametric ROC Regression Modelling | 1.0-7 |
nprotreg Nonparametric Rotations for Sphere-Sphere Regression | 1.1.1 |
npsf Nonparametric and Stochastic Efficiency and Productivity Analysis | 0.8.0 |
npsm Nonparametric Statistical Methods | 2.0.0 |
npsp Nonparametric Spatial Statistics | 0.7-13 |
npsurv Nonparametric Survival Analysis | 0.5-0 |
npsurvSS Sample Size and Power Calculation for Common Non-Parametric Tests in Survival Analysis | 1.1.0 |
nptest Nonparametric Bootstrap and Permutation Tests | 1.1 |
npwbs Nonparametric Multiple Change Point Detection Using WBS | 0.2.0 |
nrba Methods for Conducting Nonresponse Bias Analysis (NRBA) | 0.3.1 |
nRegression Simulation-Based Calculations of Sample Size for Linear and Logistic Regression | 0.5.1 |
NRejections Metrics for Multiple Testing with Correlated Outcomes | 1.2.0 |
nricens NRI for Risk Prediction Models with Time to Event and Binary Response Data | 1.6 |
NSAE Nonstationary Small Area Estimation | 0.4.0 |
nsarfima Methods for Fitting and Simulating Non-Stationary ARFIMA Models | 0.2.0.0 |
nscancor Non-Negative and Sparse CCA | 0.7.0-6 |
NScluster Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models | 1.3.6-1 |
nse Numerical Standard Errors Computation in R | 1.21 |
nseq Count of Sequential Events | 0.1.1 |
nser Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India | 1.5.3 |
nseval Tools for Lazy and Non-Standard Evaluation | 0.5.1 |
nsga2R Elitist Non-Dominated Sorting Genetic Algorithm | 1.1 |
nsga3 An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection | 0.0.3 |
NSM3 Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition | 1.19 |
nsm3data Datasets to Accompany Hollander, Wolfe, and Chicken NSM3 | 0.1 |
NSO1212 National Statistical Office of Mongolia's Open Data API Handler | 1.4.0 |
nsp Inference for Multiple Change-Points in Linear Models | 1.0.0 |
nspmix Nonparametric and Semiparametric Mixture Estimation | 1.5-0 |
nsprcomp Non-Negative and Sparse PCA | 0.5.1-2 |
NSR 'Native Status Resolver' | 0.1.0 |
nsRFA Non-Supervised Regional Frequency Analysis | 0.7-17 |
nsROC Non-Standard ROC Curve Analysis | 1.1 |
NST Normalized Stochasticity Ratio | 3.1.10 |
nswgeo Geospatial Data and Maps for New South Wales, Australia | 0.4.0 |
nsyllable Count Syllables in Character Vectors | 1.0.1 |
ntdr Retrieve Data from the National Transit Database | 0.4.0 |
ntfy Lightweight Wrapper to the 'ntfy.sh' Service | 0.0.6 |
NTLKwIEx Computation of NTLKwIEx Distribution Properties | 0.1.0 |
ntranova Two Way Neutrosophic ANOVA | 0.0.1 |
NTS Nonlinear Time Series Analysis | 1.1.3 |
ntsDatasets Neutrosophic Data Sets | 0.2.0 |
ntsDists Neutrosophic Distributions | 2.1.1 |
NTSS Nonparametric Tests in Spatial Statistics | 0.1.3 |
NU.Learning Nonparametric and Unsupervised Learning from Cross-Sectional Observational Data | 1.5 |
nucim Nucleome Imaging Toolbox | 1.0.11 |
NUCOMBog NUtrient Cycling and COMpetition Model Undisturbed Open Bog Ecosystems in a Temperate to Sub-Boreal Climate | 1.0.4.2 |
NUETON Nitrogen Use Efficiency Toolkit on Numerics | 0.1.0 |
nuggets Extensible Data Pattern Searching Framework | 1.3.0 |
nullabor Tools for Graphical Inference | 0.3.12 |
numbat Haplotype-Aware CNV Analysis from scRNA-Seq | 1.4.2 |
numberize Convert Words to Numbers in Multiple Languages | 1.0.1 |
numberofalleles Compute the Probability Distribution of the Number of Alleles in a DNA Mixture | 1.0.1 |
numbers Number-Theoretic Functions | 0.8-5 |
numbersBR Validate, Compare and Format Identification Numbers from Brazil | 0.0.2 |
numDeriv Accurate Numerical Derivatives | 2016.8-1.1 |
Numero Statistical Framework to Define Subgroups in Complex Datasets | 1.9.8 |
numform Tools to Format Numbers for Publication | 0.7.0 |
numGen Number Series Generator | 0.1.1 |
numKM Create a Kaplan-Meier Plot with Numbers at Risk | 0.2.0 |
numOSL Numeric Routines for Optically Stimulated Luminescence Dating | 2.8 |
NUSS Mixed N-Grams and Unigram Sequence Segmentation | 0.1.0 |
NutrienTrackeR Food Composition Information and Dietary Assessment | 1.3.0 |
nutriNetwork Structure Learning with Copula Graphical Model | 0.1.2 |
nutrition Useful Functions for People on a Diet | 1.1.0 |
nuts Convert European Regional Data | 1.1.0 |
NVAR Nonlinear Vector Autoregression Models | 0.1.0 |
NVCSSL Nonparametric Varying Coefficient Spike-and-Slab Lasso | 2.0 |
nvctr The n-vector Approach to Geographical Position Calculations using an Ellipsoidal Model of Earth | 0.1.4 |
nvmix Multivariate Normal Variance Mixtures | 0.1-1 |
nycflights13 Flights that Departed NYC in 2013 | 1.0.2 |
nycflights23 Flights and Other Useful Metadata for NYC Outbound Flights in 2023 | 0.1.0 |
nzelect New Zealand Election Data | 0.4.0 |
nzffdr Import, Clean and Update Data from the New Zealand Freshwater Fish Database | 2.1.0 |
nzilbb.labbcat Accessing Data Stored in 'LaBB-CAT' Instances | 1.3-0 |
nzpullover Driving Offences in New Zealand Between 2009 and 2016 | 0.3.0 |
o2geosocial Reconstruction of Transmission Chains from Surveillance Data | 1.1.3 |
o2plsda Multiomics Data Integration | 0.0.25 |
oaColors OpenAnalytics Colors Package | 0.0.4 |
oai General Purpose 'Oai-PMH' Services Client | 0.4.0 |
OAIHarvester Harvest Metadata Using OAI-PMH Version 2.0 | 0.3-5 |
oaii 'OpenAI' API R Interface | 0.5.0 |
oaPlots OpenAnalytics Plots Package | 0.0.25 |
oaqc Computation of the Orbit-Aware Quad Census | 2.0.0 |
Oarray Arrays with Arbitrary Offsets | 1.4-9 |
OasisR Outright Tool for the Analysis of Spatial Inequalities and Segregation | 3.1.1 |
oaxaca Blinder-Oaxaca Decomposition | 0.1.5 |
obAnalytics Limit Order Book Analytics | 0.1.1 |
OBASpatial Objective Bayesian Analysis for Spatial Regression Models | 1.9 |
obcost Obesity Cost Database | 0.1.0 |
obfuscatoR Obfuscation Game Designs | 0.2.2 |
OBIC Calculate the Open Bodem Index (OBI) Score | 3.0.3 |
objectProperties A Factory of Self-Describing Properties | 0.6.8 |
objectremover 'RStudio' Addin for Removing Objects from the Global Environment Based on Patterns and Object Type | 0.8.1 |
objectSignals Observer Pattern for S4 | 0.10.3 |
OBL Optimum Block Length | 0.2.1 |
oblicubes 3D Rendering Using Obliquely Projected Cubes and Cuboids | 0.1.2 |
obliqueRSF Oblique Random Forests for Right-Censored Time-to-Event Data | 0.1.2 |
OBMbpkg Estimate the Population Size for the Mb Capture-Recapture Model | 1.0.0 |
OBRE Optimal B-Robust Estimator Tools | 0.2-0 |
Observation Collect and Process Physical Activity Direct Observation Data | 0.3.0 |
observer Observe and Check your Data | 0.1.2 |
OBsMD Objective Bayesian Model Discrimination in Follow-Up Designs | 12.0 |
obsSens Sensitivity Analysis for Observational Studies | 1.4 |
oc Optimal Classification Roll Call Analysis Software | 1.2.1 |
OCA Optimal Capital Allocations | 0.5 |
occ Estimation of PET Neuroreceptor Occupancies | 1.2 |
occCite Querying and Managing Large Biodiversity Occurrence Datasets | 0.5.9 |
occumb Site Occupancy Modeling for Environmental DNA Metabarcoding | 1.1.0 |
occupancy Probability Functions for Occupancy Distributions | 1.2 |
occupationMeasurement Interactively Measure Occupations in Interviews and Beyond | 0.3.2 |
ocd High-Dimensional Multiscale Online Changepoint Detection | 1.1 |
oce Analysis of Oceanographic Data | 1.8-3 |
oceanexplorer Explore Our Planet's Oceans with NOAA | 0.1.0 |
oceanic Location Identify Tool | 0.1.7 |
oceanis Cartography for Statistical Analysis | 1.8.5 |
oceanmap A Plotting Toolbox for 2D Oceanographic Data | 0.1.6 |
OceanView Visualisation of Oceanographic Data and Model Output | 1.0.7 |
oceanwaves Ocean Wave Statistics | 0.2.0 |
oceCens Ordered Composite Endpoints with Censoring | 0.1.2 |
ocedata Oceanographic Data Sets for 'oce' Package | 0.2.2 |
ocf Ordered Correlation Forest | 1.0.1 |
ockc Order Constrained Solutions in k-Means Clustering | 1.1 |
oclust Gaussian Model-Based Clustering with Outliers | 0.2.0 |
OCNet Optimal Channel Networks | 1.2.2 |
ocp Bayesian Online Changepoint Detection | 0.1.1 |
ocs4R Interface to Open Collaboration Services (OCS) REST API | 0.2-3 |
OCSdata Download Data from the 'Open Case Studies' Repository | 1.0.2 |
octopucs Statistical Support for Hierarchical Clusters | 0.1.1 |
octopus A Database Management Tool | 0.4.2 |
octopusR Interact with the 'Octopus Energy' API | 1.0.1 |
od Manipulate and Map Origin-Destination Data | 0.5.1 |
ODataQuery Querying on 'OData' | 0.5.3 |
ODB Open Document Databases (.odb) Management | 1.2.1 |
odbc Connect to ODBC Compatible Databases (using the DBI Interface) | 1.5.0 |
odbr Download Data from Brazil's Origin Destination Surveys | 0.1.0 |
oddnet Anomaly Detection in Temporal Networks | 0.1.1 |
odds.converter Betting Odds Conversion | 1.4.8 |
odds.n.ends Odds Ratios, Contingency Table, and Model Significance from a Generalized Linear Model Object | 0.1.4 |
oddsapiR Access Live Sports Odds from the Odds API | 0.0.3 |
OddsPlotty Odds Plot to Visualise a Logistic Regression Model | 1.0.2 |
oddsratio Odds Ratio Calculation for GAM(M)s & GLM(M)s | 2.0.1 |
oddstream Outlier Detection in Data Streams | 0.5.0 |
odeGUTS Solve ODE for GUTS-RED-SD and GUTS-RED-IT Using Compiled Code | 1.0.3 |
ODEnetwork Network of Differential Equations | 1.3.2 |
ODEsensitivity Sensitivity Analysis of Ordinary Differential Equations | 1.1.2 |
odetector Outlier Detection Using Partitioning Clustering Algorithms | 1.0.1 |
odin ODE Generation and Integration | 1.2.6 |
odk Convert 'ODK' or 'XLSForm' to 'SPSS' Data Frame | 1.5 |
ODMeans OD-Means: k-Means for Origin-Destination | 0.2.1 |
odr Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects | 1.4.4 |
ODRF Oblique Decision Random Forest for Classification and Regression | 0.0.4 |
ODS Statistical Methods for Outcome-Dependent Sampling Designs | 0.2.0 |
ODT Optimal Decision Trees Algorithm | 1.0.0 |
OECD Search and Extract Data from the OECD | 0.2.5 |
OEFPIL Optimal Estimation of Function Parameters by Iterated Linearization | 0.1.1 |
oeli Utilities for Developing Data Science Software | 0.7.1 |
oem Orthogonalizing EM: Penalized Regression for Big Tall Data | 2.0.12 |
oenb Tools for the OeNB Data Web Service | 0.0.2 |
OenoKPM Modeling the Kinetics of Carbon Dioxide Production in Alcoholic Fermentation | 2.4.1 |
oesr Methods for the Office of Evaluation Sciences | 0.1.0 |
oews2020 May 2020 Occupational Employment and Wage Statistics | 1.0.0 |
oews2021 May 2021 Occupational Employment and Wage Statistics | 1.0.0 |
officedown Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint' | 0.3.3 |
officer Manipulation of Microsoft Word and PowerPoint Documents | 0.6.7 |
offlineChange Detect Multiple Change Points from Time Series | 0.0.4 |
offsetreg An Extension of 'Tidymodels' Supporting Offset Terms | 1.1.0 |
ofGEM A Meta-Analysis Approach with Filtering for Identifying Gene-Level Gene-Environment Interactions with Genetic Association Data | 1.0 |
ofpetrial Design on-Farm Precision Field Agronomic Trials | 0.1.2 |
OGI Objective General Index | 1.0.0 |
oglcnac Processing and Analysis of O-GlcNAcAtlas Data | 0.1.2 |
oglmx Estimation of Ordered Generalized Linear Models | 3.0.0.0 |
ogrdbstats Analysis of Adaptive Immune Receptor Repertoire Germ Line Statistics | 0.5.2 |
OHCSpackage Prepare Housing Data for Analysis | 0.1.5 |
ohenery Modeling of Ordinal Random Variables via Softmax Regression | 0.1.2 |
Ohit OGA+HDIC+Trim and High-Dimensional Linear Regression Models | 1.0.0 |
oHMMed HMMs with Ordered Hidden States and Emission Densities | 1.0.2 |
ohoegdm Ordinal Higher-Order Exploratory General Diagnostic Model for Polytomous Data | 0.1.0 |
OHPL Ordered Homogeneity Pursuit Lasso for Group Variable Selection | 1.4.1 |
ohsome An 'ohsome API' Client | 0.2.2 |
ohtadstats Tomoka Ohta D Statistics | 2.1.1 |
ohun Optimizing Acoustic Signal Detection | 1.0.2 |
oii Crosstab and Statistical Tests for OII MSc Stats Course | 1.0.2.1 |
ojsr Crawler and Data Scraper for Open Journal System ('OJS') | 0.1.5 |
OkNNE A k-Nearest Neighbours Ensemble via Optimal Model Selection for Regression | 1.0.1 |
okxAPI An Unofficial Wrapper for 'okx exchange v5' API | 0.1.1 |
OLCPM Online Change Point Detection for Matrix-Valued Time Series | 0.1.2 |
olctools Open Location Code Handling in R | 0.3.0 |
oligo | 1.70.0 |
oligoClasses | 1.68.0 |
OlinkAnalyze Facilitate Analysis of Proteomic Data from Olink | 4.0.2 |
ollamar 'Ollama' Language Models | 1.2.1 |
ollg Computes some Measures of OLL-G Family of Distributions | 1.0.0 |
ollggamma Odd Log-Logistic Generalized Gamma Probability Distribution | 1.0.2 |
olr Optimal Linear Regression | 1.1 |
olsrr Tools for Building OLS Regression Models | 0.6.1 |
OLStrajr Ordinary Least Squares Trajectory Analysis | 0.1.0 |
OlympicRshiny 'Shiny' Application for Olympic Data | 1.0.2 |
OmegaG Omega-Generic: Composite Reliability of Multidimensional Measures | 1.0.1 |
OmicKriging Poly-Omic Prediction of Complex TRaits | 1.4.0 |
OmicNavigator Open-Source Software for 'Omic' Data Analysis and Visualization | 1.13.13 |
omics '--omics' Data Analysis Toolbox | 0.1-5 |
OmicSense Biosensor Development using Omics Data | 0.2.0 |
OmicsPLS Data Integration with Two-Way Orthogonal Partial Least Squares | 2.0.2 |
OmicsQC Nominating Quality Control Outliers in Genomic Profiling Studies | 1.1.0 |
omicsTools Omics Data Process Toolbox | 1.0.5 |
omicwas Cell-Type-Specific Association Testing in Bulk Omics Experiments | 0.8.0 |
Omisc Univariate Bootstrapping and Other Things | 0.1.5 |
omnibus Helper Tools for Managing Data, Dates, Missing Values, and Text | 1.2.14 |
OmnibusFisher A Modified Fisher’s Method to Test Overall Gene-Level Effect | 1.0 |
omock Creation of Mock Observational Medical Outcomes Partnership Common Data Model | 0.3.1 |
omopgenerics Methods and Classes for the OMOP Common Data Model | 0.4.1 |
OmopSketch Characterise Tables of an OMOP Common Data Model Instance | 0.1.2 |
OmopViewer Visualise OMOP Results using 'shiny' Applications | 0.2.0 |
ompr Model and Solve Mixed Integer Linear Programs | 1.0.4 |
ompr.roi A Solver for 'ompr' that Uses the R Optimization Infrastructure ('ROI') | 1.0.2 |
omsvg Build and Transform 'SVG' Objects | 0.1.0 |
omu A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection | 1.1.2 |
onadata Data Sets for Keith McNulty's Handbook of Graphs and Networks in People Analytics | 0.1 |
OnAge Test of Between-Group Differences in the Onset of Senescence | 1.0.1 |
onbabynames Names Given to Babies in Ontario Between 1917 and 2018 | 0.0.1 |
OnboardClient Bindings for Onboard Data's Building Data API | 1.0.0 |
onbrand Templated Reporting Workflows in Word and PowerPoint | 1.0.6 |
onc.api Oceans 2.0 API Client Library | 2.0.1.0 |
once Execute Expensive Operations Only Once | 0.4.1 |
OncoBayes2 Bayesian Logistic Regression for Oncology Dose-Escalation Trials | 0.8-9 |
Oncofilterfast Aids in the Analysis of Genes Influencing Cancer Survival | 1.0.0 |
oncomsm Bayesian Multi-State Models for Early Oncology | 0.1.4 |
oncoPredict Drug Response Modeling and Biomarker Discovery | 1.2 |
OncoSubtype Predict Cancer Subtypes Based on TCGA Data using Machine Learning Method | 1.0.0 |
Oncotree Estimating Oncogenetic Trees | 0.3.5 |
oncrawlR Machine Learning for S.E.O | 0.2.0 |
ondisc Fast, Universal, and Intuitive Computing on Large-Scale Single-Cell Data | 1.0.0 |
One4All Validate, Share, and Download Data | 0.5 |
OneArm2stage Phase II Single-Arm Two-Stage Designs with Time-to-Event Outcomes | 1.2.1 |
OneArmTTE One-Arm Clinical Trial Designs for Time-to-Event Endpoint | 1.0 |
oneclust Maximum Homogeneity Clustering for Univariate Data | 0.3.0 |
onehot Fast Onehot Encoding for Data.frames | 0.1.1 |
onelogin Interact with the 'OneLogin' API | 0.2.0 |
onemap Construction of Genetic Maps in Experimental Crosses | 3.0.0 |
OneR One Rule Machine Learning Classification Algorithm with Enhancements | 2.2 |
OneSampleLogRankTest One-Sample Log-Rank Test | 0.9.2 |
OneSampleMR One Sample Mendelian Randomization and Instrumental Variable Analyses | 0.1.5 |
ONEST Observers Needed to Evaluate Subjective Tests | 0.1.0 |
OneStep One-Step Estimation | 0.9.4 |
onetime Run Code Only Once | 0.2.0 |
OneTwoSamples Deal with One and Two (Normal) Samples | 1.1-0 |
onewaytests One-Way Tests in Independent Groups Designs | 3.0 |
onion Octonions and Quaternions | 1.5-3 |
onlineBcp Online Bayesian Methods for Change Point Analysis | 0.1.8 |
onlineCOV Online Change Point Detection in High-Dimensional Covariance Structure | 1.3 |
onlineforecast Forecast Modelling for Online Applications | 1.0.2 |
onlinePCA Online Principal Component Analysis | 1.3.2 |
onlineretail Online Retail Dataset | 0.1.2 |
onls Orthogonal Nonlinear Least-Squares Regression | 0.1-2 |
onmaRg Import Public Health Ontario's Ontario Marginalization Index | 1.0.3 |
onnx R Interface to 'ONNX' | 0.0.3 |
OnomasticDiversity Onomastic Diversity Measures | 0.1 |
onpoint Helper Functions for Point Pattern Analysis | 1.0.6 |
onsr Client for the 'ONS' API | 1.0.2 |
onsvplot National Road Safety Observatory (ONSV) Style for 'ggplot2' Graphics | 0.3.2 |
onsvtables National Road Safety Observatory (ONSV) Styles for 'gt' Tables | 0.1.0 |
ontoFAST Interactive Annotation of Characters with Biological Ontologies | 1.0.0 |
ontologics Code-Logics to Handle Ontologies | 0.7.0 |
ontologyIndex Reading Ontologies into R | 2.12 |
ontologyPlot Visualising Sets of Ontological Terms | 1.7 |
ontologySimilarity Calculating Ontological Similarities | 2.7 |
ontophylo Ontology-Informed Phylogenetic Comparative Analyses | 1.1.3 |
OOBCurve Out of Bag Learning Curve | 0.3 |
oompaBase Class Unions, Matrix Operations, and Color Schemes for OOMPA | 3.2.9 |
oompaData Data to Illustrate OOMPA Algorithms | 3.1.4 |
ooplah Helper Functions for Class Object-Oriented Programming | 0.2.0 |
OOR Optimistic Optimization in R | 0.1.4 |
OOS Out-of-Sample Time Series Forecasting | 1.0.0 |
oosse Out-of-Sample R² with Standard Error Estimation | 1.0.11 |
oottest Out-of-Treatment Testing | 0.9.1 |
opa An Implementation of Ordinal Pattern Analysis | 0.8.3 |
opalr 'Opal' Data Repository Client and 'DataSHIELD' Utils | 3.4.2 |
OPC The Online Principal Component Estimation Method | 0.0.2 |
opdisDownsampling Optimal Distribution Preserving Down-Sampling of Bio-Medical Data | 1.0.1 |
OPDOE Optimal Design of Experiments | 1.0-10 |
openai R Wrapper for OpenAI API | 0.4.1 |
openair Tools for the Analysis of Air Pollution Data | 2.18-2 |
openairmaps Create Maps of Air Pollution Data | 0.9.1 |
openaistream Streaming Capabilities for 'OpenAI API' Interactions | 0.3.0 |
openalexR Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API | 1.4.0 |
openappr Retrieve App Data from 'OpenAppBuilder' | 0.2.0 |
openbankeR R Client for Querying the UK 'Open Banking' ('Open Data') API | 0.1.1 |
openblender Request <https://openblender.io> API Services | 0.5.81 |
opencage Geocode with the OpenCage API | 0.2.2 |
OpenCL Interface allowing R to use OpenCL | 0.2-10 |
opencpu Producing and Reproducing Results | 2.2.14 |
openCR Open Population Capture-Recapture | 2.2.7 |
opencv Bindings to 'OpenCV' Computer Vision Library | 0.4.1 |
opendataformat Reading and Writing Open Data Format Files | 2.1.1 |
opendatatoronto Access the City of Toronto Open Data Portal | 0.1.5 |
opendotaR Interface for OpenDota API | 0.1.4 |
openEBGM EBGM Disproportionality Scores for Adverse Event Data Mining | 0.9.1 |
openeo Client Interface for 'openEO' Servers | 1.3.1 |
openFDA 'openFDA' API | 0.1.0 |
OpEnHiMR Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice | 0.1.1 |
OpenImageR An Image Processing Toolkit | 1.3.0 |
openintro Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs | 2.5.0 |
OpenLand Quantitative Analysis and Visualization of LUCC | 1.0.3 |
openmeteo Retrieve Weather Data from the Open-Meteo API | 0.2.4 |
openmetrics A 'Prometheus' Client for R Using the 'OpenMetrics' Format | 0.3.0 |
OpenMindat Quickly Retrieve Datasets from the 'mindat.org' API | 1.0.0 |
OpenML Open Machine Learning and Open Data Platform | 1.12 |
openMSE Easily Install and Load the 'openMSE' Packages | 1.0.1 |
OpenMx Extended Structural Equation Modelling | 2.21.13 |
openNLP Apache OpenNLP Tools Interface | 0.2-7 |
openNLPdata Apache OpenNLP Jars and Basic English Language Models | 1.5.3-5 |
OpeNoise Environmental Noise Pollution Data Analysis | 0.2-18 |
OpenRepGrid Tools to Analyze Repertory Grid Data | 0.1.16 |
OpenRepGrid.ic Interpretive Clustering for Repertory Grids | 0.6.2 |
openrouteservice An 'openrouteservice' API Client | 0.6.1 |
openscoring 'Open Scoring' API Client | 1.0.4 |
openSkies Retrieval, Analysis and Visualization of Air Traffic Data | 1.2.1 |
OpenSpecy Analyze, Process, Identify, and Share Raman and (FT)IR Spectra | 1.4.0 |
openssl Toolkit for Encryption, Signatures and Certificates Based on OpenSSL | 2.2.2 |
OpenStreetMap Access to Open Street Map Raster Images | 0.4.0 |
OpenTreeChronograms Open Tree of Life Chronograms | 2022.1.28 |
opentripplanner Setup and connect to 'OpenTripPlanner' | 0.5.2 |
openVA Automated Method for Verbal Autopsy | 1.1.2 |
openxlsx Read, Write and Edit xlsx Files | 4.2.7.1 |
openxlsx2 Read, Write and Edit 'xlsx' Files | 1.11 |
opera Online Prediction by Expert Aggregation | 1.2.0 |
operator.tools Utilities for Working with R's Operators | 1.6.3 |
operators Additional Binary Operators | 0.1-8 |
opGMMassessment Optimized Automated Gaussian Mixture Assessment | 0.4 |
OPI Open Perimetry Interface | 3.0.2 |
opinAr Argentina's Public Opinion Toolbox | 1.0.0 |
opitools Analyzing the Opinions in a Big Text Document | 1.8.0 |
Opportunistic Routing Distribution, Broadcasts, Transmissions and Receptions in an Opportunistic Network | 1.2 |
oppr Optimal Project Prioritization | 1.0.4 |
OPSR Ordinal Probit Switching Regression | 0.1.2 |
Opt5PL Optimal Designs for the 5-Parameter Logistic Model | 0.1.1 |
optband 'surv' Object Confidence Bands Optimized by Area | 0.2.2 |
optbdmaeAT Optimal Block Designs for Two-Colour cDNA Microarray Experiments | 1.0.1 |
optbin Optimal Binning of Data | 1.4 |
optBiomarker Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules | 1.0-28 |
OptCirClust Circular, Periodic, or Framed Data Clustering: Fast, Optimal, and Reproducible | 0.0.4 |
optDesignSlopeInt Optimal Designs for Estimating the Slope Divided by the Intercept | 1.1.1 |
OPTeCD Optimal Partial Tetra-Allele Cross Designs | 1.0.0 |
optedr Calculating Optimal and D-Augmented Designs | 2.0.0 |
optextras Tools to Support Optimization Possibly with Bounds and Masks | 2019-12.4 |
OptGS Near-Optimal Group-Sequential Designs for Continuous Outcomes | 1.2 |
OptHedging Estimation of value and hedging strategy of call and put options. | 1.0 |
OptHoldoutSize Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score | 0.1.0.0 |
optic Simulation Tool for Causal Inference Using Longitudinal Data | 1.0.1 |
optical Optimal Item Calibration | 1.7.1 |
opticskxi OPTICS K-Xi Density-Based Clustering | 1.1.0 |
opticut Likelihood Based Optimal Partitioning and Indicator Species Analysis | 0.1-3 |
optifunset Set Options if Unset | 1.0 |
optigrab Command-Line Parsing for an R World | 0.9.2.1 |
optim.functions Standard Benchmark Optimization Functions | 0.1 |
OptimalCutpoints Computing Optimal Cutpoints in Diagnostic Tests | 1.1-5 |
OptimalDesign A Toolbox for Computing Efficient Designs of Experiments | 1.0.1 |
OptimalGoldstandardDesigns Design Parameter Optimization for Gold-Standard Non-Inferiority Trials | 1.0.1 |
optimall Allocate Samples Among Strata | 1.1.1 |
OptimalRerandExpDesigns Optimal Rerandomization Experimental Designs | 1.1 |
OptimalSurrogate Model Free Approach to Quantifying Surrogacy | 1.0 |
optimalThreshold Bayesian Methods for Optimal Threshold Estimation | 1.0 |
OptimalTiming Optimal Timing Identification | 0.1.0 |
OptimaRegion Confidence Regions for Optima of Response Surfaces | 1.2 |
optimbase R Port of the 'Scilab' Optimbase Module | 1.0-10 |
optimCheck Graphical and Numerical Checks for Mode-Finding Routines | 1.0.1 |
optimg General-Purpose Gradient-Based Optimization | 0.1.2 |
optimization Flexible Optimization of Complex Loss Functions with State and Parameter Space Constraints | 1.0-9 |
optimizeR Unified Framework for Numerical Optimizers | 1.1.2 |
optimLanduse Robust Land-Use Optimization | 1.2.1 |
OptimModel Perform Nonlinear Regression Using 'optim' as the Optimization Engine | 2.0-1 |
optimos.prime Optimos Prime Helps Calculate Autoecological Data for Biological Species | 0.1.2 |
optimParallel Parallel Version of the L-BFGS-B Optimization Method | 1.0-2 |
optimsimplex R Port of the 'Scilab' Optimsimplex Module | 1.0-8 |
optimStrat Choosing the Sample Strategy | 2.4 |
optimus Model Based Diagnostics for Multivariate Cluster Analysis | 0.2.0 |
optimx Expanded Replacement and Extension of the 'optim' Function | 2024-12.2 |
optional Optional Types and Pattern Matching | 2.0.1 |
OptionPricing Option Pricing with Efficient Simulation Algorithms | 0.1.2 |
options Simple, Consistent Package Options | 0.3.0 |
optionstrat Utilizes the Black-Scholes Option Pricing Model to Perform Strategic Option Analysis and Plot Option Strategies | 1.4.1 |
optiscale Optimal Scaling | 1.2.3 |
optiSel Optimum Contribution Selection and Population Genetics | 2.0.9 |
OptiSembleForecasting Optimization Based Ensemble Forecasting Using MCS Algorithm | 0.1.0 |
optiSolve Linear, Quadratic, and Rational Optimization | 1.0 |
optistock Determine Optimum Stocking Times Used in Fishery Enhancements | 0.0.2 |
OptM Estimating the Optimal Number of Migration Edges from 'Treemix' | 0.1.8 |
optmatch Functions for Optimal Matching | 0.10.8 |
optparse Command Line Option Parser | 1.7.5 |
optpart Optimal Partitioning of Similarity Relations | 3.0-3 |
optR Optimization Toolbox for Solving Linear Systems | 1.2.5 |
optrcdmaeAT Optimal Row-Column Designs for Two-Colour cDNA Microarray Experiments | 1.0.0 |
optrefine Optimally Refine Strata | 1.1.0 |
optRF Optimising Random Forest Stability Through Selection of the Optimal Number of Trees | 1.0.1 |
OPTS Optimization via Subsampling (OPTS) | 0.1 |
OptSig Optimal Level of Significance for Regression and Other Statistical Tests | 2.2 |
OPTtesting Optimal Testing | 1.0.0 |
optweight Targeted Stable Balancing Weights Using Optimization | 0.2.5 |
opusminer OPUS Miner Algorithm for Filtered Top-k Association Discovery | 0.1-1 |
OralOpioids Retrieving Oral Opioid Information | 2.0.3 |
orbital Predict with 'tidymodels' Workflows in Databases | 0.2.0 |
orbweaver Fast and Efficient Graph Data Structures | 0.10.2 |
orca Computation of Graphlet Orbit Counts in Sparse Graphs | 1.1-3 |
orclus Subspace Clustering Based on Arbitrarily Oriented Projected Cluster Generation | 0.2-6 |
ORCME Order Restricted Clustering for Microarray Experiments | 2.0.2 |
Orcs Omnidirectional R Code Snippets | 1.2.3 |
orcutt Estimate Procedure in Case of First Order Autocorrelation | 2.3 |
ordbetareg Ordered Beta Regression Models with 'brms' | 0.7.2 |
OrdCD Ordinal Causal Discovery | 1.1.2 |
ordcrm Likelihood-Based Continual Reassessment Method (CRM) Dose Finding Designs | 1.0.0 |
ordDisp Separating Location and Dispersion in Ordinal Regression Models | 2.1.1 |
ordering Test, Check, Verify, Investigate the Monotonic Properties of Vectors | 0.7.0 |
orderly Lightweight Reproducible Reporting | 1.4.3 |
orders Sampling from k-th Order Statistics of New Families of Distributions | 0.1.8 |
orderstats Efficiently Generates Random Order Statistic Variables | 0.1.0 |
OrdFacReg Least Squares, Logistic, and Cox-Regression with Ordered Predictors | 1.0.6 |
ordgam Additive Model for Ordinal Data using Laplace P-Splines | 0.9.1 |
ordiBreadth Ordinated Diet Breadth | 1.0 |
ordinal Regression Models for Ordinal Data | 2023.12-4.1 |
ordinalbayes Bayesian Ordinal Regression for High-Dimensional Data | 0.1.1 |
ordinalCont Ordinal Regression Analysis for Continuous Scales | 2.0.2 |
ordinalForest Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables | 2.4-4 |
ordinalgmifs Ordinal Regression for High-Dimensional Data | 1.0.8 |
ordinalLBM Co-Clustering of Ordinal Data via Latent Continuous Random Variables | 1.0 |
ordinalNet Penalized Ordinal Regression | 2.12 |
ordinalpattern Tests Based on Ordinal Patterns | 0.2.6 |
ordinalRR Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements | 1.1 |
OrdMonReg Compute least squares estimates of one bounded or two ordered isotonic regression curves | 1.0.3 |
OrdNor Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distributions | 2.2.3 |
ordPens Selection, Fusion, Smoothing and Principal Components Analysis for Ordinal Variables | 1.1.0 |
ordr A 'tidyverse' Extension for Ordinations and Biplots | 0.1.1 |
ore An R Interface to the Onigmo Regular Expression Library | 1.7.4.1 |
oreo Large Amplitude Oscillatory Shear (LAOS) | 1.0 |
orf Ordered Random Forests | 0.1.4 |
ORFID Manage and Summarize Data from Oregon RFID ORMR and ORSR Antenna Readers | 1.0.2 |
org Organising Projects | 2024.6.5 |
org.Dr.eg.db | 3.20.0 |
org.Hs.eg.db | 3.20.0 |
org.Mm.eg.db | 3.20.0 |
Organism.dplyr | 1.34.0 |
OrganismDbi | 1.48.0 |
organizr Shortcuts for File Creation with Informative Prefixes | 0.1.0 |
OrgMassSpecR Organic Mass Spectrometry | 0.5-3 |
orgR Analyse Text Files Created by Emacs' Org mode | 0.9.0 |
orgutils Helper Functions for Org Files | 0.5-0 |
ORIClust Order-Restricted Information Criterion-Based Clustering Algorithm | 1.0-2 |
orientlib Support for Orientation Data | 0.10.5 |
origami Generalized Framework for Cross-Validation | 1.0.7 |
OrigamiPlot A Visualization Tool Enhancing Radar Plot Visualizations for Multivariate Data | 0.2.0 |
origin Explicitly Qualifying Namespaces by Automatically Adding 'pkg::' to Functions | 1.2.0 |
ORION Ordinal Relations | 1.0.3 |
ORIONZ.G EAP Scoring in Exploratory FA Solutions with Correlated Residuals | 1.0.1 |
ORKM The Online Regularized K-Means Clustering Algorithm | 0.8.0.0 |
orloca Operations Research LOCational Analysis Models | 5.6 |
orloca.es Spanish version of orloca package. Modelos de localizacion en investigacion operativa | 4.9 |
ormBigData Fitting Semiparametric Cumulative Probability Models for Big Data | 0.0.1 |
ormPlot Advanced Plotting of Ordinal Regression Models | 0.3.6 |
oro.dicom Rigorous - DICOM Input / Output | 0.5.3 |
oro.nifti Rigorous - 'NIfTI' + 'ANALYZE' + 'AFNI' : Input / Output | 0.11.4 |
oro.pet Rigorous - Positron Emission Tomography | 0.2.7 |
orsifronts Southern Ocean Frontal Distributions (Orsi) | 0.2.0 |
orsk Converting Odds Ratio to Relative Risk in Cohort Studies with Partial Data Information | 1.0-8 |
ORTH.Ord Alternating Logistic Regression with Orthogonalized Residuals for Correlated Ordinal Outcomes | 1.0.1 |
orthGS Orthology vs Paralogy Relationships among Glutamine Synthetase from Plants | 0.1.6 |
orthoDr Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization | 0.6.8 |
orthogonalsplinebasis Orthogonal B-Spline Basis Functions | 0.1.7 |
OrthoPanels Dynamic Panel Models with Orthogonal Reparameterization of Fixed Effects | 1.2-4 |
orthopolynom Collection of Functions for Orthogonal and Orthonormal Polynomials | 1.0-6.1 |
ORTSC Connects to Google Cloud API for Label Detection | 1.0.0 |
oRus Operational Research User Stories | 1.0.0 |
OryzaProbe Rice Microarray Probe ID Conversion, from Probe ID to RAP-DB ID | 0.1.0 |
osc Orthodromic Spatial Clustering | 1.0.5 |
oscar Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm | 1.2.1 |
OscillatorGenerator Generation of Customizable, Discretized Time Series of Oscillating Species | 0.1.0 |
OSCV One-Sided Cross-Validation | 1.0 |
osd Orthogonal Signal Deconvolution for Spectra Deconvolution in GC-MS and GCxGC-MS Data | 0.1 |
osdatahub Easier Interaction with the Ordnance Survey Data Hub | 0.2.0 |
osDesign Design, Planning and Analysis of Observational Studies | 1.8 |
OSDR Finds an Optimal System of Distinct Representatives | 1.1.4 |
OSFD Output Space-Filling Design | 1.0 |
osfr Interface to the 'Open Science Framework' ('OSF') | 0.2.9 |
oshka Recursive Quoted Language Expansion | 0.1.2 |
oskeyring Raw System Credential Store Access from R | 0.1.6 |
OSLdecomposition Signal Component Analysis for Optically Stimulated Luminescence | 1.0.0 |
osmapiR 'OpenStreetMap' API | 0.2.2 |
osmclass Classify Open Street Map Features | 0.1.3 |
osmdata Import 'OpenStreetMap' Data as Simple Features or Spatial Objects | 0.2.5 |
osmextract Download and Import Open Street Map Data Extracts | 0.5.2 |
OSMscale Add a Scale Bar to 'OpenStreetMap' Plots | 0.5.20 |
OSNMTF Orthogonal Sparse Non-Negative Matrix Tri-Factorization | 0.1.0 |
osqp Quadratic Programming Solver using the 'OSQP' Library | 0.6.3.3 |
osrm Interface Between R and the OpenStreetMap-Based Routing Service OSRM | 4.2.0 |
osrmr Wrapper for the 'OSRM' API | 0.1.36 |
OssaNMA Optimal Sample Size and Allocation with a Network Meta-Analysis | 0.1.2 |
OSsurvival Assessing Surrogacy with a Censored Outcome | 1.0 |
Ostats O-Stats, or Pairwise Community-Level Niche Overlap Statistics | 0.2.0 |
OSTE Optimal Survival Trees Ensemble | 1.0 |
osum Provide Summary Information About R Objects | 0.1.0 |
otargen Access Open Target Genetics | 1.1.5 |
OTclust Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis | 1.0.6 |
OTE Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation | 1.0.1 |
otinference Inference for Optimal Transport | 0.1.0 |
otp One Time Password Generation and Verification | 0.1.1 |
otpr An R Wrapper for the 'OpenTripPlanner' REST API | 0.5.1 |
OTrecod Data Fusion using Optimal Transportation Theory | 0.1.2 |
otrimle Robust Model-Based Clustering | 2.0 |
otrKM Optimal Treatment Regimes in Survival Contexts with Kaplan-Meier-Like Estimators | 0.2.1 |
OTRselect Variable Selection for Optimal Treatment Decision | 1.2 |
otsad Online Time Series Anomaly Detectors | 0.2.0 |
otsfeatures Ordinal Time Series Analysis | 1.0.0 |
ottr An R Autograding Extension for Otter-Grader | 1.5.1 |
ottrpal Companion Tools for Open-Source Tools for Training Resources (OTTR) | 1.2.1 |
otuSummary Summarizing OTU Table Regarding the Composition, Abundance and Beta Diversity of Abundant and Rare Biospheres | 0.1.2 |
OTUtable North Temperate Lakes - Microbial Observatory 16S Time Series Data and Functions | 1.1.2 |
ouch Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses | 2.20 |
ouladFormat Loads and Formats the Open University Learning Analytics Dataset for Data Analysis | 1.1.2 |
outbreaker2 Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologic and Genomic Data | 1.1.3 |
outbreaks A Collection of Disease Outbreak Data | 1.9.0 |
outcomerate AAPOR Survey Outcome Rates | 1.0.1 |
OutcomeWeights Outcome Weights of Treatment Effect Estimators | 0.1.0 |
outForest Multivariate Outlier Detection and Replacement | 1.0.1 |
outlierensembles A Collection of Outlier Ensemble Algorithms | 0.1.0 |
outliers Tests for Outliers | 0.15 |
outliers.ts.oga Efficient Outlier Detection in Heterogeneous Time Series Databases | 0.0.1 |
OutliersLearn Educational Outlier Package with Common Outlier Detection Algorithms | 1.0.0 |
OutliersO3 Draws Overview of Outliers (O3) Plots | 0.6.3 |
outliertree Explainable Outlier Detection Through Decision Tree Conditioning | 1.10.0 |
outqrf Find the Outlier by Quantile Random Forests | 1.0.0 |
outreg Regression Table for Publication | 0.2.2 |
OutSeekR Statistical Approach to Outlier Detection in RNA-Seq and Related Data | 1.0.0 |
OUwie Analysis of Evolutionary Rates in an OU Framework | 2.10 |
overdisp Overdispersion in Count Data Multiple Regression Analysis | 0.1.2 |
overlap Estimates of Coefficient of Overlapping for Animal Activity Patterns | 0.3.9 |
overlapping Estimation of Overlapping in Empirical Distributions | 2.1 |
overlapptest Test Overlapping of Polygons Against Random Rotation | 1.3 |
overture Tools for Writing MCMC | 0.4-0 |
overturemapsr Download Overture Maps Data in R | 0.0.4 |
overtureR Load 'Overture' Datasets as 'dbplyr' and 'sf'-Ready Data Frames | 0.2.4 |
overviewR Easily Extracting Information About Your Data | 0.0.13 |
OVL.CI Inference on the Overlap Coefficient: The Binormal Approach and Alternatives | 0.1.0 |
OVtool Omitted Variable Tool | 1.0.3 |
owd Open Working Directory | 1.0.6 |
owdbr Open Welfare Data Brazil | 1.0.1.1 |
OWEA Optimal Weight Exchange Algorithm for Optimal Designs for Three Models | 0.1.2 |
OwenQ Owen Q-Function | 1.0.7 |
owidR Import Data from Our World in Data | 1.4.2 |
owmr OpenWeatherMap API Wrapper | 0.8.2 |
ows4R Interface to OGC Web-Services (OWS) | 0.4 |
ox Shorthand if-Else | 0.1.0 |
oxcAAR Interface to 'OxCal' Radiocarbon Calibration | 1.1.1 |
OxyBS Processing of Oxy-Bisulfite Microarray Data | 1.5 |
oysteR Scans R Projects for Vulnerable Third Party Dependencies | 0.1.1 |
oz Plot the Australian Coastline and States | 1.0-22 |
ozbabynames Australian Popular Baby Names | 0.1.0 |
ozmaps Australia Maps | 0.4.5 |
p3state.msm Analyzing Survival Data from an Illness-Death Model | 1.3.2 |
pa Performance Attribution for Equity Portfolios | 1.2-4 |
paar Precision Agriculture Data Analysis | 1.0.1 |
PAC Partition-Assisted Clustering and Multiple Alignments of Networks | 1.1.4 |
pack Convert values to/from raw vectors | 0.1-1 |
packageDiff Compare R Package Differences | 0.1 |
packagefinder Comfortable Search for R Packages on CRAN, Either Directly from the R Console or with an R Studio Add-in | 0.3.5 |
packagepal Guidelines and Checklists for Building CRAN-Worthy Packages | 0.1.0 |
packager Create, Build and Maintain Packages | 1.15.2 |
packageRank Computation and Visualization of Package Download Counts and Percentile Ranks | 0.9.4 |
packcircles Circle Packing | 0.3.7 |
packDAMipd Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data | 1.1.0 |
packer An Opinionated Framework for Using 'JavaScript' | 0.1.3 |
packHV A few Useful Functions for Statisticians | 2.2 |
packMBPLSDA Multi-Block Partial Least Squares Discriminant Analysis | 0.9.0 |
packrat A Dependency Management System for Projects and their R Package Dependencies | 0.9.2 |
PACLasso Penalized and Constrained Lasso Optimization | 1.0.0 |
pacman Package Management Tool | 0.5.1 |
paco Procrustes Application to Cophylogenetic Analysis | 0.4.2 |
pacotest Testing for Partial Copulas and the Simplifying Assumption in Vine Copulas | 0.4.2 |
pacs Supplementary Tools for R Packages Developers | 0.6.0 |
PACVr Plastome Assembly Coverage Visualization | 1.0.11 |
Pade Padé Approximant Coefficients | 1.0.7 |
padr Quickly Get Datetime Data Ready for Analysis | 0.6.3 |
pafdR Book Companion for Processing and Analyzing Financial Data with R | 1.0 |
PAFit Generative Mechanism Estimation in Temporal Complex Networks | 1.2.10 |
pafr Read, Manipulate and Visualize 'Pairwise mApping Format' Data | 0.0.2 |
pagedown Paginate the HTML Output of R Markdown with CSS for Print | 0.21 |
pagemap Create Mini Map for Web Pages | 0.1.3 |
pagenum Put Page Numbers on Graphics | 1.3 |
pageviews An API Client for Wikimedia Traffic Data | 0.6.0 |
PAGFL Joint Estimation of Latent Groups and Group-Specific Coefficients in Panel Data Models | 1.1.2 |
pagoda2 Single Cell Analysis and Differential Expression | 1.0.12 |
PAGWAS Pathway Analysis Methods for Genomewide Association Data | 2.0 |
PAICE Phylogeographic Analysis of Island Colonization Events | 1.0.2 |
painbow Use XKCD's "Painbow" Colormap in ggplot2 | 1.0.1 |
painter Creation and Manipulation of Color Palettes | 0.1.0 |
paintingr Painting Palettes Generator | 0.1.0 |
paintmap Plotting Paintmaps | 1.0 |
PairedData Paired Data Analysis | 1.1.1 |
pairsD3 D3 Scatterplot Matrices | 0.1.3 |
PairViz Visualization using Graph Traversal | 1.3.6 |
pairwise Rasch Model Parameters by Pairwise Algorithm | 0.6.1-0 |
pairwiseCI Confidence Intervals for Two Sample Comparisons | 0.1-27 |
pak Another Approach to Package Installation | 0.8.0 |
PakNAcc 'shiny' App for National Accounts | 0.1.0 |
PakPC 'shiny' App to Analyze Pakistan's Population Census Data | 0.3.0 |
PakPC2017 Pakistan Population Census 2017 | 1.0.0 |
PakPC2023 Pakistan Population Census 2023 | 0.2.0 |
PakPMICS2014Ch Multiple Indicator Cluster Survey (MICS) 2014 Child Questionnaire Data for Punjab, Pakistan | 0.1.0 |
PakPMICS2014HH Multiple Indicator Cluster Survey (MICS) 2014 Household Questionnaire Data for Punjab, Pakistan | 0.1.0 |
PakPMICS2014HL Multiple Indicator Cluster Survey (MICS) 2014 Household Listing Questionnaire Data for Punjab, Pakistan | 0.1.1 |
PakPMICS2014Wm Multiple Indicator Cluster Survey (MICS) 2014 Women Questionnaire Data for Punjab, Pakistan | 0.1.1 |
PakPMICS2018 Multiple Indicator Cluster Survey (MICS) 2017-18 Data for Punjab, Pakistan | 1.2.0 |
PakPMICS2018bh Multiple Indicator Cluster Survey (MICS) 2017-18 Birth History of Children Questionnaire Data for Punjab, Pakistan | 0.1.0 |
PakPMICS2018fs Multiple Indicator Cluster Survey (MICS) 2017-18 Children Age 5-17 Questionnaire Data for Punjab, Pakistan | 0.1.0 |
PakPMICS2018hh Multiple Indicator Cluster Survey (MICS) 2017-18 Household Questionnaire Data for Punjab, Pakistan | 0.1.0 |
PakPMICS2018mm Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal Mortality Questionnaire Data for Punjab, Pakistan | 0.1.0 |
PakPMICS2018mn Multiple Indicator Cluster Survey (MICS) 2017-18 Men Questionnaire Data for Punjab, Pakistan | 0.1.0 |
pakret Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto' | 0.2.2 |
palaeoSig Significance Tests for Palaeoenvironmental Reconstructions | 2.1-3 |
palaeoverse Prepare and Explore Data for Palaeobiological Analyses | 1.4.0 |
palasso Sparse Regression with Paired Covariates | 1.0.0 |
pald Partitioned Local Depth for Community Structure in Data | 0.0.4 |
paleoAM Simulating Assemblage Models of Abundance for the Fossil Record | 1.0.1 |
paleobioDB Download and Process Data from the Paleobiology Database | 1.0.0 |
paleobuddy Simulating Diversification Dynamics | 1.0.0 |
paleoDiv Extracting and Visualizing Paleobiodiversity | 0.4.0 |
paleomorph Geometric Morphometric Tools for Paleobiology | 0.1.4 |
paleopop Pattern-Oriented Modeling Framework for Coupled Niche-Population Paleo-Climatic Models | 2.1.6 |
paleotree Paleontological and Phylogenetic Analyses of Evolution | 3.4.7 |
paleoTS Analyze Paleontological Time-Series | 0.6.2 |
palette Color Scheme Helpers | 0.0.2 |
paletteer Comprehensive Collection of Color Palettes | 1.6.0 |
paletteknife Create Colour Scales and Legend from Continuous or Categorical Vectors | 0.4.2 |
palettes Methods for Colour Vectors and Colour Palettes | 0.2.1 |
palettesForR GPL Palettes Copied from 'Gimp' and 'Inkscape' | 0.1.2 |
palettetown Use Pokemon Inspired Colour Palettes | 0.1.1 |
palinsol Insolation for Palaeoclimate Studies | 1.0 |
palm Fitting Point Process Models via the Palm Likelihood | 1.1.5 |
palmerpenguins Palmer Archipelago (Antarctica) Penguin Data | 0.1.1 |
PaLMr Interface for 'Google Pathways Language Model 2 (PaLM 2)' | 0.2.0 |
palmtree Partially Additive (Generalized) Linear Model Trees | 0.9-1 |
palr Colour Palettes for Data | 0.4.0 |
pals Color Palettes, Colormaps, and Tools to Evaluate Them | 1.9 |
PamBinaries Read and Process 'Pamguard' Binary Data | 1.9.0 |
PAmeasures Prediction and Accuracy Measures for Nonlinear Models and for Right-Censored Time-to-Event Data | 0.1.0 |
PAMhm Generate Heatmaps Based on Partitioning Around Medoids (PAM) | 0.1.2 |
pamm Power Analysis for Random Effects in Mixed Models | 1.122 |
PAMmisc Miscellaneous Functions for Passive Acoustic Analysis | 1.12.3 |
pammtools Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis | 0.5.93 |
PAMpal Load and Process Passive Acoustic Data | 1.2.1 |
pampe Implementation of the Panel Data Approach Method for Program Evaluation | 1.1.2 |
pamr Pam: Prediction Analysis for Microarrays | 1.57 |
PAMscapes Tools for Summarising and Analysing Soundscape Data | 0.7.0 |
pan Multiple Imputation for Multivariate Panel or Clustered Data | 1.9 |
PANACEA Personalized Network-Based Anti-Cancer Therapy Evaluation | 1.0.1 |
pAnalysis Benchmarking and Rescaling R2 using Noise Percentile Analysis | 2.0 |
PanCanVarSel Pan-Cancer Variable Selection | 0.0.3 |
pandemics Monitoring a Developing Pandemic with Available Data | 0.1.0 |
pander An R 'Pandoc' Writer | 0.6.5 |
pandoc Manage and Run Universal Converter 'Pandoc' from 'R' | 0.2.0 |
pandocfilters Pandoc Filters for R | 0.1-6 |
Pandora Retrieve Data using the API of the 'Pandora' Data Platform | 24.2.0 |
panelaggregation Aggregate Longitudinal Survey Data | 0.1.1 |
PanelCount Random Effects and/or Sample Selection Models for Panel Count Data | 2.0.1 |
panelhetero Panel Data Analysis with Heterogeneous Dynamics | 1.0.1 |
PanelMatch Matching Methods for Causal Inference with Time-Series Cross-Sectional Data | 2.2.0 |
panelPomp Inference for Panel Partially Observed Markov Processes | 1.5.0.0 |
panelr Regression Models and Utilities for Repeated Measures and Panel Data | 0.7.8 |
panelsummary Create Publication-Ready Regression Tables with Panels | 0.1.2.1 |
panelSUR Two-Way Error Component SUR Systems Estimation on Unbalanced Panel Data | 0.1.0 |
PanelTM Two- And Three-Way Dynamic Panel Threshold Regression Model for Change Point Detection | 1.0 |
panelvar Panel Vector Autoregression | 0.5.6 |
panelView Visualizing Panel Data | 1.1.18 |
panelWranglR Panel Data Wrangling Tools | 1.2.13 |
pangaear Client for the 'Pangaea' Database | 1.1.0 |
PanJen A Semi-Parametric Test for Specifying Functional Form | 1.6 |
pannotator Visualisation and Annotation of 360 Degree Imagery | 1.0.0.4 |
PANPRSnext Building PRS Models Based on Summary Statistics of GWAs | 1.2.0 |
panstarrs Interface to the Pan-STARRS API | 0.2.2 |
PantaRhei Plots Sankey Diagrams | 0.1.2 |
papaja Prepare American Psychological Association Journal Articles with R Markdown | 0.1.3 |
papci Prevalence Adjusted PPV Confidence Interval | 0.1.0 |
papeR A Toolbox for Writing Pretty Papers and Reports | 1.0-5 |
paperplanes Distance Recordings from a Paper Plane Folding/Flying Experiment | 0.0.1.9 |
parabar Progress Bar for Parallel Tasks | 1.3.0 |
parade Pen's Income Parades | 0.1 |
paradox Define and Work with Parameter Spaces for Complex Algorithms | 1.0.1 |
parafac4microbiome Parallel Factor Analysis Modelling of Longitudinal Microbiome Data | 1.0.3 |
parallel | 4.4.2 |
parallelDist Parallel Distance Matrix Computation using Multiple Threads | 0.2.6 |
ParallelLogger Support for Parallel Computation, Logging, and Function Automation | 3.3.1 |
parallelly Enhancing the 'parallel' Package | 1.40.1 |
parallelMap Unified Interface to Parallelization Back-Ends | 1.5.1 |
parallelMCMCcombine Combining Subset MCMC Samples to Estimate a Posterior Density | 2.0 |
parallelpam Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data | 1.4.3 |
ParallelPC Paralellised Versions of Constraint Based Causal Discovery Algorithms | 1.2 |
parallelPlot `htmlwidget` for a Parallel Coordinates Plot | 0.4.0 |
param2moment Raw, Central and Standardized Moments of Parametric Distributions | 0.1.2 |
paramDemo Parametric and Non-Parametric Demographic Functions and Applications | 1.0.1 |
parameters Processing of Model Parameters | 0.24.0 |
paramGUI A Shiny GUI for some Parameter Estimation Examples | 2.2.0 |
ParamHelpers Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning | 1.14.1 |
paramhetero Numeric and Visual Comparisons of Heterogeneity in Parametric Models | 1.0.0 |
paramlink Parametric Linkage and Other Pedigree Analysis in R | 1.1-5 |
paramlink2 Parametric Linkage Analysis | 1.0.6 |
params Simplify Parameters | 0.7.3 |
paramsim Parameterized Simulation | 0.1.0 |
paramtest Run a Function Iteratively While Varying Parameters | 0.1.0 |
paran Horn's Test of Principal Components/Factors | 1.5.3 |
ParBayesianOptimization Parallel Bayesian Optimization of Hyperparameters | 1.2.6 |
parcats Interactive Parallel Categories Diagrams for 'easyalluvial' | 0.0.5 |
parcr Construct Parsers for Structured Text Files | 0.5.2 |
ParDNAcopy Parallel implementation of the "segment" function of package "DNAcopy" | 2.0 |
PaRe A Way to Perform Code Review or QA on Other Packages | 0.1.15 |
Pareto The Pareto, Piecewise Pareto and Generalized Pareto Distribution | 2.4.5 |
ParetoPosStable Computing, Fitting and Validating the PPS Distribution | 1.1 |
parfm Parametric Frailty Models | 2.7.7 |
pargasite Pollution-Associated Risk Geospatial Analysis Site | 2.1.1 |
parglm Parallel GLM | 0.1.7 |
pARI Permutation-Based All-Resolutions Inference | 1.1.2 |
Paris2024Colours Color Palettes Inspired by Paris 2024 Olympic and Paralympic Games | 0.2.0 |
parma Portfolio Allocation and Risk Management Applications | 1.7 |
parmigene Parallel Mutual Information Estimation for Gene Network Reconstruction | 1.1.1 |
parmsurvfit Parametric Models for Survival Data | 0.1.0 |
paropt Parameter Optimizing of ODE-Systems | 0.3.3 |
parqr Read in Multi-Part Parquet Files | 0.1.0 |
parquetize Convert Files to Parquet Format | 0.5.7 |
parsec Partial Orders in Socio-Economics | 1.2.7 |
parsedate Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats | 1.3.2 |
parsel Parallel Dynamic Web-Scraping Using 'RSelenium' | 0.3.0 |
parsermd Formal Parser and Related Tools for R Markdown Documents | 0.1.3 |
parseRPDR Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries | 1.1.1 |
parSim Parallel Simulation Studies | 0.1.5 |
parsnip A Common API to Modeling and Analysis Functions | 1.2.1 |
PartCensReg Estimation and Diagnostics for Partially Linear Censored Regression Models Based on Heavy-Tailed Distributions | 1.39 |
partDSA Partitioning Using Deletion, Substitution, and Addition Moves | 0.9.14 |
partialised Partialised Functions | 0.1.1 |
Partiallyoverlapping Partially Overlapping Samples Tests | 2.0 |
PartialNetwork Estimating Peer Effects Using Partial Network Data | 1.0.4 |
particle.swarm.optimisation Optimisation with Particle Swarm Optimisation | 1.0 |
particles A Graph Based Particle Simulator Based on D3-Force | 0.2.4 |
parTimeROC Parametric Time-Dependent Receiver Operating Characteristic | 0.1.0 |
partition Agglomerative Partitioning Framework for Dimension Reduction | 0.2.2 |
partitionBEFsp Methods for Calculating the Loreau & Hector 2001 BEF Partition | 1.0 |
partitionComparison Implements Measures for the Comparison of Two Partitions | 0.2.6 |
partitionMetric Compute a distance metric between two partitions of a set | 1.1 |
partitions Additive Partitions of Integers | 1.10-7 |
partools Tools for the 'Parallel' Package | 1.1.6 |
partR2 Partitioning R2 in GLMMs | 0.9.2 |
partsm Periodic Autoregressive Time Series Models | 1.1-3 |
parttime Partial Datetime Handling | 0.1.2 |
party A Laboratory for Recursive Partytioning | 1.3-17 |
partykit A Toolkit for Recursive Partytioning | 1.2-23 |
parzer Parse Messy Geographic Coordinates | 0.4.1 |
PAS Polygenic Analysis System (PAS) | 1.2.5 |
pasadr An Implementation of Process-Aware Stealthy Attack Detection(PASAD) | 1.0 |
PASenseWear Summarize Daily Physical Activity from 'SenseWear' Accelerometer Data | 1.0 |
pass.lme Power and Sample Size for Linear Mixed Effect Models | 0.9.0 |
PASSED Calculate Power and Sample Size for Two Sample Mean Tests | 1.2-2 |
PAsso Assessing the Partial Association Between Ordinal Variables | 0.1.10 |
passport Travel Smoothly Between Country Name and Code Formats | 0.3.0 |
passt Probability Associator Time (PASS-T) | 0.1.3 |
password Create Random Passwords | 1.0-0 |
pastaPlot Spaghetti-Plot Fixed and Random Effects of Linear Mixed Models | 0.1.0 |
pastboon Simulation of Parameterized Stochastic Boolean Networks | 0.1.2 |
pastclim Manipulate Time Series of Palaeoclimate Reconstructions | 2.1.0 |
pasteAsComment 'RStudio' Addin to Paste the Clipboard as a Comment Block or a 'roxygen' Block | 0.2.1 |
pastecs Package for Analysis of Space-Time Ecological Series | 1.4.2 |
PASWR Probability and Statistics with R | 1.3 |
PASWR2 Probability and Statistics with R, Second Edition | 1.0.5 |
patchDVI Package to Patch '.dvi' or '.synctex' Files | 1.11.3 |
patchSynctex Communication Between Editor and Viewer for Literate Programs | 0.1-4 |
patchwork The Composer of Plots | 1.3.0 |
patentr Access USPTO Bulk Data in Tidy Rectangular Format | 0.1.4 |
patentsview An R Client to the 'PatentsView' API | 0.3.0 |
Path.Analysis Path Coefficient Analysis | 0.1 |
path.chain Concise Structure for Chainable Paths | 1.0.0 |
pathfindR Enrichment Analysis Utilizing Active Subnetworks | 2.4.1 |
pathfindR.data Data Package for 'pathfindR' | 2.1.0 |
pathling A Library for using 'Pathling' | 7.0.0 |
pathlit An SDK for the PathLit Engine | 0.1.0 |
pathmodelfit Path Component Fit Indices for Latent Structural Equation Models | 1.0.5 |
paths An Imputation Approach to Estimating Path-Specific Causal Effects | 0.1.1 |
pathview | 1.46.0 |
pathviewr Wrangle, Analyze, and Visualize Animal Movement Data | 1.1.7 |
PathwaySpace Spatial Projection of Network Signals along Geodesic Paths | 1.0.0 |
pathwayTMB Pathway Based Tumor Mutational Burden | 0.1.3 |
PatientProfiles Identify Characteristics of Patients in the OMOP Common Data Model | 1.2.3 |
patientProfilesVis Visualization of Patient Profiles | 2.0.9 |
patrick Parameterized Unit Testing | 0.2.0 |
patternator Feature Extraction from Female Brown Anole Lizard Dorsal Patterns | 0.1.0 |
patterncausality Pattern Causality Algorithm | 0.1.3 |
patternize Quantification of Color Pattern Variation | 0.0.5 |
patternplot Versatile Pie Charts, Ring Charts, Bar Charts and Box Plots using Patterns, Colors and Images | 1.0.0 |
Patterns Deciphering Biological Networks with Patterned Heterogeneous Measurements | 1.5 |
pavo Perceptual Analysis, Visualization and Organization of Spectral Colour Data | 2.9.0 |
pawacc Physical Activity with Accelerometers | 1.2.3 |
paws Amazon Web Services Software Development Kit | 0.7.0 |
paws.analytics 'Amazon Web Services' Analytics Services | 0.7.0 |
paws.application.integration 'Amazon Web Services' Application Integration Services | 0.7.0 |
paws.common Paws Low-Level Amazon Web Services API | 0.7.7 |
paws.compute 'Amazon Web Services' Compute Services | 0.7.0 |
paws.cost.management 'Amazon Web Services' Cost Management Services | 0.7.0 |
paws.customer.engagement 'Amazon Web Services' Customer Engagement Services | 0.7.0 |
paws.database 'Amazon Web Services' Database Services | 0.7.0 |
paws.developer.tools 'Amazon Web Services' Developer Tools Services | 0.7.0 |
paws.end.user.computing 'Amazon Web Services' End User Computing Services | 0.7.0 |
paws.machine.learning 'Amazon Web Services' Machine Learning Services | 0.7.0 |
paws.management 'Amazon Web Services' Management & Governance Services | 0.7.0 |
paws.networking 'Amazon Web Services' Networking & Content Delivery Services | 0.7.0 |
paws.security.identity 'Amazon Web Services' Security, Identity, & Compliance Services | 0.7.0 |
paws.storage 'Amazon Web Services' Storage Services | 0.7.0 |
pawscore Pain Assessment at Withdrawal Speeds (PAWS) | 1.0.3 |
pbANOVA Parametric Bootstrap for ANOVA Models | 0.1.0 |
pbapply Adding Progress Bar to '*apply' Functions | 1.7-2 |
pbatR Pedigree/Family-Based Genetic Association Tests Analysis and Power | 2.2-17 |
pbbd Position Balanced and Nearly Position Balanced Block Designs | 1.0.0 |
pbcc Percentile-Based Control Chart | 0.0.7 |
PBD Protracted Birth-Death Model of Diversification | 1.4 |
pbdMPI R Interface to MPI for HPC Clusters (Programming with Big Data Project) | 0.5-2 |
pbdSLAP Programming with Big Data -- Scalable Linear Algebra Packages | 0.3-7 |
pbdZMQ Programming with Big Data -- Interface to 'ZeroMQ' | 0.3-11 |
PBIBD Partially Balanced Incomplete Block Designs | 1.3 |
PBImisc A Set of Datasets Used in My Classes or in the Book 'Modele Liniowe i Mieszane w R, Wraz z Przykladami w Analizie Danych' | 1.0 |
PBIR Estimating the Probability of Being in Response and Related Outcomes | 0.1-0 |
pbivnorm Vectorized Bivariate Normal CDF | 0.6.0 |
pbkrtest Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models | 0.5.3 |
pbm Protein Binding Models | 1.2.1 |
pbmcapply Tracking the Progress of Mc*pply with Progress Bar | 1.5.1 |
PBNPA Permutation Based Non-Parametric Analysis of CRISPR Screen Data | 0.0.3 |
pbo Probability of Backtest Overfitting | 1.3.5 |
pbox Exploring Multivariate Spaces with Probability Boxes | 0.1.8 |
pbr Find a Cold One Near You | 0.0.2 |
pBrackets Plot Brackets | 1.0.1 |
pbs Periodic B Splines | 1.1 |
PBSadmb ADMB for R Using Scripts or GUI | 1.1.6 |
PBSddesolve Solver for Delay Differential Equations | 1.13.4 |
PBSmapping Mapping Fisheries Data and Spatial Analysis Tools | 2.74.1 |
PBSmodelling GUI Tools Made Easy: Interact with Models and Explore Data | 2.69.3 |
PBtDesigns Partially Balanced t-Designs (PBtDesigns) | 1.0.0 |
pbv Probabilities for Bivariate Normal Distribution | 0.5-47 |
pcadapt Fast Principal Component Analysis for Outlier Detection | 4.4.0 |
PCADSC Tools for Principal Component Analysis-Based Data Structure Comparisons | 0.8.0 |
pcal Calibration of P-Values for Point Null Hypothesis Testing | 1.0.0 |
pcaL1 L1-Norm PCA Methods | 1.5.7 |
pcalg Methods for Graphical Models and Causal Inference | 2.7-12 |
pCalibrate Bayesian Calibrations of p-Values | 0.2-1 |
pcalls Pricing of Different Types of Call | 1.0 |
PCAmatchR Match Cases to Controls Based on Genotype Principal Components | 0.3.3 |
pcaMethods | 1.98.0 |
PCAmixdata Multivariate Analysis of Mixed Data | 3.1 |
pcaone Fast and Accurate Randomized Singular Value Decomposition Algorithms with 'PCAone' | 1.1.0 |
PCAPAM50 Enhanced 'PAM50' Subtyping of Breast Cancer | 1.0.2 |
pcaPP Robust PCA by Projection Pursuit | 2.0-5 |
PCAtools | 2.18.0 |
pcatsAPIclientR 'PCATS' API Client | 1.1.0 |
PCBS Principal Component BiSulfite | 0.1.1 |
pccc Pediatric Complex Chronic Conditions | 1.0.5 |
PCDimension Finding the Number of Significant Principal Components | 1.1.13 |
pcdpca Dynamic Principal Components for Periodically Correlated Functional Time Series | 0.4 |
pcds Proximity Catch Digraphs and Their Applications | 0.1.8 |
pcds.ugraph Underlying Graphs of Proximity Catch Digraphs and Their Applications | 0.1.1 |
pcensmix Model Fitting to Progressively Censored Mixture Data | 1.2-1 |
pcev Principal Component of Explained Variance | 2.2.2 |
pcFactorStan Stan Models for the Paired Comparison Factor Model | 1.5.4 |
PCFAM Computation of Ancestry Scores with Mixed Families and Unrelated Individuals | 1.0 |
pcg Preconditioned Conjugate Gradient Algorithm for solving Ax=b | 1.1 |
pcgen Reconstruction of Causal Networks for Data with Random Genetic Effects | 0.2.0 |
PCGII Partial Correlation Graph with Information Incorporation | 1.1.2 |
PCGSE Principal Component Gene Set Enrichment | 0.5.0 |
pch Piecewise Constant Hazard Models for Censored and Truncated Data | 2.1 |
pchc Bayesian Network Learning with the PCHC and Related Algorithms | 1.3 |
pci A Collection of Process Capability Index Functions | 1.0.1 |
PCICt Implementation of POSIXct Work-Alike for 365 and 360 Day Calendars | 0.5-4.4 |
pcIRT IRT Models for Polytomous and Continuous Item Responses | 0.2.4 |
PCL Proximal Causal Learning | 1.0 |
pcLasso Principal Components Lasso | 1.2 |
PCLassoReg Group Regression Models for Risk Protein Complex Identification | 1.0.0 |
pcmabc Approximate Bayesian Computations for Phylogenetic Comparative Methods | 1.1.3 |
PCMBase Simulation and Likelihood Calculation of Phylogenetic Comparative Models | 1.2.14 |
PCMBaseCpp Fast Likelihood Calculation for Phylogenetic Comparative Models | 0.1.9 |
PCMRS Model Response Styles in Partial Credit Models | 0.1-4 |
pcnetmeta Patient-Centered Network Meta-Analysis | 2.8 |
pco Panel Cointegration Tests | 1.0.1 |
PCObw Bandwidth Selector with Penalized Comparison to Overfitting Criterion | 0.0.1 |
pCODE Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method | 0.9.4 |
PCovR Principal Covariates Regression | 2.7.2 |
PCPS Principal Coordinates of Phylogenetic Structure | 1.0.7 |
pcr Analyzing Real-Time Quantitative PCR Data | 1.2.2 |
PCRA Companion to Portfolio Construction and Risk Analysis | 1.2 |
PCS Calculate the Probability of Correct Selection (PCS) | 1.3 |
pcse Panel-Corrected Standard Error Estimation in R | 1.9.1.1 |
PCSinR Parallel Constraint Satisfaction Networks in R | 0.1.0 |
pcsstools Tools for Regression Using Pre-Computed Summary Statistics | 0.1.2 |
pcSteiner Convenient Tool for Solving the Prize-Collecting Steiner Tree Problem | 1.0.0.1 |
pct Propensity to Cycle Tool | 0.9.9 |
pctax Professional Comprehensive Omics Data Analysis | 0.1.3 |
pcts Periodically Correlated and Periodically Integrated Time Series | 0.15.7 |
pcutils Some Useful Functions for Statistics and Visualization | 0.2.7 |
pcv Procrustes Cross-Validation | 1.1.0 |
pcvr Plant Phenotyping and Bayesian Statistics | 1.1.1.0 |
pda Privacy-Preserving Distributed Algorithms | 1.2.7 |
pdc Permutation Distribution Clustering | 1.0.3 |
PDE Extract Tables and Sentences from PDFs with User Interface | 1.4.10 |
pder Panel Data Econometrics with R | 1.0-2 |
pdfCluster Cluster Analysis via Nonparametric Density Estimation | 1.0-4 |
PDFEstimator Multivariate Nonparametric Probability Density Estimator | 4.5 |
pdfetch Fetch Economic and Financial Time Series Data from Public Sources | 0.3.2 |
pdfminer Read Portable Document Format (PDF) Files | 1.0 |
pdfsearch Search Tools for PDF Files | 0.3.0 |
pdftables Programmatic Conversion of PDF Tables | 0.1 |
pdftools Text Extraction, Rendering and Converting of PDF Documents | 3.4.1 |
pdi Phenotypic Index Measures for Oak Decline Severity | 0.4.2 |
pdist Partitioned Distance Function | 1.2.1 |
PDM Photogrammetric Distances Measurer | 0.1 |
PDMIF Fits Heterogeneous Panel Data Models | 0.1.0 |
pdmod Proximal/Distal Modeling Framework for Pavlovian Conditioning Phenomena | 1.0.1 |
PDN Personalized Disease Network | 0.1.0 |
pdp Partial Dependence Plots | 0.8.2 |
PdPDB Pattern Discovery in PDB Structures of Metalloproteins | 2.0.1 |
pdqr Work with Custom Distribution Functions | 0.3.1 |
PDQutils PDQ Functions via Gram Charlier, Edgeworth, and Cornish Fisher Approximations | 0.1.6 |
pdR Threshold Model and Unit Root Tests in Cross-Section and Time Series Data | 1.9.3 |
PDSCE Positive Definite Sparse Covariance Estimators | 1.2.1 |
PDShiny 'Probability Distribution Shiny' | 0.1.0 |
pdSpecEst An Analysis Toolbox for Hermitian Positive Definite Matrices | 1.2.4 |
pdt Permutation Distancing Test | 0.0.2 |
PDtoolkit Collection of Tools for PD Rating Model Development and Validation | 1.2.0 |
PDXpower Time to Event Outcome in Experimental Designs of Pre-Clinical Studies | 1.0.3 |
pdxTrees Data Package of Portland, Oregon Trees | 0.4.0 |
pdynmc Moment Condition Based Estimation of Linear Dynamic Panel Data Models | 0.9.11 |
peacesciencer Tools and Data for Quantitative Peace Science Research | 1.1.0 |
PEACH Pareto Enrichment Analysis for Combining Heterogeneous Datasets | 0.1.1 |
Peacock.test Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Tests | 1.0 |
peacots Periodogram Peaks in Correlated Time Series | 1.3.2 |
PeakError Compute the Label Error of Peak Calls | 2023.9.4 |
peakRAM Monitor the Total and Peak RAM Used by an Expression or Function | 1.0.2 |
PeakSegDisk Disk-Based Constrained Change-Point Detection | 2024.10.1 |
PeakSegDP Dynamic Programming Algorithm for Peak Detection in ChIP-Seq Data | 2024.1.24 |
PeakSegJoint Joint Peak Detection in Several ChIP-Seq Samples | 2024.12.4 |
PeakSegOptimal Optimal Segmentation Subject to Up-Down Constraints | 2024.10.1 |
pearson7 Maximum Likelihood Inference for the Pearson VII Distribution with Shape Parameter 3/2 | 1.0-3 |
PearsonDS Pearson Distribution System | 1.3.1 |
PearsonICA Independent Component Analysis using Score Functions from the Pearson System | 1.2-5 |
pec Prediction Error Curves for Risk Prediction Models in Survival Analysis | 2023.04.12 |
pecora Permutation Conditional Random Tests | 0.1.1 |
pedalfast.data PEDALFAST Data | 1.0.2 |
pedbp Pediatric Blood Pressure | 2.0.1 |
pedbuildr Pedigree Reconstruction | 0.3.0 |
pedFamilias Import and Export 'Familias' Files | 0.2.4 |
pedgene Gene-Level Variant Association Tests for Pedigree Data | 3.9 |
pedigree Pedigree Functions | 1.4.2 |
pedigreemm Pedigree-Based Mixed-Effects Models | 0.3-5 |
pedigreeTools Versatile Functions for Working with Pedigrees | 0.3 |
pedMermaid Pedigree Mermaid Syntax | 1.0.2 |
pedmod Pedigree Models | 0.2.4 |
pedmut Mutation Models for Pedigree Likelihood Computations | 0.7.1 |
pedometrics Miscellaneous Pedometric Tools | 0.12.1 |
pedprobr Probability Computations on Pedigrees | 0.9.4 |
pedquant Public Economic Data and Quantitative Analysis | 0.2.4 |
pedSimulate Pedigree, Genetic Merit, Phenotype, and Genotype Simulation | 1.4.3 |
pedsuite Easy Installation of the 'pedsuite' Packages for Pedigree Analysis | 1.3.1 |
pedtools Creating and Working with Pedigrees and Marker Data | 2.7.1 |
pedtricks Visualize, Summarize and Simulate Data from Pedigrees | 0.4.2 |
peermodels Client-Side R API Wrapper for Peer Models Network Model Repository | 0.10.3 |
PeerPerformance Luck-Corrected Peer Performance Analysis in R | 2.3.1 |
pegas Population and Evolutionary Genetics Analysis System | 1.3 |
PEGroupTesting Population Proportion Estimation using Group Testing | 1.0 |
PEIMAN2 Post-Translational Modification Enrichment, Integration, and Matching Analysis | 0.1.0 |
PEIP Geophysical Inverse Theory and Optimization | 2.2-5 |
PEkit Partition Exchangeability Toolkit | 1.0.0.1000 |
pell Data About Historic Pell Grant Distribution in the US | 0.1.0 |
PELVIS Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae | 2.0.4 |
pema Penalized Meta-Analysis | 0.1.3 |
pempi Proportion Estimation with Marginal Proxy Information | 1.0.0 |
pems.utils Portable Emissions (and Other Mobile) Measurement System Utilities | 0.2.29.1 |
pemultinom L1-Penalized Multinomial Regression with Statistical Inference | 0.1.0 |
penAFT Fit the Regularized Gehan Estimator with Elastic Net and Sparse Group Lasso Penalties | 0.3.0 |
penalized L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation in GLMs and in the Cox Model | 0.9-52 |
penalizedcdf Estimate a Penalized Linear Model using the CDF Penalty Function | 0.1.0 |
penalizedclr Integrative Penalized Conditional Logistic Regression | 2.0.0 |
penalizedSVM Feature Selection SVM using Penalty Functions | 1.1.4 |
penaltyLearning Penalty Learning | 2024.9.3 |
pencal Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival | 2.2.2 |
pencopulaCond Estimating Non-Simplified Vine Copulas Using Penalized Splines | 0.2 |
PenCoxFrail Regularization in Cox Frailty Models | 2.0.0 |
pendensity Density Estimation with a Penalized Mixture Approach | 0.2.13 |
penfa Single- And Multiple-Group Penalized Factor Analysis | 0.1.1 |
PenIC Semiparametric Regression Analysis of Interval-Censored Data using Penalized Splines | 1.0.0 |
penMSM Estimating Regularized Multi-state Models Using L1 Penalties | 0.99 |
penPHcure Variable Selection in PH Cure Model with Time-Varying Covariates | 1.0.2 |
penppml Penalized Poisson Pseudo Maximum Likelihood Regression | 0.2.3 |
pense Penalized Elastic Net S/MM-Estimator of Regression | 2.2.2 |
pensim Simulation of High-Dimensional Data and Parallelized Repeated Penalized Regression | 1.3.6 |
pensynth Penalized Synthetic Control Estimation | 0.5.1 |
peopleanalytics Data Sets for Craig Starbuck's Book, "The Fundamentals of People Analytics: With Applications in R" | 0.1.0 |
peopleanalyticsdata Data Sets for Keith McNulty's Handbook of Regression Modeling in People Analytics | 0.2.1 |
pEPA Tests of Equal Predictive Accuracy for Panels of Forecasts | 1.0 |
PEPBVS Bayesian Variable Selection using Power-Expected-Posterior Prior | 2.1 |
pepe Data Manipulation | 1.2.0 |
peperr Parallelised Estimation of Prediction Error | 1.5 |
PepMapViz A Versatile Toolkit for Peptide Mapping, Visualization, and Comparative Exploration | 1.0.0 |
peppm Piecewise Exponential Distribution with Random Time Grids | 0.0.1 |
pepr Reading Portable Encapsulated Projects | 0.5.0 |
PepSAVIms PepSAVI-MS Data Analysis | 0.9.1 |
Peptides Calculate Indices and Theoretical Physicochemical Properties of Protein Sequences | 2.4.6 |
peptoolkit A Toolkit for Using Peptide Sequences in Machine Learning | 0.0.1 |
peramo Permutation Tests for Randomization Model | 0.1.3 |
perARMA Periodic Time Series Analysis | 1.7 |
Perc Using Percolation and Conductance to Find Information Flow Certainty in a Direct Network | 0.1.6 |
perccalc Estimate Percentiles from an Ordered Categorical Variable | 1.0.5 |
PerFit Person Fit | 1.4.6 |
PerfMeas Performance Measures for Ranking and Classification Tasks | 1.2.5 |
performance Assessment of Regression Models Performance | 0.12.4 |
PerformanceAnalytics Econometric Tools for Performance and Risk Analysis | 2.0.8 |
performanceEstimation An Infra-Structure for Performance Estimation of Predictive Models | 1.1.0 |
peRiodiCS Functions for Generating Periodic Curves | 0.5.0 |
PeriodicTable Periodic Table of the Elements | 0.1.2 |
periscope Enterprise Streamlined 'Shiny' Application Framework | 1.0.4 |
periscope2 Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash' | 0.2.3 |
PERK Predicting Environmental Concentration and Risk | 0.0.9.2 |
perm Exact or Asymptotic Permutation Tests | 1.0-0.4 |
PermAlgo Permutational Algorithm to Simulate Survival Data | 1.2 |
PERMANOVA Multivariate Analysis of Variance Based on Distances and Permutations | 0.2.0 |
PerMat Performance Metrics in Predictive Modeling | 0.1.0 |
permChacko Chacko Test for Order-Restriction with Permutation | 1.0.1 |
PermCor Robust Permutation Tests of Correlation Coefficients | 0.1.0 |
permGS Permutational Group Sequential Test for Time-to-Event Data | 0.2.5 |
permimp Conditional Permutation Importance | 1.0-2 |
permPATH Permutation Based Gene Expression Pathway Analysis | 1.3 |
perms Fast Permutation Computation | 1.14 |
permubiome A Permutation Based Test for Biomarker Discovery in Microbiome Data | 1.3.2 |
permuco Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals | 1.1.3 |
PermutationR Conduct Permutation Analysis of Variance in R | 0.1.0 |
permutations The Symmetric Group: Permutations of a Finite Set | 1.1-5 |
permute Functions for Generating Restricted Permutations of Data | 0.9-7 |
permutes Permutation Tests for Time Series Data | 2.8 |
permutest Run Permutation Tests and Construct Associated Confidence Intervals | 1.0.0 |
perplexR A Coding Assistant using Perplexity's Large Language Models | 0.0.3 |
PerRegMod Fitting Periodic Coefficients Linear Regression Models | 4.4.3 |
perry Resampling-Based Prediction Error Estimation for Regression Models | 0.3.1 |
perryExamples Examples for Integrating Prediction Error Estimation into Regression Models | 0.1.1 |
persDx Personalized Diagnostics Rules for Subgroup Identification and Personalized Biomarker Discovery | 0.5.0 |
PerseusR Perseus R Interop | 0.3.4 |
PersianStemmer Persian Stemmer for Text Analysis | 1.0 |
PersomicsArray Automated Persomics Array Image Extraction | 1.0 |
personalized Estimation and Validation Methods for Subgroup Identification and Personalized Medicine | 0.2.7 |
personalized2part Two-Part Estimation of Treatment Rules for Semi-Continuous Data | 0.0.1 |
personalr Automated Personal Package Setup | 1.0.3 |
personr Test Your Personality | 1.0.0 |
perspectev Permutation of Species During Turnover Events | 1.1 |
persval Computing Personal Values Scores | 1.1.1 |
perturbR Random Perturbation of Count Matrices | 0.1.3 |
peruflorads43 Reviewed Official Classification of Endangered Wild Flora Species in Peru | 0.1.1 |
peruse A Tidy API for Sequence Iteration and Set Comprehension | 0.3.1 |
perutimber Catalogue of the Timber Forest Species of the Peruvian Amazon | 0.1.0 |
pesel Automatic Estimation of Number of Principal Components in PCA | 0.7.5 |
PesticideLoadIndicator Computes Danish Pesticide Load Indicator | 1.3.1 |
pestr Interface to Download Data on Pests and Hosts from 'EPPO' | 0.8.2 |
Petersen Estimators for Two-Sample Capture-Recapture Studies | 2024.6.1 |
petersenlab A Collection of R Functions by the Petersen Lab | 1.0.0 |
PEtests Power-Enhanced (PE) Tests for High-Dimensional Data | 0.1.0 |
PetfindeR 'Petfinder' API Wrapper | 2.1.0 |
petitr Relative Growth Rate | 1.0 |
petrinetR Building, Visualizing, Exporting and Replaying Petri Nets | 0.3.0 |
pewdata Reproducible Retrieval of Pew Research Center Datasets | 0.3.2 |
pexm Loading a JAGS Module for the Piecewise Exponential Distribution | 1.1.3 |
pez Phylogenetics for the Environmental Sciences | 1.2-4 |
pfa Estimates False Discovery Proportion Under Arbitrary Covariance Dependence | 1.1 |
pfica Independent Components Analysis Techniques for Functional Data | 0.1.3 |
PFIM Population Fisher Information Matrix | 6.1 |
PFLR Estimating Penalized Functional Linear Regression | 1.1.0 |
pfr Interface to the 'C++' Library 'Pf' | 1.0.1 |
pg Polya Gamma Distribution Sampler | 0.2.4 |
PGaGEV Power Garima-Generalized Extreme Value Distribution | 0.1.0 |
pgam Poisson-Gamma Additive Models | 0.4.17 |
pgdraw Generate Random Samples from the Polya-Gamma Distribution | 1.1 |
PGEE Penalized Generalized Estimating Equations in High-Dimension | 1.5 |
pgee.mixed Penalized Generalized Estimating Equations for Bivariate Mixed Outcomes | 0.1.0 |
pgenlibr PLINK 2 Binary (.pgen) Reader | 0.3.7 |
pgirmess Spatial Analysis and Data Mining for Field Ecologists | 2.0.3 |
pgKDEsphere Parametrically Guided Kernel Density Estimator for Spherical Data | 1.0.1 |
pglm Panel Generalized Linear Models | 0.2-3 |
PGM2 Nested Resolvable Designs and their Associated Uniform Designs | 1.0-1 |
pgmm Parsimonious Gaussian Mixture Models | 1.2.7 |
pgnorm The p-Generalized Normal Distribution | 2.0 |
pGPx Pseudo-Realizations for Gaussian Process Excursions | 0.1.4 |
pgraph Build Dependency Graphs using Projection | 1.6 |
PGRdup Discover Probable Duplicates in Plant Genetic Resources Collections | 0.2.3.9 |
pGRN Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory Network Inference | 0.3.5 |
pgsc Computes Powell's Generalized Synthetic Control Estimator | 1.0.0 |
pgTools Functions for Generating PostgreSQL Statements/Scripts | 1.0.2 |
PH1XBAR Phase I Shewhart X-Bar Chart | 0.11.2 |
ph2bayes Bayesian Single-Arm Phase II Designs | 0.0.2 |
ph2bye Phase II Clinical Trial Design Using Bayesian Methods | 0.1.4 |
ph2mult Phase II Clinical Trial Design for Multinomial Endpoints | 0.1.1 |
phacking Sensitivity Analysis for p-Hacking in Meta-Analyses | 0.2.1 |
PhageCocktail Design of the Best Phage Cocktail | 1.0.3 |
phangorn Phylogenetic Reconstruction and Analysis | 2.12.1 |
phantSEM Create Phantom Variables in Structural Equation Models for Sensitivity Analyses | 1.0.0.0 |
pharmaRTF Enhanced RTF Wrapper for Use with Existing Table Packages | 0.1.4 |
pharmaverse Navigate 'Pharmaverse' | 0.0.2 |
pharmaverseadam ADaM Test Data for the 'Pharmaverse' Family of Packages | 1.1.0 |
pharmaversesdtm SDTM Test Data for the 'Pharmaverse' Family of Packages | 1.1.0 |
pharmr Interface to the 'Pharmpy' 'Pharmacometrics' Library | 1.4.0 |
phase Analyse Biological Time-Series Data | 1.2.9 |
Phase123 Simulating and Conducting Phase 123 Trials | 2.1 |
Phase12Compare Simulates SPSO and Efftox Phase 12 Trials with Correlated Outcomes | 1.5 |
phase1PRMD Personalized Repeated Measurement Design for Phase I Clinical Trials | 1.0.2 |
phase1RMD Repeated Measurement Design for Phase I Clinical Trial | 1.0.9 |
phaseR Phase Plane Analysis of One- And Two-Dimensional Autonomous ODE Systems | 2.2.1 |
PhaseType Inference for Phase-Type Distributions | 0.3.0 |
PhaseTypeR General-Purpose Phase-Type Functions | 1.0.4 |
phateR PHATE - Potential of Heat-Diffusion for Affinity-Based Transition Embedding | 1.0.7 |
PHclust Poisson Hurdle Clustering for Sparse Microbiome Data | 0.1.0 |
phd Permutation Testing in High-Dimensional Linear Models | 0.2 |
phdcocktail Enhance the Ease of R Experience as an Emerging Researcher | 0.1.0 |
pheatmap Pretty Heatmaps | 1.0.12 |
pheble Classifying High-Dimensional Phenotypes with Ensemble Learning | 0.1.0 |
PheCAP High-Throughput Phenotyping with EHR using a Common Automated Pipeline | 1.2.1 |
phecodemap Visualization for PheCode Mapping with ICD-9 and ICD-10-CM Codes | 0.1.0 |
PHEindicatormethods Common Public Health Statistics and their Confidence Intervals | 2.1.0 |
phenesse Estimate Phenological Metrics using Presence-Only Data | 0.1.2 |
phenex Auxiliary Functions for Phenological Data Analysis | 1.4-5 |
PHENIX Phenotypic Integration Index | 1.3.1 |
phenmod Auxiliary Functions for Phenological Data Processing, Modelling and Result Handling | 1.2-7 |
phenModel Insect Phenology Model Evaluation Based on Daily Temperatures | 1.0 |
pheno Auxiliary Functions for Phenological Data Analysis | 1.7-0 |
phenocamr Facilitates 'PhenoCam' Data Access and Time Series Post-Processing | 1.1.5 |
phenoCDM Continuous Development Models for Incremental Time-Series Analysis | 0.1.3 |
phenofit Extract Remote Sensing Vegetation Phenology | 0.3.9 |
phenolocrop Time-Series Models to the Crop Phenology | 0.0.2 |
phenology Tools to Manage a Parametric Function that Describes Phenology and More | 10.1 |
phenomap Projecting Satellite-Derived Phenology in Space | 2.0.1 |
phenopix Process Digital Images of a Vegetation Cover | 2.4.4 |
PheNorm Unsupervised Gold-Standard Label Free Phenotyping Algorithm for EHR Data | 0.1.0 |
Phenotype A Tool for Phenotypic Data Processing | 0.1.0 |
PhenotypeSimulator Flexible Phenotype Simulation from Different Genetic and Noise Models | 0.3.4 |
PHENTHAUproc Phenology Modelling of Thaumetopoea Processionea | 1.1 |
phers Calculate Phenotype Risk Scores | 1.0.2 |
PHeval Evaluation of the Proportional Hazards Assumption and Test for Comparing Survival Curves with a Standardized Score Process | 1.1 |
PheVis Automatic Phenotyping of Electronic Health Record at Visit Resolution | 1.0.4 |
Phi2rho Owen's T Function and Bivariate Normal Integral | 1.0.1 |
phia Post-Hoc Interaction Analysis | 0.3-1 |
phiDelta Tool for Phi Delta Analysis of Features | 1.0.1 |
philentropy Similarity and Distance Quantification Between Probability Functions | 0.9.0 |
PhilipsHue R Interface to the Philips Hue API | 1.0.0 |
PHInfiniteEstimates Tools for Inference in the Presence of a Monotone Likelihood | 2.9.5 |
PhitestR Analyzing the Heterogeneity of Single-Cell Populations | 0.2.0 |
phm Phrase Mining | 1.1.2 |
phoenics Pathways Longitudinal and Differential Analysis in Metabolomics | 0.4 |
phoenix The Phoenix Pediatric Sepsis and Septic Shock Criteria | 1.1.1 |
phonenumber Convert Letters to Numbers and Back as on a Telephone Keypad | 0.2.3 |
phonfieldwork Linguistic Phonetic Fieldwork Tools | 0.0.17 |
phonics Phonetic Spelling Algorithms | 1.3.10 |
phonR Tools for Phoneticians and Phonologists | 1.0-7 |
phonTools Tools for Phonetic and Acoustic Analyses | 0.2-2.2 |
phosphoricons 'Phosphor' Icons for R | 0.2.1 |
photobiology Photobiological Calculations | 0.11.4 |
photobiologyFilters Spectral Transmittance and Spectral Reflectance Data | 0.6.0 |
photobiologyInOut Read Spectral and Logged Data from Foreign Files | 0.4.29 |
photobiologyLamps Spectral Irradiance Data for Lamps | 0.5.2 |
photobiologyLEDs Spectral Data for Light-Emitting-Diodes | 0.5.2 |
photobiologyPlants Plant Photobiology Related Functions and Data | 0.5.0 |
photobiologySensors Response Data for Light Sensors | 0.5.1 |
photobiologySun Data for Sunlight Spectra | 0.5.0 |
photobiologyWavebands Waveband Definitions for UV, VIS, and IR Radiation | 0.5.2 |
photon High-Performance Geocoding using 'photon' | 0.3.1 |
PhotosynQ Connect to PhotosynQ | 0.2.3 |
photosynthesis Tools for Plant Ecophysiology & Modeling | 2.1.5 |
phrases Phrasal Verbs in English Club Website | 0.1 |
phreeqc R Interface to Geochemical Modeling Software | 3.8.5 |
phsmethods Standard Methods for Use in Public Health Scotland | 1.0.2 |
PHSMM Penalised Maximum Likelihood Estimation for Hidden Semi-Markov Models | 1.0 |
phuassess Proportional Habitat Use Assessment | 1.1 |
PhViD PharmacoVigilance Signal Detection | 1.0.8 |
phyclust Phylogenetic Clustering (Phyloclustering) | 0.1-34 |
phyext2 An Extension (for Package 'SigTree') of Some of the Classes in Package 'phylobase' | 0.0.4 |
phylepic Combined Visualisation of Phylogenetic and Epidemiological Data | 0.2.0 |
phylin Spatial Interpolation of Genetic Data | 2.0.2 |
phylobase Base Package for Phylogenetic Structures and Comparative Data | 0.8.12 |
phylocanvas Interactive Phylogenetic Trees Using the 'Phylocanvas' JavaScript Library | 0.1.3 |
phyloclim Integrating Phylogenetics and Climatic Niche Modeling | 0.9.5 |
phylocomr Interface to 'Phylocom' | 0.3.4 |
PhylogeneticEM Automatic Shift Detection using a Phylogenetic EM | 1.7.0 |
PHYLOGR Functions for Phylogenetically Based Statistical Analyses | 1.0.11 |
phylogram Dendrograms for Evolutionary Analysis | 2.1.0 |
phylolm Phylogenetic Linear Regression | 2.6.5 |
phylolm.hp Hierarchical Partitioning of R2 for Phylogenetic Linear Regression | 0.0-3 |
phylometrics Estimating Statistical Errors of Phylogenetic Metrics | 0.0.1 |
phylopairs Comparative Analyses of Lineage-Pair Traits | 0.1.0 |
phylopath Perform Phylogenetic Path Analysis | 1.3.0 |
phyloraster Evolutionary Diversity Metrics for Raster Data | 2.1.0 |
phyloregion Biogeographic Regionalization and Macroecology | 1.0.8 |
phylosamp Sample Size Calculations for Molecular and Phylogenetic Studies | 1.0.1 |
phylosem Phylogenetic Structural Equation Model | 1.1.4 |
phyloseq | 1.50.0 |
phyloseqGraphTest Graph-Based Permutation Tests for Microbiome Data | 0.1.1 |
phylosignal Exploring the Phylogenetic Signal in Continuous Traits | 1.3.1 |
phylotate Phylogenies with Annotations | 1.3 |
phylotools Phylogenetic Tools for Eco-Phylogenetics | 0.2.2 |
phyloTop Calculating Topological Properties of Phylogenies | 2.1.2 |
phylotypr Classifying DNA Sequences to Taxonomic Groupings | 0.1.0 |
phylter Detect and Remove Outliers in Phylogenomics Datasets | 0.9.11 |
phyr Model Based Phylogenetic Analysis | 1.1.0 |
phyreg The Phylogenetic Regression of Grafen (1989) | 1.0.2 |
PhysActBedRest Marks Periods of 'Bedrest' in Actigraph Accelerometer Data | 1.1 |
PhysicalActivity Process Accelerometer Data for Physical Activity Measurement | 0.2-4 |
physiology Calculate physiologic characteristics of awake and anesthetized adults, children and infants | 1.2.1 |
PhySortR A Fast, Flexible Tool for Sorting Phylogenetic Trees | 1.0.8 |
phytoclass Estimate Chla Concentrations of Phytoplankton Groups | 2.0.0 |
phytools Phylogenetic Tools for Comparative Biology (and Other Things) | 2.3-0 |
PhytosanitaryCalculator Phytosanitary Calculator for Inspection Plans Based on Risks | 1.1.1 |
piar Price Index Aggregation | 0.8.1 |
picante Integrating Phylogenies and Ecology | 1.8.2 |
picasso Pathwise Calibrated Sparse Shooting Algorithm | 1.3.1 |
PICBayes Bayesian Models for Partly Interval-Censored Data | 1.0 |
picClip Paste Box Input for 'Shiny' | 0.1.0 |
picker Pick Data Points from a Deck.gl Scatterplot | 0.2.6 |
picohdr Read, Write and Manipulate High Dynamic Range Images | 0.1.1 |
picR Predictive Information Criteria for Model Selection | 1.0.0 |
pid Process Improvement using Data | 0.50 |
PieceExpIntensity Bayesian Model to Find Changepoints Based on Rates and Count Data | 1.0.4 |
piecemaker Tools for Preparing Text for Tokenizers | 1.0.2 |
piecenorms Calculate a Piecewise Normalised Score Using Class Intervals | 1.1.0 |
piecepackr Board Game Graphics | 1.13.11 |
piecewiseSEM Piecewise Structural Equation Modeling | 2.3.0.1 |
PieGlyph Axis Invariant Scatter Pie Plots | 1.0.0 |
piggyback Managing Larger Data on a GitHub Repository | 0.1.5 |
pii Search Data Frames for Personally Identifiable Information | 1.0.0 |
Pijavski Global Univariate Minimization | 1.0.3 |
pikchr R Wrapper for 'pikchr' (PIC) Diagram Language | 1.0 |
pillar Coloured Formatting for Columns | 1.9.0 |
pim Fit Probabilistic Index Models | 2.0.2 |
pimeta Prediction Intervals for Random-Effects Meta-Analysis | 1.1.3 |
pinfsc50 Sequence ('FASTA'), Annotation ('GFF') and Variants ('VCF') for 17 Samples of 'P. Infestans" and 1 'P. Mirabilis' | 1.3.0 |
pingers Identify, Ping, and Log Internet Provider Connection Data | 0.1.1 |
pingr Check if a Remote Computer is Up | 2.0.5 |
PINMA Improved Methods for Constructing Prediction Intervals for Network Meta-Analysis | 1.1-2 |
pinnacle.data Market Odds Data from Pinnacle | 0.1.4 |
pinochet Data About the Victims of the Pinochet Regime, 1973-1990 | 0.1.0 |
pinp 'pinp' is not 'PNAS' | 0.0.11 |
pins Pin, Discover, and Share Resources | 1.4.0 |
PINSPlus Clustering Algorithm for Data Integration and Disease Subtyping | 2.0.7 |
PINstimation Estimation of the Probability of Informed Trading | 0.1.2 |
pinterestadsR Access to Pinterest Ads via the 'Windsor.ai' API | 0.1.0 |
pinyin Convert Chinese Characters into Pinyin, Sijiao, Wubi or Other Codes | 1.1.6 |
pioneeR Productivity and Efficiency Analysis using DEA | 0.5.0 |
pipe.design Dual-Agent Dose Escalation for Phase I Trials using the PIPE Design | 0.5.1 |
pipebind Flexible Binding for Complex Function Evaluation with the Base R |> Pipe | 0.1.2 |
pipefittr Convert Nested Functions to Pipes | 0.1.2 |
pipeliner Machine Learning Pipelines for R | 0.1.1 |
pipenostics Diagnostics, Reliability and Predictive Maintenance of Pipeline Systems | 0.2.0 |
pipeR Multi-Paradigm Pipeline Implementation | 0.6.1.3 |
piqp R Interface to Proximal Interior Point Quadratic Programming Solver | 0.2.2 |
piratings Calculate Pi Ratings for Teams Competing in Sport Matches | 0.1.9 |
pisaRT Small Example Response and Response Time Data from PISA 2018 | 2.0.2 |
piton Parsing Expression Grammars in Rcpp | 1.0.0 |
pivmet Pivotal Methods for Bayesian Relabelling and k-Means Clustering | 0.6.0 |
pivotaltrackR A Client for the 'Pivotal Tracker' API | 0.2.0 |
pivotea Create Pivot Table Easily | 1.0.2 |
pivottabler Create Pivot Tables | 1.5.5 |
piwikproR Access 'Piwik Pro' Website Statistics | 0.4.0 |
pixarfilms Pixar Films and Achievements | 0.2.1 |
pixelclasser Classifies Image Pixels by Colour | 1.1.1 |
pixelpuzzle Puzzle Game for the R Console | 1.0.1 |
pixels Tools for Working with Image Pixels | 0.1.1 |
pixiedust Tables so Beautifully Fine-Tuned You Will Believe It's Magic | 0.9.4 |
pixmap Bitmap Images / Pixel Maps | 0.4-13 |
PJFM Variational Inference for High-Dimensional Joint Frailty Model | 0.1.0 |
PK Basic Non-Compartmental Pharmacokinetics | 1.3-6 |
pk.unit.trans Achieve Numerical Conversion Between Units Commonly Used in Pharmacokinetics | 0.1.0 |
pk4adi PK for Anesthetic Depth Indicators | 0.1.3.2 |
PKbioanalysis Pharmacokinetic Bioanalysis Experiments Design and Exploration | 0.2.0 |
PKconverter The Parameter Converter of the Pharmacokinetic Models | 1.5 |
pkdata Creates Pharmacokinetic/Pharmacodynamic (PK/PD) Data | 0.1.0 |
pkgbuild Find Tools Needed to Build R Packages | 1.4.5 |
pkgcache Cache 'CRAN'-Like Metadata and R Packages | 2.2.3 |
pkgcond Classed Error and Warning Conditions | 0.1.1 |
pkgconfig Private Configuration for 'R' Packages | 2.0.3 |
pkgdepends Package Dependency Resolution and Downloads | 0.8.0 |
pkgdepR Statically Determine Function Dependencies Between Packages | 1.1.1 |
pkgdown Make Static HTML Documentation for a Package | 2.1.1 |
pkgfilecache Download and Manage Optional Package Data | 0.1.5 |
pkggraph A Consistent and Intuitive Platform to Explore the Dependencies of Packages on the Comprehensive R Archive Network Like Repositories | 0.2.3 |
pkgGraphR Graph the Relationship Between Functions in an R Package | 0.2.0 |
pkgKitten Create Simple Packages Which Do not Upset R Package Checks | 0.2.4 |
pkglite Compact Package Representations | 0.2.4 |
pkgload Simulate Package Installation and Attach | 1.4.0 |
pkgmaker Development Utilities for R Packages | 0.32.10 |
pkgndep Analyze Dependency Heaviness of R Packages | 1.99.3 |
pkgnet Get Network Representation of an R Package | 0.5.0 |
pkgnews Retrieve R Package News Files | 0.0.2 |
pkgsearch Search and Query CRAN R Packages | 3.1.3 |
pkgverse Build a Meta-Package Universe | 0.0.1 |
PKI Public Key Infrastucture for R Based on the X.509 Standard | 0.1-14 |
PKLMtest Classification Based MCAR Test | 1.0.1 |
pkmon Least-Squares Estimator under k-Monotony Constraint for Discrete Functions | 1.1 |
PKNCA Perform Pharmacokinetic Non-Compartmental Analysis | 0.11.0 |
PKPDsim Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations | 1.4.0 |
pkr Pharmacokinetics in R | 0.1.3 |
pks Probabilistic Knowledge Structures | 0.6-1 |
pKSEA Prediction-Based Kinase-Substrate Enrichment Analysis | 0.0.1 |
pksensi Global Sensitivity Analysis in Physiologically Based Kinetic Modeling | 1.2.3 |
PL94171 Tabulate P.L. 94-171 Redistricting Data Summary Files | 1.1.2 |
plac A Pairwise Likelihood Augmented Cox Estimator for Left-Truncated Data | 0.1.3 |
placer PLastic ACcumulation Estimate using R (PLACER) | 0.1.3 |
PlackettLuce Plackett-Luce Models for Rankings | 0.4.3 |
plainview Plot Raster Images Interactively on a Plain HTML Canvas | 0.2.1 |
plan Tools for Project Planning | 0.4-5 |
PlaneGeometry Plane Geometry | 1.6.0 |
Planesmuestra Functions for Calculating Dodge Romig, MIL STD 105E and MIL STD 414 Acceptance Sampling Plan | 0.1 |
PlanetNICFI Processing of the 'Planet NICFI' Satellite Imagery | 1.0.5 |
planets Simple and Accessible Data from all Known Planets | 0.1.0 |
planningML A Sample Size Calculator for Machine Learning Applications in Healthcare | 1.0.1 |
planr Tools for Supply Chain Management, Demand and Supply Planning | 0.4.2 |
planscorer Score Redistricting Plans with 'PlanScore' | 0.0.2 |
plantecophys Modelling and Analysis of Leaf Gas Exchange Data | 1.4-6 |
plantecowrap Enhancing Capabilities of 'plantecophys' | 1.0.4 |
plantphysioR Fundamental Formulas for Plant Physiology | 1.0.0 |
plantTracker Extract Demographic and Competition Data from Fine-Scale Maps | 1.1.0 |
plaqr Partially Linear Additive Quantile Regression | 2.0 |
plasma Partial LeAst Squares for Multiomic Analysis | 1.1.3 |
PlasmaMutationDetector Tumor Mutation Detection in Plasma | 1.7.2 |
PlasmaMutationDetector2 Tumor Mutation Detection in Plasma using Barcoding | 1.1.11 |
Plasmidprofiler Visualization of Plasmid Profile Results | 0.1.6 |
plasso Cross-Validated (Post-) Lasso | 0.1.2 |
plater Read, Tidy, and Display Data from Microtiter Plates | 1.0.5 |
platetools Tools and Plots for Multi-Well Plates | 0.1.7 |
PlatformDesign Optimal Two-Period Multiarm Platform Design with New Experimental Arms Added During the Trial | 2.1.4 |
platowork Data from a Test of the PlatoWork tDCS Headset | 0.0.1 |
plattice Lattice Plot for Panel Data | 1.1 |
Platypus Single-Cell Immune Repertoire and Gene Expression Analysis | 3.6.0 |
play Visualize Sports Data | 0.1.3 |
PlayerChart Generate Pizza Chart: Player Stats 0-100 | 1.0.0 |
PlayerRatings Dynamic Updating Methods for Player Ratings Estimation | 1.1-0 |
pldamixture Post-Linkage Data Analysis Based on Mixture Modelling | 0.1.1 |
plde Penalized Log-Density Estimation Using Legendre Polynomials | 0.1.2 |
pleio Pleiotropy Test for Multiple Traits on a Genetic Marker | 1.9 |
pleiotest Fast Sequential Pleiotropy Test | 1.0.0 |
pleLMA Pseudo-Likelihood Estimation of Log-Multiplicative Association Models | 0.2.1 |
PLEXI Multiplex Network Analysis | 1.0.0 |
PLFD Portmanteau Local Feature Discrimination for Matrix-Variate Data | 0.2.0 |
plfm Probabilistic Latent Feature Analysis | 2.2.6 |
plfMA A GUI to View, Design and Export Various Graphs of Data | 2.0 |
plgp Particle Learning of Gaussian Processes | 1.1-12 |
plgraphics User Oriented Plotting Functions | 1.2 |
pliman Tools for Plant Image Analysis | 3.0.0 |
PLindleyROC Receiver Operating Characteristic Based on Power Lindley Distribution | 0.1.2 |
plink IRT Separate Calibration Linking Methods | 1.5-1 |
plinkFile 'PLINK' (and 'GCTA') File Helpers | 0.2.1 |
plinkQC Genotype Quality Control with 'PLINK' | 0.3.4 |
PLIS Multiplicity Control using Pooled LIS Statistic | 1.2 |
plm Linear Models for Panel Data | 2.6-4 |
PLMIX Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings | 2.1.1 |
PLmixed Estimate (Generalized) Linear Mixed Models with Factor Structures | 0.1.7 |
plmmr Penalized Linear Mixed Models for Correlated Data | 4.1.0 |
pln Polytomous Logit-Normit (Graded Logistic) Model Estimation | 0.2-3 |
PLNmodels Poisson Lognormal Models | 1.2.0 |
plnr A System for Planing Analyses | 2022.11.23 |
plogr The 'plog' C++ Logging Library | 0.2.0 |
PLordprob Multivariate Ordered Probit Model via Pairwise Likelihood | 1.1 |
PLORN Prediction with Less Overfitting and Robust to Noise | 0.1.1 |
plot.matrix Visualizes a Matrix as Heatmap | 1.6.2 |
plot3D Plotting Multi-Dimensional Data | 1.4.1 |
plot3Drgl Plotting Multi-Dimensional Data - Using 'rgl' | 1.0.4 |
plot4fun Just Plot for Fun | 0.1.1 |
plotBart Diagnostic and Plotting Functions to Supplement 'bartCause' | 0.1.7 |
plotbb Grammar of Graphics for 'base' Plot | 0.0.6 |
PlotBivInvGaus Density Contour Plot for Bivariate Inverse Gaussian Distribution | 0.1.0 |
plotcli Command Line Interface Plotting | 0.1.0 |
PlotContour Plot Contour Line | 0.1.0 |
plotdap Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap' Package | 1.0.3 |
plotDK Plot Summary Statistics as Choropleth Maps of Danish Administrative Areas | 0.1.0 |
PlotFTIR Plot FTIR Spectra | 1.0.0 |
plotfunctions Various Functions to Facilitate Visualization of Data and Analysis | 1.4 |
plotGMM Tools for Visualizing Gaussian Mixture Models | 0.2.2 |
plothelper New Plots Based on 'ggplot2' and Functions to Create Regular Shapes | 0.1.9 |
plotHMM Plot Hidden Markov Models | 2023.8.28 |
plotluck 'ggplot2' Version of "I'm Feeling Lucky!" | 1.1.1 |
plotly Create Interactive Web Graphics via 'plotly.js' | 4.10.4 |
plotlyGeoAssets Render 'Plotly' Maps without an Internet Connection | 0.0.2 |
plotMCMC MCMC Diagnostic Plots | 2.0.1 |
plotMElm Plot Marginal Effects from Linear Models | 0.1.5 |
plotmm Tidy Tools for Visualizing Mixture Models | 0.1.1 |
plotmo Plot a Model's Residuals, Response, and Partial Dependence Plots | 3.6.4 |
plotor Produces an Odds Ratio Plot from a Logistic Regression Model | 0.5.1 |
plotpc Plot Principal Component Histograms Around a Scatter Plot | 1.0.4 |
PlotPrjNetworks Useful Networking Tools for Project Management | 1.0.0 |
plotprotein Development of Visualization Tools for Protein Sequence | 1.0 |
plotrix Various Plotting Functions | 3.8-4 |
plotROC Generate Useful ROC Curve Charts for Print and Interactive Use | 2.3.1 |
plotscale Scale Graphics Devices Using Plot Dimensions | 0.1.6 |
plotscaper Explore Your Data with Interactive Figures | 0.2.4 |
plotSEMM Graphing Nonlinear Relations Among Latent Variables from Structural Equation Mixture Models | 2.4 |
plotthis High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages | 0.4.0 |
PlotTools Add Continuous Legends to Plots | 0.3.1 |
plotwidgets Spider Plots, ROC Curves, Pie Charts and More for Use in Other Plots | 0.5.1 |
plpoisson Prediction Limits for Poisson Distribution | 0.3.1 |
PLreg Power Logit Regression for Modeling Bounded Data | 0.4.1 |
PLRModels Statistical Inference in Partial Linear Regression Models | 1.4 |
pls Partial Least Squares and Principal Component Regression | 2.8-5 |
plsdepot Partial Least Squares (PLS) Data Analysis Methods | 0.2.0 |
plsdof Degrees of Freedom and Statistical Inference for Partial Least Squares Regression | 0.3-2 |
plsgenomics PLS Analyses for Genomics | 1.5-3 |
PLSiMCpp Methods for Partial Linear Single Index Model | 1.0.4 |
plsmmLasso Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model | 1.1.0 |
plsmod Model Wrappers for Projection Methods | 1.0.0 |
plsmselect Linear and Smooth Predictor Modelling with Penalisation and Variable Selection | 0.2.0 |
plspm Partial Least Squares Path Modeling (PLS-PM) | 0.5.1 |
plsRbeta Partial Least Squares Regression for Beta Regression Models | 0.3.0 |
plsRcox Partial Least Squares Regression for Cox Models and Related Techniques | 1.7.7 |
plsRglm Partial Least Squares Regression for Generalized Linear Models | 1.5.1 |
plsVarSel Variable Selection in Partial Least Squares | 0.9.12 |
pltesim Simulate Probabilistic Long-Term Effects in Models with Temporal Dependence | 1.0 |
plu Dynamically Pluralize Phrases | 0.3.0 |
plugdensity Plug-in Kernel Density Estimation | 0.8-5 |
plumber An API Generator for R | 1.2.2 |
plumberDeploy Plumber Deployment | 0.2.1 |
plumbertableau Turn 'Plumber' APIs into 'Tableau' Extensions | 0.1.1 |
plumbr Mutable and Dynamic Data Models | 0.6.10 |
plume A Simple Author Handler for Scientific Writing | 0.2.5 |
pluscode Encoder for Google 'Pluscodes' | 0.1.0 |
plusCode2 Coordinates to 'Plus Code' Conversion Tool | 0.1.0 |
plutor Useful Functions for Visualization | 0.1.0 |
plyr Tools for Splitting, Applying and Combining Data | 1.8.9 |
plyranges | 1.26.0 |
pm3 Propensity Score Matching for Unordered 3-Group Data | 0.2.0 |
PMA Penalized Multivariate Analysis | 1.2-4 |
PMAPscore Identify Prognosis-Related Pathways Altered by Somatic Mutation | 0.1.1 |
pmartR Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data | 2.4.6 |
pmc Phylogenetic Monte Carlo | 1.0.6 |
pmcalibration Calibration Curves for Clinical Prediction Models | 0.1.0 |
pmclust Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixture Gaussian Model | 0.2-1 |
PMCMR Calculate Pairwise Multiple Comparisons of Mean Rank Sums | 4.4 |
PMCMRplus Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended | 1.9.12 |
pmd Paired Mass Distance Analysis for GC/LC-MS Based Non-Targeted Analysis and Reactomics Analysis | 0.2.1 |
pMEM Predictive Moran's Eigenvector Maps | 0.1-1 |
pmetar Processing METAR Weather Reports | 0.5.0 |
pmev Calculates Earned Value for a Project Schedule | 0.1.2 |
PMEvapotranspiration Calculation of the Penman-Monteith Evapotranspiration using Weather Variables | 0.1.0 |
pmhtutorial Minimal Working Examples for Particle Metropolis-Hastings | 1.5 |
pmlbr Interface to the Penn Machine Learning Benchmarks Data Repository | 0.2.2 |
pmledecon Deconvolution Density Estimation using Penalized MLE | 0.2.1 |
pmml Generate PMML for Various Models | 2.5.2 |
pmmlTransformations Transforms Input Data from a PMML Perspective | 1.3.3 |
pmparser Create and Maintain a Relational Database of Data from PubMed/MEDLINE | 1.0.20 |
pmr Probability Models for Ranking Data | 1.2.5.1 |
pmsampsize Sample Size for Development of a Prediction Model | 1.1.3 |
pmultinom One-Sided Multinomial Probabilities | 1.0.0 |
pmvalsampsize Sample Size for External Validation of a Prediction Model | 0.1.0 |
pmwg Particle Metropolis Within Gibbs | 0.2.7 |
PMwR Portfolio Management with R | 1.0-1 |
pmxcode Create Pharmacometric Models | 0.1.4 |
pmxcv Integration-Based Coefficients of Variance | 0.0.1.0 |
pmxpartab Parameter Tables for PMx Analyses | 0.5.0 |
pmxTools Pharmacometric and Pharmacokinetic Toolkit | 1.3 |
PNADcIBGE Downloading, Reading and Analyzing PNADC Microdata | 0.7.5 |
PNAR Poisson Network Autoregressive Models | 1.7 |
PNDSIBGE Downloading, Reading and Analyzing PNDS Microdata - Package in Development | 0.1.1 |
png Read and write PNG images | 0.1-8 |
PNSIBGE Downloading, Reading and Analyzing PNS Microdata | 0.2.1 |
PNWColors Color Palettes Inspired by Nature in the US Pacific Northwest | 0.1.0 |
PoA Finds the Price of Anarchy for Routing Games | 1.2.1 |
pocketapi Wrapper Around the 'Pocket' API | 0.1 |
POCRE Penalized Orthogonal-Components Regression | 0.6.0 |
pocrm Dose Finding in Drug Combination Phase I Trials Using PO-CRM | 0.13 |
POD Probability of Detection for Qualitative PCR Methods | 1.2.0 |
PoDBAY Vaccine Efficacy Estimation Package | 1.4.3 |
podcleaner Legacy Scottish Post Office Directories Cleaner | 0.1.2 |
PODES Village Potential Statistics of Indonesia | 0.1.0 |
poems Pattern-Oriented Ensemble Modeling System | 1.3.1 |
POET Principal Orthogonal ComplEment Thresholding (POET) Method | 2.0 |
pogit Bayesian Variable Selection for a Poisson-Logistic Model | 1.3.0 |
PogromcyDanych DataCrunchers (PogromcyDanych) is the Massive Online Open Course that Brings R and Statistics to the People | 1.7.1 |
poibin The Poisson Binomial Distribution | 1.6 |
PoiClaClu Classification and Clustering of Sequencing Data Based on a Poisson Model | 1.0.2.1 |
poilog Poisson Lognormal and Bivariate Poisson Lognormal Distribution | 0.4.2.1 |
POINT Protein Structure Guided Local Test | 1.3 |
pointblank Data Validation and Organization of Metadata for Local and Remote Tables | 0.12.2 |
pointdensityP Point Density for Geospatial Data | 0.3.5 |
PointedSDMs Fit Models Derived from Point Processes to Species Distributions using 'inlabru' | 2.1.2 |
PointFore Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles | 0.2.0 |
pointr Working Comfortably with Pointers and Shortcuts to R Objects | 0.2.0 |
pointRes Analyzing Pointer Years and Components of Resilience | 2.0.2 |
PoisBinNonNor Data Generation with Poisson, Binary and Continuous Components | 1.3.3 |
poisbinom A Faster Implementation of the Poisson-Binomial Distribution | 1.0.1 |
PoisBinOrd Data Generation with Poisson, Binary and Ordinal Components | 1.4.3 |
PoisBinOrdNonNor Generation of Up to Four Different Types of Variables | 1.5.3 |
PoisBinOrdNor Data Generation with Poisson, Binary, Ordinal and Normal Components | 1.6.3 |
poisDoubleSamp Confidence Intervals with Poisson Double Sampling | 1.1.1 |
poisFErobust Poisson Fixed Effects Robust | 2.0.0 |
poismf Factorization of Sparse Counts Matrices Through Poisson Likelihood | 0.4.0-4 |
PoisNonNor Simultaneous Generation of Count and Continuous Data | 1.6.3 |
PoisNor Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals | 1.3.3 |
poisson.glm.mix Fit High Dimensional Mixtures of Poisson GLMs | 1.4 |
PoissonBinomial Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions | 1.2.7 |
poissoned Poisson Disk Sampling in 2D and 3D | 0.1.3 |
poissonMT Robust M-Estimators Based on Transformations for Poisson Model | 0.3-5 |
PoissonMultinomial The Poisson-Multinomial Distribution | 1.1 |
PoissonPCA Poisson-Noise Corrected PCA | 1.0.3 |
poissonreg Model Wrappers for Poisson Regression | 1.0.1 |
poistweedie Poisson-Tweedie Exponential Family Models | 1.0.2 |
pokemon Pokemon Data in English and Brazilian Portuguese | 0.1.3 |
PolarCAP Access the Polarization in Comparative Attitudes Project | 1.0.1 |
polaroid Create Hex Stickers with 'shiny' | 0.1.0 |
poLCA Polytomous Variable Latent Class Analysis | 1.6.0.1 |
poldis Analyse Political Texts | 0.1.2 |
PolicyPortfolios Tools for Managing, Measuring and Visualizing Policy Portfolios | 0.3 |
policytree Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees | 1.2.3 |
polimetrics R Tools for Political Measures | 1.2.1.14 |
poliscidata Datasets and Functions Featured in Pollock and Edwards, an R Companion to Essentials of Political Analysis, Second Edition | 2.3.0 |
polished Authentication and Hosting for 'shiny' Apps | 0.8.1 |
polite Be Nice on the Web | 0.1.3 |
politeness Detecting Politeness Features in Text | 0.9.3 |
politicsR Calculating Political System Metrics | 0.1.0 |
polle Policy Learning | 1.5 |
pollen Analysis of Aerobiological Data | 0.82.0 |
pollimetry Estimate Pollinator Body Size and Co-Varying Ecological Traits | 1.0.1 |
pollster Calculate Crosstab and Topline Tables of Weighted Survey Data | 0.1.6 |
polmineR Verbs and Nouns for Corpus Analysis | 0.8.9 |
polspline Polynomial Spline Routines | 1.1.25 |
Poly4AT Access 'INVEKOS' API for Field Polygons | 1.0.1 |
polyaAeppli Implementation of the Polya-Aeppli Distribution | 2.0.2 |
polyapost Simulating from the Polya Posterior | 1.7-1 |
Polychrome Qualitative Palettes with Many Colors | 1.5.1 |
polyclip Polygon Clipping | 1.10-7 |
polycor Polychoric and Polyserial Correlations | 0.8-1 |
PolycrossDesigns Polycross Designs ("PolycrossDesigns") | 1.1.0 |
polyCub Cubature over Polygonal Domains | 0.9.1 |
polyglotr Translate Text | 1.5.2 |
PolyHaplotyper Assignment of Haplotypes Based on SNP Dosages in Diploids and Polyploids | 1.0.1 |
polyhedralCubature Multiple Integration over Convex Polyhedra | 1.1.0 |
polylabelr Find the Pole of Inaccessibility (Visual Center) of a Polygon | 0.3.0 |
polymapR Linkage Analysis in Outcrossing Polyploids | 1.1.6 |
polyMatrix Infrastructure for Manipulation Polynomial Matrices | 0.9.16 |
polynom A Collection of Functions to Implement a Class for Univariate Polynomial Manipulations | 1.4-1 |
PolynomF Polynomials in R | 2.0-8 |
PolyPatEx Paternity Exclusion in Autopolyploid Species | 0.9.2 |
polypharmacy Calculate Several Polypharmacy Indicators | 1.0.0 |
polypoly Helper Functions for Orthogonal Polynomials | 0.0.3 |
polyqtlR QTL Analysis in Autopolyploid Bi-Parental F1 Populations | 0.1.1 |
polyRAD Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids | 2.0.0 |
polyreg Polynomial Regression | 0.8.0 |
polysat Tools for Polyploid Microsatellite Analysis | 1.7-7 |
polySegratio Simulate and Test Marker Dosage for Dominant Markers in Autopolyploids | 0.2-5 |
polySegratioMM Bayesian Mixture Models for Marker Dosage in Autopolyploids | 0.6-4 |
PolyTree Estimate Causal Polytree from Data | 0.0.1 |
PolyTrend Trend Classification Algorithm | 1.2 |
polywog Bootstrapped Basis Regression with Oracle Model Selection | 0.4-1 |
POMADE Power for Meta-Analysis of Dependent Effects | 0.2.0 |
POMaSPU Adaptive Association Tests for Multiple Phenotypes using Proportional Odds Model (POM-aSPU) | 1.0.0 |
pomcheckr Graphical Check for Proportional Odds Assumption | 0.1.1 |
pomdp Infrastructure for Partially Observable Markov Decision Processes (POMDP) | 1.2.4 |
pomdpSolve Interface to 'pomdp-solve' for Partially Observable Markov Decision Processes | 1.0.4 |
Pomic Pattern Oriented Modelling Information Criterion | 1.0.4 |
pomodoro Predictive Power of Linear and Tree Modeling | 3.8.0 |
pomp Statistical Inference for Partially Observed Markov Processes | 5.11 |
pompom Person-Oriented Method and Perturbation on the Model | 0.2.1 |
pompp Presence-Only for Marked Point Process | 0.1.3 |
POMS Phylogenetic Organization of Metagenomic Signals | 1.0.1 |
pooh Partial Orders and Relations | 0.3-2 |
pool Object Pooling | 1.0.4 |
poolABC Approximate Bayesian Computation with Pooled Sequencing Data | 1.0.0 |
PoolBal Balancing Central and Marginal Rejection of Pooled p-Values | 0.1-0 |
PoolDilutionR Calculate Gross Biogeochemical Flux Rates from Isotope Pool Dilution Data | 1.0.0 |
PooledCohort Predicted Risk for CVD using Pooled Cohort Equations, PREVENT Equations, and Other Contemporary CVD Risk Calculators | 0.0.2 |
PooledMeanGroup Pooled Mean Group Estimation of Dynamic Heterogenous Panels | 1.0 |
pooledpeaks Genetic Analysis of Pooled Samples | 1.0.7 |
poolfstat Computing f-Statistics and Building Admixture Graphs Based on Allele Count or Pool-Seq Read Count Data | 3.0.0 |
poolHelper Simulates Pooled Sequencing Genetic Data | 1.1.0 |
pooling Fit Poolwise Regression Models | 1.1.2 |
poolr Methods for Pooling P-Values from (Dependent) Tests | 1.1-1 |
PoolTestR Prevalence and Regression for Pool-Tested (Group-Tested) Data | 0.2.0 |
poolVIM Gene-Based Association Tests using the Actual Impurity Reduction (AIR) Variable Importance | 1.0.0 |
poorman A Poor Man's Dependency Free Recreation of 'dplyr' | 0.2.7 |
pop A Flexible Syntax for Population Dynamic Modelling | 0.1 |
pop.lion Models for Simulating Lion Populations | 1.0.1 |
pop.wolf Models for Simulating Wolf Populations | 1.0 |
popbayes Bayesian Model to Estimate Population Trends from Counts Series | 1.2.0 |
popbio Construction and Analysis of Matrix Population Models | 2.8 |
popdemo Demographic Modelling Using Projection Matrices | 1.3-1 |
PoPdesign Posterior Predictive (PoP) Design for Phase I Clinical Trials | 1.1.0 |
PopED Population (and Individual) Optimal Experimental Design | 0.7.0 |
popEpi Functions for Epidemiological Analysis using Population Data | 0.4.12 |
PopGenHelpR Streamline Population Genomic and Genetic Analyses | 1.3.2 |
popgenr Accompaniment to Population Genetics with R: An Introduction for Life Scientists | 0.2 |
PopGenReport A Simple Framework to Analyse Population and Landscape Genetic Data | 3.1 |
POPInf Assumption-Lean and Data-Adaptive Post-Prediction Inference | 1.0.0 |
popkin Estimate Kinship and FST under Arbitrary Population Structure | 1.3.23 |
popPCR Classify Digital PCR Droplets by Fitting Fluorescence Populations | 0.1.1.1 |
poppr Genetic Analysis of Populations with Mixed Reproduction | 2.9.6 |
popPyramid Population Pyramids | 0.1.1 |
popReconstruct Reconstruct Human Populations of the Recent Past | 1.0-6 |
popstudy Applied Techniques to Demographic and Time Series Analysis | 1.0.1 |
poptrend Estimate Smooth and Linear Trends from Population Count Survey Data | 0.2.0 |
population Models for Simulating Populations | 0.3 |
PopulationGrowthR Linear Population Growth Scenarios | 0.1.1 |
populationPDXdesign Designing Population PDX Studies | 1.0.3 |
populR Population Downscaling Using Areal Interpolation | 0.2.1 |
poputils Demographic Analysis and Data Manipulation | 0.3.3 |
PopVar Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation | 1.3.2 |
porridge Ridge-Type Penalized Estimation of a Potpourri of Models | 0.3.3 |
port4me Get the Same, Personal, Free 'TCP' Port over and over | 0.7.1 |
PortalHacienda Acceder Con R a Los Datos Del Portal De Hacienda | 0.1.7 |
portalr Create Useful Summaries of the Portal Data | 0.4.3 |
portes Portmanteau Tests for Time Series Models | 6.0 |
portfolio Analysing Equity Portfolios | 0.5-3 |
portfolio.optimization Contemporary Portfolio Optimization | 1.0-0 |
PortfolioAnalytics Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios | 2.1.0 |
portfolioBacktest Automated Backtesting of Portfolios over Multiple Datasets | 0.4.1 |
PortfolioOptim Small/Large Sample Portfolio Optimization | 1.1.1 |
portion Extracting a Data Portion | 0.1.0 |
portn Portfolio Analysis for Nature | 1.0.0 |
PortRisk Portfolio Risk Analysis | 1.1.0 |
portsort Factor-Based Portfolio Sorts | 0.1.0 |
portvine Vine Based (Un)Conditional Portfolio Risk Measure Estimation | 1.0.3 |
poset Analysis of Partially Ordered Data | 1.0.0 |
POSetR Partially Ordered Sets in R | 1.1.4 |
PoSI Valid Post-Selection Inference for Linear LS Regression | 1.1 |
PoSIAdjRSquared Post-Selection Inference for Adjusted R Squared | 0.0.0.1 |
posologyr Individual Dose Optimization using Population Pharmacokinetics | 1.2.7 |
PosRatioDist Quotient of Random Variables Conditioned to the Positive Quadrant | 1.2.1 |
POSSA Power Simulation for Sequential Analyses and Multiple Hypotheses | 0.6.4 |
postcards Create Beautiful, Simple Personal Websites | 0.2.3 |
PostcodesioR API Wrapper Around 'Postcodes.io' | 0.3.1 |
postdoc Minimal and Uncluttered Package Documentation | 1.4.0 |
posterdown Generate PDF Conference Posters Using R Markdown | 1.0 |
posterior Tools for Working with Posterior Distributions | 1.6.0 |
PosteriorBootstrap Non-Parametric Sampling with Parallel Monte Carlo | 0.1.2 |
postGGIR Data Processing after Running 'GGIR' for Accelerometer Data | 2.4.0.2 |
postHoc Tools for Post-Hoc Analysis | 0.1.3 |
postinfectious Estimating the Incubation Period Distribution of Post-Infectious Syndrome | 0.1.0 |
postlightmercury Parses Web Pages using Postlight Mercury | 1.2 |
postlogic Infix and Postfix Logic Operators | 0.1.0.1 |
POSTm Phylogeny-Guided OTU-Specific Association Test for Microbiome Data | 1.4 |
postpack Utilities for Processing Posterior Samples Stored in 'mcmc.lists' | 0.5.4 |
POT Generalized Pareto Distribution and Peaks Over Threshold | 1.1-11 |
potential Implementation of the Potential Model | 0.2.0 |
poth Precision of Treatment Hierarchy (POTH) | 0.2-0 |
potions Easy Options Management | 0.2.0 |
potools Tools for Internationalization and Portability in R Packages | 0.2.4 |
potts Markov Chain Monte Carlo for Potts Models | 0.5-11 |
PottsUtils Utility Functions of the Potts Models | 0.3-3.1 |
pould Phased or Unphased Linkage Disequilibrium | 1.0.1 |
POUMM The Phylogenetic Ornstein-Uhlenbeck Mixed Model | 2.1.7 |
POV Partition of Variation Variance Component Analysis Method | 0.1.4 |
povmap Extension to the 'emdi' Package | 1.0.1 |
pow.int Binary Exponentiation | 1.3 |
powdist Power and Reversal Power Distributions | 0.1.4 |
powdR Full Pattern Summation of X-Ray Powder Diffraction Data | 1.3.0 |
power.transform Location and Scale Invariant Power Transformations | 1.0.0 |
Power2Stage Power and Sample-Size Distribution of 2-Stage Bioequivalence Studies | 0.5-4 |
poweRbal Phylogenetic Tree Models and the Power of Tree Shape Statistics | 0.0.1.1 |
powerbiR An Interface to the 'Power BI REST APIs' | 0.1.0 |
powerbydesign Power Estimates for ANOVA Designs | 1.0.5 |
powerCompRisk Power Analysis Tool for Joint Testing Hazards with Competing Risks Data | 1.0.1 |
powerEQTL Power and Sample Size Calculation for Bulk Tissue and Single-Cell eQTL Analysis | 0.3.4 |
PoweREST A Bootstrap-Based Power Estimation Tool for Spatial Transcriptomics | 0.1.0 |
powerGWASinteraction Power Calculations for GxE and GxG Interactions for GWAS | 1.1.3 |
powerindexR Measuring the Power in Voting Systems | 1.6 |
powerjoin Extensions of 'dplyr' and 'fuzzyjoin' Join Functions | 0.1.0 |
powerLATE Generalized Power Analysis for LATE | 0.1.2 |
poweRlaw Analysis of Heavy Tailed Distributions | 0.80.0 |
powerly Sample Size Analysis for Psychological Networks and More | 1.8.6 |
powerMediation Power/Sample Size Calculation for Mediation Analysis | 0.3.4 |
powerNLSEM Simulation-Based Power Estimation (MSPE) for Nonlinear SEM | 0.1.2 |
PowerNormal Power Normal Distribution | 1.2.0 |
powerpkg Power Analyses for the Affected Sib Pair and the TDT Design | 1.6 |
powerPLS Power Analysis for PLS Classification | 0.2.0 |
PowerSDI Calculate Standardised Drought Indices Using NASA POWER Data | 1.0.0 |
powerSurvEpi Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies | 0.1.3 |
powertools Power and Sample Size Tools | 0.1.2 |
PowerTOST Power and Sample Size for (Bio)Equivalence Studies | 1.5-6 |
PowerUpR Power Analysis Tools for Multilevel Randomized Experiments | 1.1.0 |
powRICLPM Perform Power Analysis for the RI-CLPM and STARTS Model | 0.2.1 |
PP Person Parameter Estimation | 0.6.3-11 |
PPbigdata Projection Pursuit for Big Data Based on Data Nuggets | 1.0.0 |
pPCA Partial Principal Component Analysis of Partitioned Large Sparse Matrices | 1.1 |
ppcc Probability Plot Correlation Coefficient Test | 1.2 |
PPCDT An Optimal Subset Selection for Distributed Hypothesis Testing | 0.2.0 |
PPCI Projection Pursuit for Cluster Identification | 0.1.5 |
ppclust Probabilistic and Possibilistic Cluster Analysis | 1.1.0.1 |
ppcor Partial and Semi-Partial (Part) Correlation | 1.1 |
ppcSpatial Spatial Analysis of Pakistan Population Census | 0.3.0 |
ppdiag Diagnosis and Visualizations Tools for Temporal Point Processes | 0.1.1 |
ppendemic A Glimpse at the Diversity of Peru's Endemic Plants | 0.1.8 |
PPforest Projection Pursuit Classification Forest | 0.1.3 |
ppgam Generalised Additive Point Process Models | 1.0.2 |
ppgm PaleoPhyloGeographic Modeling of Climate Niches and Species Distributions | 1.0.3 |
ppgmmga Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms | 1.3 |
ppitables Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI) | 0.5.5 |
PPLasso Prognostic Predictive Lasso for Biomarker Selection | 2.0 |
ppmf Read Census Privacy Protected Microdata Files | 0.1.3 |
ppmHR Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks | 1.0 |
PPMiss Copula-Based Estimator for Long-Range Dependent Processes under Missing Data | 0.1.1 |
ppmlasso Point Process Models with LASSO-Type Penalties | 1.4 |
PPMR Probabilistic Two Sample Mendelian Randomization | 1.0 |
ppmSuite A Collection of Models that Employ Product Partition Distributions as a Prior on Partitions | 0.3.4 |
PPQplan Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis | 1.1.0 |
ppRank Classification of Algorithms | 0.1.1 |
ppRep Analysis of Replication Studies using Power Priors | 0.42.3 |
PPRL Privacy Preserving Record Linkage | 0.3.8 |
pps PPS Sampling | 1.0 |
ppsbm Clustering in Longitudinal Networks | 0.2.2 |
ppseq Design Clinical Trials using Sequential Predictive Probability Monitoring | 0.2.5 |
PPSFS Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models | 0.1.0 |
ppsr Predictive Power Score | 0.0.5 |
PPTcirc Projected Polya Tree for Circular Data | 0.2.3 |
PPtreeregViz Projection Pursuit Regression Tree Visualization | 2.0.5 |
PPtreeViz Projection Pursuit Classification Tree Visualization | 2.0.4 |
pqantimalarials web tool for estimating under-five deaths caused by poor-quality antimalarials in sub-Saharan Africa | 0.2 |
pql A Partitioned Quasi-Likelihood for Distributed Statistical Inference | 0.1.0 |
PQLseq Efficient Mixed Model Analysis of Count Data in Large-Scale Genomic Sequencing Studies | 1.2.1 |
pqrBayes Bayesian Penalized Quantile Regression | 1.0.2 |
pqrfe Penalized Quantile Regression with Fixed Effects | 1.1 |
PRA Project Risk Analysis | 0.3.0 |
praatpicture 'Praat Picture' Style Plots of Acoustic Data | 1.3.0 |
prabclus Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data | 2.3-4 |
pracma Practical Numerical Math Functions | 2.4.4 |
pracpac Practical 'R' Packaging in 'Docker' | 0.2.0 |
PracticalEquiDesign Design of Practical Equivalence Trials | 0.0.3 |
practicalSigni Practical Significance Ranking of Regressors and Exact t Density | 0.1.2 |
PracTools Designing and Weighting Survey Samples | 1.5 |
prais Prais-Winsten Estimator for AR(1) Serial Correlation | 1.1.3 |
praise Praise Users | 1.0.0 |
PRANA Pseudo-Value Regression Approach for Network Analysis (PRANA) | 1.0.6 |
praznik Tools for Information-Based Feature Selection and Scoring | 11.0.0 |
prcbench Testing Workbench for Precision-Recall Curves | 1.1.8 |
prclust Penalized Regression-Based Clustering Method | 1.3 |
prcr Person-Centered Analysis | 0.2.1 |
PRDA Conduct a Prospective or Retrospective Design Analysis | 1.0.0 |
pre Prediction Rule Ensembles | 1.0.7 |
PRECAST Embedding and Clustering with Alignment for Spatial Datasets | 1.6.5 |
precintcon Precipitation Intensity, Concentration and Anomaly Analysis | 2.3.0 |
pRecipe Precipitation R Recipes | 3.0.2 |
precisely Estimate Sample Size Based on Precision Rather than Power | 0.1.2 |
precisePlacement Suite of Functions to Help Get Plot Elements Exactly Where You Want Them | 0.1.0 |
PreciseSums Accurate Floating Point Sums and Products | 0.7 |
precmed Precision Medicine | 1.1.0 |
precommit Pre-Commit Hooks | 0.4.3 |
precondition Lightweight Precondition, Postcondition, and Sanity Checks | 0.1.0 |
precrec Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves | 0.14.4 |
PredCRG Computational Prediction of Proteins Encoded by Circadian Genes | 1.0.2 |
predfairness Discrimination Mitigation for Machine Learning Models | 0.1.0 |
predhy Genomic Prediction of Hybrid Performance | 2.1.1 |
predhy.GUI Genomic Prediction of Hybrid Performance with Graphical User Interface | 2.0.1 |
predict3d Draw Three Dimensional Predict Plot Using Package 'rgl' | 0.1.5 |
PredictABEL Assessment of Risk Prediction Models | 1.2-4 |
prediction Tidy, Type-Safe 'prediction()' Methods | 0.3.18 |
predictionInterval Prediction Interval Functions for Assessing Replication Study Results | 1.0.0 |
PredictionR Prediction for Future Data from any Continuous Distribution | 1.0-12 |
predictMe Visualize Individual Prediction Performance | 0.1 |
predictmeans Predicted Means for Linear and Semiparametric Models | 1.1.1 |
predictNMB Evaluate Clinical Prediction Models by Net Monetary Benefit | 0.2.1 |
predictoR Predictive Data Analysis System | 4.1.1 |
PredictorSelect Out-of-Sample Predictability in Predictive Regressions with Many Predictor Candidates | 0.1.0 |
predictrace Predict the Race and Gender of a Given Name Using Census and Social Security Administration Data | 2.0.1 |
predicts Spatial Prediction Tools | 0.1-17 |
predieval Assessing Performance of Prediction Models for Predicting Patient-Level Treatment Benefit | 0.1.1 |
predint Prediction Intervals | 2.2.1 |
predkmeans Covariate Adaptive Clustering | 0.1.1 |
PredPsych Predictive Approaches in Psychology | 0.4 |
predReliability Estimates Reliability of Individual Supervised Learning Predictions | 0.1.0 |
predRupdate Prediction Model Validation and Updating | 0.2.0 |
PredTest Preparing Data For, and Calculating the Prediction Test | 0.1.0 |
predtools Prediction Model Tools | 0.0.3 |
predtoolsTS Time Series Prediction Tools | 0.1.1 |
pref Preference Voting with Explanatory Graphics | 0.4.0 |
prefeR R Package for Pairwise Preference Elicitation | 0.1.3 |
preferably A 'pkgdown' Template | 0.4.1 |
preference 2-Stage Preference Trial Design and Analysis | 1.1.6 |
prefio Structures for Preference Data | 0.1.1 |
prefmod Utilities to Fit Paired Comparison Models for Preferences | 0.8-36 |
PreKnitPostHTMLRender Pre-Knitting Processing and Post HTML-Rendering Processing | 0.1.0 |
PReMiuM Dirichlet Process Bayesian Clustering, Profile Regression | 3.2.13 |
prenoms Names Given to Babies in Quebec Between 1980 and 2020 | 0.0.1 |
prepdat Preparing Experimental Data for Statistical Analysis | 1.0.8 |
pRepDesigns Partially Replicated (p-Rep) Designs | 1.2.0 |
prepplot Prepare Figure Region for Base Graphics | 1.0-1 |
PreProcess Basic Functions for Pre-Processing Microarrays | 3.1.7 |
preprocessCore | 1.68.0 |
PreProcessing Various Preprocessing Transformations of Numeric Data Matrices | 0.1.0 |
PreProcessRecordLinkage Preprocessing Record Linkage | 1.0.1 |
PREPShiny Interactive Document for Preprocessing the Dataset | 0.1.0 |
preputils Utilities for Preparation of Data Analysis | 1.0.3 |
prereg R Markdown Templates to Preregister Scientific Studies | 0.6.0 |
preregr Specify (Pre)Registrations and Export Them Human- And Machine-Readably | 0.2.9 |
PresenceAbsence Presence-Absence Model Evaluation | 1.1.11 |
presens Interface for PreSens Fiber Optic Data | 2.1.0 |
presenter Present Data with Style | 0.1.2 |
presentes Registry of Victims of State Terrorism in Argentina | 0.1.0 |
preseqR Predicting Species Accumulation Curves | 4.0.0 |
PResiduals Probability-Scale Residuals and Residual Correlations | 1.0-1 |
presize Precision Based Sample Size Calculation | 0.3.7 |
presmTP Methods for Transition Probabilities | 1.1.0 |
PressPurt Indeterminacy of Networks via Press Perturbations | 1.0.2 |
pressuRe Imports, Processes, and Visualizes Biomechanical Pressure Data | 0.2.4 |
pretest A Novel Approach to Predictive Accuracy Testing in Nested Environments | 0.2 |
prettifyAddins 'RStudio' Addins to Prettify 'JavaScript', 'C++', 'Python', and More | 2.6.1 |
prettyB Pretty Base Graphics | 0.2.2 |
prettycode Pretty Print R Code in the Terminal | 1.1.0 |
PrettyCols Pretty Colour Palettes | 1.1.0 |
prettydoc Creating Pretty Documents from R Markdown | 0.4.1 |
prettyglm Pretty Summaries of Generalized Linear Model Coefficients | 1.0.1 |
prettyGraphs Publication-Quality Graphics | 2.1.6 |
prettymapr Scale Bar, North Arrow, and Pretty Margins in R | 0.2.5 |
prettyR Pretty Descriptive Stats | 2.2-3 |
prettyunits Pretty, Human Readable Formatting of Quantities | 1.2.0 |
prevalence Tools for Prevalence Assessment Studies | 0.4.1 |
prevederer Wrapper for the 'Prevedere' API | 0.0.1 |
preventr An Implementation of the AHA PREVENT Equations | 0.10.0 |
previsionio 'Prevision.io' R SDK | 11.7.0 |
PrevMap Geostatistical Modelling of Spatially Referenced Prevalence Data | 1.5.4 |
prevR Estimating Regional Trends of a Prevalence from a DHS and Similar Surveys | 5.0.0 |
prevtoinc Prevalence to Incidence Calculations for Point-Prevalence Studies in a Nosocomial Setting | 0.12.0 |
pRF Permutation Significance for Random Forests | 1.2 |
PriceIndices Calculating Bilateral and Multilateral Price Indexes | 0.2.2 |
pricelevels Spatial Price Level Comparisons | 1.3.0 |
priceR Economics and Pricing Tools | 1.0.2 |
pricesensitivitymeter Van Westendorp Price Sensitivity Meter Analysis | 1.3.0 |
prim Patient Rule Induction Method (PRIM) | 1.0.22 |
PRIMAL Parametric Simplex Method for Sparse Learning | 1.0.2 |
primarycensored Primary Event Censored Distributions | 1.0.0 |
primate Tools and Methods for Primatological Data Science | 0.2.0 |
primefactr Use Prime Factorization for Computations | 0.1.1 |
primePCA Projected Refinement for Imputation of Missing Entries in PCA | 1.2 |
PRIMEplus Study Design for Immunotherapy Clinical Trials | 1.0.16 |
primer Functions and Data for the Book, a Primer of Ecology with R | 1.2.0 |
primerTree Visually Assessing the Specificity and Informativeness of Primer Pairs | 1.0.6 |
primes Fast Functions for Prime Numbers | 1.6.0 |
PRIMME Eigenvalues and Singular Values and Vectors from Large Matrices | 3.2-6 |
princurve Fit a Principal Curve in Arbitrary Dimension | 2.1.6 |
PrInDT Prediction and Interpretation in Decision Trees for Classification and Regression | 1.0.1 |
printr Automatically Print R Objects to Appropriate Formats According to the 'knitr' Output Format | 0.3 |
prinvars Principal Variables | 1.0.0 |
prioGene Candidate Gene Prioritization for Non-Communicable Diseases Based on Functional Information | 1.0.1 |
prior3D 3D Prioritization Algorithm | 0.1.3 |
priorCON Graph Community Detection Methods into Systematic Conservation Planning | 0.1.3 |
PriorGen Generates Prior Distributions for Proportions | 2.0 |
prioriactions Multi-Action Conservation Planning | 0.5.0 |
prioritizr Systematic Conservation Prioritization in R | 8.0.4 |
prioritizrdata Conservation Planning Datasets | 0.3.2 |
prioritylasso Analyzing Multiple Omics Data with an Offset Approach | 0.3.1 |
priorsense Prior Diagnostics and Sensitivity Analysis | 1.0.4 |
prism Access Data from the Oregon State Prism Climate Project | 0.2.1 |
PRISM.forecast Penalized Regression with Inferred Seasonality Module - Forecasting Unemployment Initial Claims using 'Google Trends' Data | 0.2.1 |
PRISMA Protocol Inspection and State Machine Analysis | 0.2-7 |
PRISMA2020 Make Interactive 'PRISMA' Flow Diagrams | 1.1.1 |
prismadiagramR Creates a Prisma Diagram using 'DiagrammeR' | 1.0.0 |
PRISMAstatement Plot Flow Charts According to the "PRISMA" Statement | 1.1.1 |
prismatic Color Manipulation Tools | 1.1.2 |
prismjs Server-Side Syntax Highlighting | 2.0.1 |
prisonbrief Downloads and Parses World Prison Brief Data | 0.1.2 |
prithulib Perform Random Experiments | 1.0.2 |
PrivateLR Differentially Private Regularized Logistic Regression | 1.2-22 |
PRNG A Pseudo-Random Number Generator | 0.0.2.1.2 |
prnsamplr Permanent Random Number Sampling | 1.0.0 |
pro Point-Process Response Model for Optogenetics | 0.1.1 |
ProAE PRO-CTCAE Scoring, Analysis, and Graphical Tools | 1.0.3 |
probably Tools for Post-Processing Predicted Values | 1.0.3 |
ProbBayes Probability and Bayesian Modeling | 1.1 |
ProbBreed Probability Theory for Selecting Candidates in Plant Breeding | 1.0.4.4 |
probe Sparse High-Dimensional Linear Regression with PROBE | 1.1 |
ProbeDeveloper Develop Hybridization Probes | 1.1.0 |
ProbitSpatial Probit with Spatial Dependence, SAR, SEM and SARAR Models | 1.1 |
ProbMarg Computing Logit & Probit Predicted Probabilities & Marginal Effects | 1.0.1 |
probout Unsupervised Multivariate Outlier Probabilities for Large Datasets | 1.1.2 |
probs Elementary Probability on Finite Sample Spaces | 0.9.9 |
ProbSamplingI Probabilistic Sampling Design and Strategies | 2.0 |
PROBShiny Interactive Document for Working with Basic Probability | 0.1.0 |
probstats4econ Companion Package to Probability and Statistics for Economics and Business | 0.3.1 |
ProbYX Inference for the Stress-Strength Model R = P(Y<X) | 1.1-0.1 |
pROC Display and Analyze ROC Curves | 1.18.5 |
proccalibrad Extraction of Bands from MODIS Calibrated Radiances MOD02 NRT | 0.14 |
ProcData Process Data Analysis | 0.3.2 |
proceduralnames Several Methods for Procedural Name Generation | 0.2.2 |
processanimateR Process Map Token Replay Animation | 1.0.5 |
processcheckR Rule-Based Conformance Checking of Business Process Event Data | 0.1.4 |
processmapR Construct Process Maps Using Event Data | 0.5.6 |
processmonitR Building Process Monitoring Dashboards | 0.1.0 |
processpredictR Process Prediction | 0.1.0 |
processx Execute and Control System Processes | 3.8.4 |
proclhmm Latent Hidden Markov Models for Response Process Data | 1.0.0 |
procmaps Portable Address Space Mapping | 0.0.5 |
ProcMod Informative Procrustean Matrix Correlation | 1.0.8 |
procs Recreates Some 'SAS®' Procedures in 'R' | 1.0.6 |
ProDenICA Product Density Estimation for ICA using Tilted Gaussian Density Estimates | 1.1 |
prodest Production Function Estimation | 1.0.1 |
prodigenr Research Project Directory Generator | 0.7.0 |
prodlim Product-Limit Estimation for Censored Event History Analysis | 2024.06.25 |
productivity Indices of Productivity Using Data Envelopment Analysis (DEA) | 1.1.0 |
productplots Product Plots for R | 0.1.1 |
ProFAST Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction | 1.4 |
ProfessR Grades Setting and Exam Maker | 2.4-3 |
profExtrema Compute and Visualize Profile Extrema Functions | 0.2.1 |
proffer Profile R Code and Visualize with 'Pprof' | 0.2.2 |
profile Read, Manipulate, and Write Profiler Data | 1.0.3 |
ProfileLikelihood Profile Likelihood for a Parameter in Commonly Used Statistical Models | 1.3 |
profileModel Profiling Inference Functions for Various Model Classes | 0.6.1 |
profileR Profile Analysis of Multivariate Data in R | 0.3-5 |
profiplots Profinit Plotting Theme | 0.2.3 |
profmem Simple Memory Profiling for R | 0.6.0 |
profoc Probabilistic Forecast Combination Using CRPS Learning | 1.3.3 |
ProfoundData Downloading and Exploring Data from the PROFOUND Database | 0.2.1 |
profr An Alternative Display for Profiling Information | 0.3.3 |
profrep Profile Repeatability | 1.0.0 |
proftools Profile Output Processing Tools for R | 0.99-3 |
profvis Interactive Visualizations for Profiling R Code | 0.4.0 |
progenyClust Finding the Optimal Cluster Number Using Progeny Clustering | 1.2 |
ProgModule Identification of Prognosis-Related Mutually Exclusive Modules | 0.1.0 |
progress Terminal Progress Bars | 1.2.3 |
progressr An Inclusive, Unifying API for Progress Updates | 0.15.1 |
PROJ Generic Coordinate System Transformations Using 'PROJ' | 0.5.0 |
proj4 A simple interface to the PROJ.4 cartographic projections library | 1.0-14 |
ProjectionBasedClustering Projection Based Clustering | 1.2.2 |
projections Project Future Case Incidence | 0.6.1 |
ProjectManagement Management of Deterministic and Stochastic Projects | 2.0.2 |
projects A Project Infrastructure for Researchers | 2.1.3 |
ProjectTemplate Automates the Creation of New Statistical Analysis Projects | 0.11.0 |
projmgr Task Tracking and Project Management with GitHub | 0.1.1 |
projpred Projection Predictive Feature Selection | 2.8.0 |
ProliferativeIndex Calculates and Analyzes the Proliferative Index | 1.0.1 |
prolific.api A User-Friendly Interface for Accessing the Prolific API | 0.5.2 |
prolsirm Procrustes Matching for Latent Space Item Response Model | 0.1.0 |
prome Patient-Reported Outcome Data Analysis with Stan | 1.9.1.0 |
PROMETHEE Preference Ranking Organization METHod for Enrichment of Evaluations | 1.1 |
promethee123 PROMETHEE I, II, and III Methods | 0.1.0 |
PrometheeTools PROMETHEE and GLNF for Ranking and Sorting Problems | 0.1.0 |
promises Abstractions for Promise-Based Asynchronous Programming | 1.3.2 |
promor Proteomics Data Analysis and Modeling Tools | 0.2.1 |
promote Client for the 'Alteryx Promote' API | 1.1.1 |
promotionImpact Analysis & Measurement of Promotion Effectiveness | 0.1.5 |
prompt Dynamic 'R' Prompt | 1.0.2 |
prompter Add Tooltips in 'Shiny' Apps with 'Hint.css' | 1.2.0 |
promptr Format and Complete Few-Shot LLM Prompts | 1.0.0 |
promr Prometheus 'PromQL' Query Client for 'R' | 0.1.3 |
prop.comb.RR Analyzing Combination of Proportions and Relative Risk | 1.2 |
propagate Propagation of Uncertainty | 1.0-6 |
PropCIs Various Confidence Interval Methods for Proportions | 0.3-0 |
PropClust Propensity Clustering and Decomposition | 1.4-7 |
properties Parse 'Java' Properties Files for 'R Service Bus' Applications | 0.0-9 |
prophet Automatic Forecasting Procedure | 1.0 |
proporz Proportional Apportionment | 1.5.0 |
propOverlap Feature (gene) selection based on the Proportional Overlapping Scores | 1.0 |
PropScrRand Propensity Score Methods for Assigning Treatment in Randomized Trials | 1.1.2 |
proPubBills 'ProPublica' U.S. Congress Bills API Wrapper | 0.1 |
ProPublicaR Access Functions for ProPublica's APIs | 1.1.4 |
PROreg Patient Reported Outcomes Regression Analysis | 1.3 |
PROscorer Functions to Score Commonly-Used Patient-Reported Outcome (PRO) Measures and Other Psychometric Instruments | 0.0.4 |
PROscorerTools Tools to Score Patient-Reported Outcome (PRO) and Other Psychometric Measures | 0.0.4 |
PROsetta Linking Patient-Reported Outcomes Measures | 0.4.1 |
ProSGPV Penalized Regression with Second-Generation P-Values | 1.0.0 |
prospectr Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data | 0.2.7 |
PROSPER Simulation of Weed Population Dynamics | 0.3.3 |
ProSportsDraftData Professional Sports Draft Data | 1.0.3 |
protag Search Tagged Peptides & Draw Highlighted Mass Spectra | 1.0.0 |
protein8k Perform Analysis and Create Visualizations of Proteins | 0.0.1 |
ProteoBayes Bayesian Statistical Tools for Quantitative Proteomics | 1.0.0 |
proteomicsCV Calculates the Percentage CV for Mass Spectrometry-Based Proteomics Data | 0.4.0 |
proteus Multiform Seq2Seq Model for Time-Feature Analysis | 1.1.4 |
ProtGenerics | 1.38.0 |
protHMM Protein Feature Extraction from Profile Hidden Markov Models | 0.1.1 |
proto Prototype Object-Based Programming | 1.0.0 |
protoclust Hierarchical Clustering with Prototypes | 1.6.4 |
protolite Highly Optimized Protocol Buffer Serializers | 2.3.1 |
proton The Proton Game | 1.0 |
protoshiny Interactive Dendrograms for Visualizing Hierarchical Clusters with Prototypes | 0.1.0 |
prototest Inference on Prototypes from Clusters of Features | 1.2 |
protr Generating Various Numerical Representation Schemes for Protein Sequences | 1.7-4 |
ProTrackR Manipulate and Play 'ProTracker' Modules | 0.4.3 |
ProTrackR2 Manipulate and Play 'ProTracker' Modules | 0.0.5 |
protti Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools | 0.9.1 |
protViz Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics | 0.7.9 |
proustr Tools for Natural Language Processing in French | 0.4.0 |
provDebugR A Time-Travelling Debugger | 1.0.1 |
provenance Statistical Toolbox for Sedimentary Provenance Analysis | 4.3 |
proverbs Print a Daily Bible Proverb to Console | 0.4.0 |
provExplainR Compare Provenance Collections to Explain Changed Script Outputs | 1.1.1 |
provGraphR Creates Adjacency Matrices for Lineage Searches | 1.0.1 |
provParseR Pulls Information from Prov.Json Files | 1.0 |
provSummarizeR Summarizes Provenance Related to Inputs and Outputs of a Script or Console Commands | 1.5.1 |
provTraceR Uses Provenance to Trace File Lineage for One or more R Scripts | 1.0 |
provViz Provenance Visualizer | 1.0.9 |
proxirr Alpha and Beta Proximity to Irreplaceability | 0.4 |
proxy Distance and Similarity Measures | 0.4-27 |
proxyC Computes Proximity in Large Sparse Matrices | 0.4.1 |
prozor Minimal Protein Set Explaining Peptide Spectrum Matches | 0.3.1 |
PRP Bayesian Prior and Posterior Predictive Replication Assessment | 0.1.1 |
prqlr R Bindings for the 'prqlc' Rust Library | 0.9.0 |
prrd Parallel Runs of Reverse Depends | 0.0.6 |
PRROC Precision-Recall and ROC Curves for Weighted and Unweighted Data | 1.3.1 |
PRSim Stochastic Simulation of Streamflow Time Series using Phase Randomization | 1.5 |
PRSPGx Construct PGx PRS | 0.3.0 |
pRSR Test of Periodicity using Response Surface Regression | 3.1.1 |
prt Tabular Data Backed by Partitioned 'fst' Files | 0.2.0 |
PRTree Probabilistic Regression Trees | 0.1.2 |
prWarp Warping Landmark Configurations | 1.0.1 |
pryr Tools for Computing on the Language | 0.1.6 |
Przewodnik Datasets and Functions Used in the Book 'Przewodnik po Pakiecie R' | 0.16.12 |
ps List, Query, Manipulate System Processes | 1.8.1 |
PSAboot Bootstrapping for Propensity Score Analysis | 1.3.8 |
PSAgraphics Propensity Score Analysis Graphics | 2.1.3 |
PSAWR 'Pushshift' API Wrapper for 'Reddit' Submission and Comment Search | 0.1.0 |
psBayesborrow Bayesian Information Borrowing with Propensity Score Matching | 1.1.0 |
psbcGroup Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors | 1.7 |
psbcSpeedUp Penalized Semiparametric Bayesian Cox Models | 2.0.7 |
psborrow Bayesian Dynamic Borrowing with Propensity Score | 0.2.1 |
psborrow2 Bayesian Dynamic Borrowing Analysis and Simulation | 0.0.3.4 |
psc Personalised Synthetic Controls | 1.1.0 |
PSCBS Analysis of Parent-Specific DNA Copy Numbers | 0.67.0 |
pscl Political Science Computational Laboratory | 1.5.9 |
pscore Standardizing Physiological Composite Risk Endpoints | 0.4.0 |
PScr Estimation for the Power Series Cure Rate Model | 1.1 |
psd Adaptive, Sine-Multitaper Power Spectral Density and Cross Spectrum Estimation | 2.1.1 |
psData Download Regularly Maintained Political Science Data Sets | 0.2.2 |
PSDistr Distributions Derived from Normal Distribution | 0.0.1 |
psdr Use Time Series to Generate and Compare Power Spectral Density | 1.0.1 |
pseudo Computes Pseudo-Observations for Modeling | 1.4.3 |
pseudobibeR Aggregate Counts of Linguistic Features | 1.2 |
pseudohouseholds Generate Pseudohouseholds on Road Networks in Regions | 0.1.1 |
pseval Methods for Evaluating Principal Surrogates of Treatment Response | 1.3.1 |
PSF Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm | 0.5 |
psfmi Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets | 1.4.0 |
PSGD Projected Subset Gradient Descent | 1.0.3 |
PSGoft Modified Lilliefors Goodness-of-Fit Normality Test | 0.0.1 |
psgp Projected Spatial Gaussian Process Methods | 0.3-21 |
psica Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments | 1.0.2 |
psidR Build Panel Data Sets from PSID Raw Data | 2.3 |
psidread Streamline Building Panel Data from Panel Study of Income Dynamics ('PSID') Raw Files | 1.0.3 |
PSIM Preference Selection Index Method (PSIM) | 0.1.0 |
PSIndependenceTest Independence Tests for Two-Way, Three-Way and Four-Way Contingency Tables | 0.0.1 |
PSinference Inference for Released Plug-in Sampling Single Synthetic Dataset | 0.2.2 |
PSLM2015 Pakistan Social and Living Standards Measurement Survey 2014-15 | 0.2.0 |
psm3mkv Evaluate Partitioned Survival and State Transition Models | 0.3.2 |
psmineR Performance Spectrum Miner for Event Data | 0.1.0 |
pso Particle Swarm Optimization | 1.0.4 |
psoptim Particle Swarm Optimization | 1.0 |
psp Parameter Space Partitioning MCMC for Global Model Evaluation | 1.0.2 |
pspatreg Spatial and Spatio-Temporal Semiparametric Regression Models with Spatial Lags | 1.1.2 |
pspearman Spearman's Rank Correlation Test | 0.3-1 |
pspline Penalized Smoothing Splines | 1.0-21 |
PSPManalysis Analysis of Physiologically Structured Population Models | 0.3.9 |
psqn Partially Separable Quasi-Newton | 0.3.2 |
PSS.Health Power and Sample Size for Health Researchers via Shiny | 1.0.2 |
PSSIM Test of Independence & Image Structural Similarity Measure PSSIM | 0.1.0 |
PSSMCOOL Features Extracted from Position Specific Scoring Matrix (PSSM) | 0.2.4 |
pssmooth Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers | 1.0.3 |
psSubpathway Flexible Identification of Phenotype-Specific Subpathways | 0.1.3 |
PST Probabilistic Suffix Trees and Variable Length Markov Chains | 0.94.1 |
Pstat Assessing Pst Statistics | 1.2 |
pstest Specification Tests for Parametric Propensity Score Models | 0.1.3.900 |
PStrata Principal Stratification Analysis in R | 0.0.5 |
psvd Eigendecomposition, Singular-Values and the Power Method | 0.1-0 |
psvmSDR Unified Principal Sufficient Dimension Reduction Package | 1.0.2 |
PSW Propensity Score Weighting Methods for Dichotomous Treatments | 1.1-3 |
PSweight Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials | 1.2.0 |
psy Various Procedures Used in Psychometrics | 1.2 |
psycCleaning Data Cleaning for Psychological Analyses | 0.1.1 |
psych Procedures for Psychological, Psychometric, and Personality Research | 2.4.6.26 |
psychmeta Psychometric Meta-Analysis Toolkit | 2.7.0 |
psycho Efficient and Publishing-Oriented Workflow for Psychological Science | 0.6.1 |
psychometric Applied Psychometric Theory | 2.4 |
psychomix Psychometric Mixture Models | 1.1-9 |
psychonetrics Structural Equation Modeling and Confirmatory Network Analysis | 0.13 |
psychotools Psychometric Modeling Infrastructure | 0.7-4 |
psychotree Recursive Partitioning Based on Psychometric Models | 0.16-1 |
psychReport Reproducible Reports in Psychology | 3.0.2 |
psychrolib Psychrometric Properties of Moist and Dry Air | 2.5.2 |
psychTools Tools to Accompany the 'psych' Package for Psychological Research | 2.4.3 |
PsychWordVec Word Embedding Research Framework for Psychological Science | 2023.9 |
psycModel Integrated Toolkit for Psychological Analysis and Modeling in R | 0.5.0 |
PsyControl CUSUM Person Fit Statistics | 1.0.0.0 |
psymetadata Open Datasets from Meta-Analyses in Psychology Research | 1.0.1 |
psyntur Helper Tools for Teaching Statistical Data Analysis | 0.1.0 |
psyphy Functions for Analyzing Psychophysical Data in R | 0.3 |
psyverse Decentralized Unequivocality in Psychological Science | 0.2.6 |
ptable Generation of Perturbation Tables for the Cell-Key Method | 1.0.0 |
PTAk Principal Tensor Analysis on k Modes | 2.0.0 |
PTE Personalized Treatment Evaluator | 1.7 |
PTERP PTE and RP for Optimally-Transformed Surrogate | 1.0 |
ptinpoly Point-in-Polyhedron Test (2D and 3D) | 2.8 |
pTITAN2 Permutations of Treatment Labels and TITAN2 Analysis | 1.0.2 |
ptm Analyses of Protein Post-Translational Modifications | 1.0.1 |
ptmixed Poisson-Tweedie Generalized Linear Mixed Model | 1.1.3 |
ptools Tools for Poisson Data | 2.0.0 |
PtProcess Time Dependent Point Process Modelling | 3.3-16 |
ptspotter Helper Functions for Use with "ProjectTemplate" | 1.0.2 |
PTSR Positive Time Series Regression | 0.1.2 |
pttstability Particle-Takens Stability | 1.4 |
ptvapi Access the 'Public Transport Victoria' Timetable API | 2.0.5 |
ptw Parametric Time Warping | 1.9-16 |
ptwikiwords Words Used in Portuguese Wikipedia | 0.0.3 |
PTwins Percentile Estimation of Fetal Weight for Twins by Chorionicity | 0.1.1 |
PTXQC Quality Report Generation for MaxQuant and mzTab Results | 1.1.1 |
ptycho Bayesian Variable Selection with Hierarchical Priors | 1.1-4 |
PubChemR Interface to the 'PubChem' Database for Chemical Data Retrieval | 2.1.1 |
pubh A Toolbox for Public Health and Epidemiology | 2.0.0 |
public.ctn0094data De-Identified Data from CTN-0094 | 1.0.6 |
public.ctn0094extra Helper Files for the CTN-0094 Relational Database | 1.0.4 |
PublicationBias Sensitivity Analysis for Publication Bias in Meta-Analyses | 2.4.0 |
PublicWorksFinanceIT Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization | 0.3.1 |
publipha Bayesian Meta-Analysis with Publications Bias and P-Hacking | 0.1.2 |
Publish Format Output of Various Routines in a Suitable Way for Reports and Publication | 2023.01.17 |
pubmed.mineR Text Mining of PubMed Abstracts | 1.0.21 |
PubMedMining Text-Mining of the 'PubMed' Repository | 1.0.0 |
pubmedR Gathering Metadata About Publications, Grants, Clinical Trials from 'PubMed' Database | 0.0.3 |
pubmedtk 'Pubmed' Toolkit | 1.0.4 |
PubMedWordcloud 'Pubmed' Word Clouds | 0.3.6 |
pubtatordb Create and Query a Local 'PubTator' Database | 0.1.4 |
PUGMM Parsimonious Ultrametric Gaussian Mixture Models | 0.1.0 |
PUlasso High-Dimensional Variable Selection with Presence-Only Data | 3.2.5 |
pullword R Interface to Pullword Service | 0.3 |
puls Partitioning Using Local Subregions | 0.1.2 |
pulsar Parallel Utilities for Lambda Selection along a Regularization Path | 0.3.11 |
pumilioR Pumilio in R | 1.3.1 |
PUMP Power Under Multiplicity Project | 1.0.3 |
puniform Meta-Analysis Methods Correcting for Publication Bias | 0.2.7 |
PUPAIM A Collection of Physical and Chemical Adsorption Isotherm Models | 0.3.1 |
PUPAK Parameter Estimation, and Plot Visualization of Adsorption Kinetic Models | 0.1.1 |
PupillometryR A Unified Pipeline for Pupillometry Data | 0.0.5 |
PupilPre Preprocessing Pupil Size Data | 0.6.2 |
PUPMCR Image-Based Identification of Color Based on Rayner (1970) Terminology and Known Fungal Pigments | 0.2.0 |
PUPMSI Moisture Sorption Isotherm Modeling Program | 0.1.0 |
puremoe Pubmed Unified REtrieval for Multi-Output Exploration | 1.0.2 |
pureseqtmr Predict Transmembrane Protein Topology | 1.4 |
purge Purge Training Data from Models | 0.2.1 |
purgeR Inbreeding-Purging Estimation in Pedigreed Populations | 1.8.2 |
purging Simple Method for Purging Mediation Effects among Independent Variables | 1.0.0 |
PurpleAir Query the 'PurpleAir' Application Programming Interface | 1.0.1 |
PurpleAirAPI Historical Data Retrieval from 'PurpleAir' Sensors via API | 0.1.0 |
purrr Functional Programming Tools | 1.0.2 |
purrrlyr Tools at the Intersection of 'purrr' and 'dplyr' | 0.0.8 |
Pursuit Projection Pursuit | 1.0.5 |
pushbar Create Sliders for 'Shiny' | 0.1.0 |
pushoverr Send Push Notifications using 'Pushover' | 1.1.0 |
puzzle Assembling Data Sets for Non-Linear Mixed Effects Modeling | 0.0.1 |
PVAClone Population Viability Analysis with Data Cloning | 0.1-7 |
pvaluefunctions Creates and Plots P-Value Functions, S-Value Functions, Confidence Distributions and Confidence Densities | 1.6.2 |
pvar Calculation and Application of p-Variation | 2.2.7 |
pvclass P-Values for Classification | 1.4 |
pvclust Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling | 2.2-0 |
pvcurveanalysis Analysis of Pressure Volume Curves | 1.0.0 |
pvda Disproportionality Functions for Pharmacovigilance | 0.0.3 |
pvldcurve Simplifies the Analysis of Pressure Volume and Leaf Drying Curves | 1.2.6 |
pvLRT Likelihood Ratio Test-Based Approaches to Pharmacovigilance | 0.5.1 |
PVplr Performance Loss Rate Analysis Pipeline | 0.1.2 |
PVR Phylogenetic Eigenvectors Regression and Phylogentic Signal-Representation Curve | 0.3 |
PvSTATEM Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data | 0.1.2 |
pwalign | 1.2.0 |
PWEALL Design and Monitoring of Survival Trials Accounting for Complex Situations | 1.3.0.1 |
PWEV PSO Based Weighted Ensemble Algorithm for Volatility Modelling | 0.1.0 |
PWEXP Piecewise Exponential Distribution Prediction Model | 0.5.0 |
PWIR Provides a Function to Calculate Prize Winner Indices Based on Bibliometric Data | 0.0.3 |
pwlmm PWIGLS for Two-Level Multivariate and Multilevel Linear Models | 1.1.1 |
pwr Basic Functions for Power Analysis | 1.3-0 |
pwr2 Power and Sample Size Analysis for One-way and Two-way ANOVA Models | 1.0 |
pwr2ppl Power Analyses for Common Designs (Power to the People) | 0.5.0 |
pwr4exp Power Analysis for Research Experiments | 0.1.0 |
pwrAB Power Analysis for AB Testing | 0.1.0 |
pwrFDR FDR Power | 2.8.9 |
PwrGSD Power in a Group Sequential Design | 2.3.8 |
pwrRasch Statistical Power Simulation for Testing the Rasch Model | 0.1-2 |
pwrss Statistical Power and Sample Size Calculation Tools | 0.3.1 |
pwt Penn World Table (Versions 5.6, 6.x, 7.x) | 7.1-1 |
pwt10 Penn World Table (Version 10.x) | 10.01-0 |
pwt8 Penn World Table (Version 8.x) | 8.1-1 |
pwt9 Penn World Table (Version 9.x) | 9.1-0 |
pxR PC-Axis with R | 0.42.7 |
pxweb R Interface to PXWEB APIs | 0.17.0 |
PxWebApiData PX-Web Data by API | 1.0.0 |
pycno Pycnophylactic Interpolation | 1.4 |
pyinit Pena-Yohai Initial Estimator for Robust S-Regression | 1.1.3 |
pylintR Lint 'Python' Files with a R Command or a 'RStudio' Addin | 0.1.0 |
pyMTurkR A Client for the 'MTurk' Requester API | 1.1.6 |
pyramid Draw Population Pyramid | 1.5 |
pysd2r API to 'Python' Library 'pysd' | 0.1.0 |
pysparklyr Provides a 'PySpark' Back-End for the 'sparklyr' Package | 0.1.5 |
pzfx Read and Write 'GraphPad Prism' Files | 0.3.0 |
qap Heuristics for the Quadratic Assignment Problem (QAP) | 0.1-2 |
QCA Qualitative Comparative Analysis | 3.23 |
qcc Quality Control Charts | 2.7 |
qcr Quality Control Review | 1.4 |
qdap Bridging the Gap Between Qualitative Data and Quantitative Analysis | 2.4.6 |
qdapDictionaries Dictionaries and Word Lists for the 'qdap' Package | 1.0.7 |
qdapRegex Regular Expression Removal, Extraction, and Replacement Tools | 0.7.8 |
qdapTools Tools for the 'qdap' Package | 1.3.7 |
qeML Quick and Easy Machine Learning Tools | 1.1 |
qgam Smooth Additive Quantile Regression Models | 1.3.4 |
qgcomp Quantile G-Computation | 2.15.2 |
qgraph Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation | 1.9.8 |
qicharts Quality Improvement Charts | 0.5.8 |
qicharts2 Quality Improvement Charts | 0.7.5 |
qif Quadratic Inference Function | 1.5 |
qmap Statistical Transformations for Post-Processing Climate Model Output | 1.0-4 |
qmrparser Parser Combinator in R | 0.1.6 |
qpdf Split, Combine and Compress PDF Files | 1.3.4 |
qqconf Creates Simultaneous Testing Bands for QQ-Plots | 1.3.2 |
qqman Q-Q and Manhattan Plots for GWAS Data | 0.1.9 |
qqplotr Quantile-Quantile Plot Extensions for 'ggplot2' | 0.0.6 |
qrcm Quantile Regression Coefficients Modeling | 3.1 |
qrcode Generate QRcodes with R | 0.3.0 |
QRM Provides R-Language Code to Examine Quantitative Risk Management Concepts | 0.4-31 |
qrng (Randomized) Quasi-Random Number Generators | 0.0-10 |
qrnn Quantile Regression Neural Network | 2.1.1 |
qs Quick Serialization of R Objects | 0.27.2 |
qspray Multivariate Polynomials with Rational Coefficients | 3.1.0 |
QSutils | 1.24.0 |
qtl Tools for Analyzing QTL Experiments | 1.70 |
qtl2 Quantitative Trait Locus Mapping in Experimental Crosses | 0.36 |
qtl2convert Convert Data among QTL Mapping Packages | 0.30 |
Qtools Utilities for Quantiles | 1.5.9 |
quadform Efficient Evaluation of Quadratic Forms | 0.0-2 |
quadprog Functions to Solve Quadratic Programming Problems | 1.5-8 |
qualV Qualitative Validation Methods | 0.3-5 |
Quandl API Wrapper for Quandl.com | 2.11.0 |
quantdr Dimension Reduction Techniques for Conditional Quantiles | 1.2.2 |
quanteda Quantitative Analysis of Textual Data | 4.1.0 |
quanteda.textstats Textual Statistics for the Quantitative Analysis of Textual Data | 0.97.2 |
quantiseqr | 1.14.0 |
quantmod Quantitative Financial Modelling Framework | 0.4.26 |
quantreg Quantile Regression | 5.99.1 |
quantregForest Quantile Regression Forests | 1.3-7.1 |
quantro | 1.40.0 |
quantsmooth | 1.72.0 |
quantspec Quantile-Based Spectral Analysis of Time Series | 1.2-4 |
quarto R Interface to 'Quarto' Markdown Publishing System | 1.4.4 |
questionr Functions to Make Surveys Processing Easier | 0.7.8 |
quickcode Quick and Essential 'R' Tricks for Better Scripts | 1.0.3 |
QuickJSR Interface for the 'QuickJS' Lightweight 'JavaScript' Engine | 1.4.0 |
quickPlot A System of Plotting Optimized for Speed and Modularity | 1.0.2 |
qusage | 2.40.0 |
qvalue Q-value estimation for false discovery rate control | 2.38.0 |
qvcalc Quasi Variances for Factor Effects in Statistical Models | 1.0.3 |
r.blip Bayesian Network Learning Improved Project | 1.1 |
R.cache Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations | 0.16.0 |
R.devices Unified Handling of Graphics Devices | 2.17.2 |
R.filesets Easy Handling of and Access to Files Organized in Structured Directories | 2.15.1 |
R.huge Methods for Accessing Huge Amounts of Data [deprecated] | 0.10.1 |
r.jive Perform JIVE Decomposition for Multi-Source Data | 2.4 |
R.matlab Read and Write MAT Files and Call MATLAB from Within R | 3.7.0 |
R.methodsS3 S3 Methods Simplified | 1.8.2 |
R.oo R Object-Oriented Programming with or without References | 1.27.0 |
r.proxy Set Proxy in R Console | 0.1.3 |
R.rsp Dynamic Generation of Scientific Reports | 0.46.0 |
R.temis Integrated Text Mining Solution | 0.1.3 |
R.utils Various Programming Utilities | 2.12.3 |
R0 Estimation of R0 and Real-Time Reproduction Number from Epidemics | 1.3-1 |
r02pro R Programming: Zero to Pro | 0.2 |
R1magic Compressive Sampling: Sparse Signal Recovery Utilities | 0.3.4 |
R2Addhaz R2 Measure of Explained Variation under the Additive Hazards Model | 0.1.0 |
R2admb 'ADMB' to R Interface Functions | 0.7.16.3 |
R2BayesX Estimate Structured Additive Regression Models with 'BayesX' | 1.1-5 |
R2BEAT Multistage Sampling Allocation and Sample Selection | 1.0.5 |
r2country Country Data with Names, Capitals, Currencies, Populations, Time, Languages and so on | 2.0.2.4.0 |
r2d2 Bivariate (Two-Dimensional) Confidence Region and Frequency Distribution | 1.0.2 |
r2d3 Interface to 'D3' Visualizations | 0.2.6 |
r2dictionary A Mini-Dictionary for 'R', 'Shiny' and 'Rmarkdown' Documents | 0.2 |
r2dii.analysis Measure Climate Scenario Alignment of Corporate Loans | 0.4.0 |
r2dii.data Datasets to Measure the Alignment of Corporate Loan Books with Climate Goals | 0.6.0 |
r2dii.match Tools to Match Corporate Lending Portfolios with Climate Data | 0.3.0 |
r2dii.plot Visualize the Climate Scenario Alignment of a Financial Portfolio | 0.4.0 |
R2DT Translation of Base R-Like Functions for 'data.table' Objects | 0.2 |
r2fireworks Enhance Your 'Rmarkdown' and 'shiny' Apps with Dazzling Fireworks Celebrations | 0.1.0 |
r2glmm Computes R Squared for Mixed (Multilevel) Models | 0.1.2 |
R2HTML HTML Exportation for R Objects | 2.3.4 |
R2jags Using R to Run 'JAGS' | 0.8-9 |
r2mlm R-Squared Measures for Multilevel Models | 0.3.7 |
R2MLwiN Running 'MLwiN' from Within R | 0.8-9 |
R2OpenBUGS Running OpenBUGS from R | 3.2-3.2.1 |
r2pmml Convert R Models to PMML | 0.29.0 |
r2pptx Object Oriented R -> PowerPoint | 0.1.0 |
r2r R-Object to R-Object Hash Maps | 0.1.2 |
r2redux R2 Statistic | 1.0.17 |
r2resize In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents | 1.9.2 |
R2ROC AUC Statistics | 1.0.1 |
r2rtf Easily Create Production-Ready Rich Text Format (RTF) Table and Figure | 1.1.1 |
R2sample Various Methods for the Two Sample Problem | 2.2.0 |
r2shortcode Shorten Function Names of Functions in Another Package and Create an Index to Make Them Accessible | 0.2 |
r2social Seamless Integration of Sharing and Connect Buttons in Markdown and Apps | 1.2.1 |
r2spss Format R Output to Look Like SPSS | 0.3.2 |
r2stl Visualizing Data using a 3D Printer | 1.0.3 |
r2sundials Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem | 6.5.0-5 |
R2SWF Convert R Graphics to Flash Animations | 0.9-9 |
r2symbols Symbols for 'Markdown' and 'Shiny' Application | 1.4 |
R2ucare Goodness-of-Fit Tests for Capture-Recapture Models | 1.0.2 |
R2WinBUGS Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS' | 2.1-22.1 |
r311 Interface to the 'open311' Standard | 0.3.7 |
r3dmol Create Interactive 3D Visualizations of Molecular Data | 0.1.2 |
r3js 'WebGL'-Based 3D Plotting using the 'three.js' Library | 0.0.2 |
r3PG Simulating Forest Growth using the 3-PG Model | 0.1.6 |
R3port Report Functions to Create HTML and PDF Files | 0.2.5 |
R4CouchDB A R Convenience Layer for CouchDB 2.0 | 0.7.5 |
r4ds.tutorials Tutorials for "R for Data Science" | 0.3.0 |
r4googleads 'Google Ads API' Interface | 0.1.1 |
R4HCR R for Health Care Research | 0.1 |
r4lineups Statistical Inference on Lineup Fairness | 0.1.1 |
R4RNA | 1.34.0 |
r4ss R Code for Stock Synthesis | 1.44.0 |
r5r Rapid Realistic Routing with 'R5' | 2.0 |
R6 Encapsulated Classes with Reference Semantics | 2.5.1 |
R62S3 Automatic Method Generation from R6 | 1.4.1 |
R6causal R6 Class for Structural Causal Models | 0.8.3 |
R6DS R6 Reference Class Based Data Structures | 1.2.0 |
r6extended Extension for 'R6' Base Class | 0.1.2 |
r6methods Make Methods for R6 Classes | 0.1.0 |
R6P Design Patterns in R | 0.3.0 |
r6qualitytools R6-Based Statistical Methods for Quality Science | 1.0.1 |
ra4bayesmeta Reference Analysis for Bayesian Meta-Analysis | 1.0-8 |
rabi Generate Codes to Uniquely and Robustly Identify Individuals for Animal Behavior Studies | 1.0.2 |
RABR Simulations for Response Adaptive Block Randomization Design | 0.1.1 |
RAC R Package for Aqua Culture | 1.5.5 |
racademyocean Client for 'AcademyOcean API' | 0.3.3 |
RaceID Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data | 0.3.9 |
raceland Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography | 1.2.1 |
racir Rapid A/Ci Response (RACiR) Data Analysis | 2.0.0 |
Racmacs Antigenic Cartography Macros | 1.2.9 |
ractivecampaign Loading Data from 'ActiveCampaign API v3' | 0.2.0 |
rADA Statistical Analysis and Cut-Point Determination of Immunoassays | 1.1.9 |
radar Fundamental Formulas for Radar | 1.0.0 |
radarBoxplot Implementation of the Radar-Boxplot | 1.0.5 |
radarchart Radar Chart from 'Chart.js' | 0.3.1 |
RadData Nuclear Decay Data for Dosimetric Calculations - ICRP 107 | 1.0.2 |
RadEro Cs-137 Conversion Model | 1.0.5 |
RadialVisGadgets Interactive Gadgets for Radial Visualization Approaches | 0.2.0 |
radiant Business Analytics using R and Shiny | 1.6.6 |
radiant.basics Basics Menu for Radiant: Business Analytics using R and Shiny | 1.6.6 |
radiant.data Data Menu for Radiant: Business Analytics using R and Shiny | 1.6.7 |
radiant.design Design Menu for Radiant: Business Analytics using R and Shiny | 1.6.6 |
radiant.model Model Menu for Radiant: Business Analytics using R and Shiny | 1.6.7 |
radiant.multivariate Multivariate Menu for Radiant: Business Analytics using R and Shiny | 1.6.6 |
RadioSonde Tools for Plotting Skew-T Diagrams and Wind Profiles | 4.2 |
radir Inverse-Regression Estimation of Radioactive Doses | 1.0.4 |
radlibs Build Your Own Madlibs! | 0.2.0 |
RadOnc Analytical Tools for Radiation Oncology | 1.1.8 |
radous Query Random User Data from the Random User Generator API | 0.1.3 |
radsafer Radiation Safety | 2.3.0 |
RADstackshelpR Optimize the De Novo Stacks Pipeline via R | 0.1.0 |
Radviz Project Multidimensional Data in 2D Space | 0.9.3 |
RAdwords Loading Google Adwords Data into R | 0.1.18 |
raem Analytic Element Modeling of Steady Single-Layer Groundwater Flow | 0.1.0 |
rafalib Convenience Functions for Routine Data Exploration | 1.0.0 |
RAFS Robust Aggregative Feature Selection | 0.2.4 |
rafsi Ranking of Alternatives with the RAFSI Method | 0.0.2 |
Rage Life History Metrics from Matrix Population Models | 1.6.0 |
ragg Graphic Devices Based on AGG | 1.3.3 |
RaggedExperiment | 1.30.0 |
RagGrid A Wrapper of the 'JavaScript' Library 'agGrid' | 0.2.0 |
rags2ridges Ridge Estimation of Precision Matrices from High-Dimensional Data | 2.2.7 |
ragtop Pricing Equity Derivatives with Extensions of Black-Scholes | 1.1.1 |
rai Revisiting-Alpha-Investing for Polynomial Regression | 1.0.0 |
rainbow Bagplots, Boxplots and Rainbow Plots for Functional Data | 3.8 |
RAINBOWR Genome-Wide Association Study with SNP-Set Methods | 0.1.35 |
raincin Ranking with Incomplete Information | 1.0.3 |
rainette The Reinert Method for Textual Data Clustering | 0.3.1.1 |
RainfallErosivityFactor The Rainfall-Runoff Erosivity Factor | 1.0.0 |
rainfarmr Stochastic Precipitation Downscaling with the RainFARM Method | 0.1 |
rairtable Efficient Wrapper for the 'Airtable' API | 0.1.2 |
RaJIVE Robust Angle Based Joint and Individual Variation Explained | 1.0 |
rakeR Easy Spatial Microsimulation (Raking) in R | 0.2.1 |
ralger Easy Web Scraping | 2.2.4 |
RALSA R Analyzer for Large-Scale Assessments | 1.5.0 |
RamanMP Analysis and Identification of Raman Spectra of Microplastics | 1.0 |
Ramble Parser Combinator for R | 0.1.1 |
rAmCharts JavaScript Charts Tool | 2.1.15 |
rAmCharts4 Interface to the JavaScript Library 'amCharts 4' | 1.6.0 |
ramchoice Revealed Preference and Attention Analysis in Random Limited Attention Models | 2.2 |
RAMClustR Mass Spectrometry Metabolomics Feature Clustering and Interpretation | 1.3.1 |
ramcmc Robust Adaptive Metropolis Algorithm | 0.1.2 |
rameritrade 'TD Ameritrade' API Interface for R | 0.1.5 |
ramify Additional Matrix Functionality | 0.3.3 |
ramlegacy Download and Read RAM Legacy Stock Assessment Database | 0.2.0 |
RAMP Regularized Generalized Linear Models with Interaction Effects | 2.0.2 |
RAMpath Structural Equation Modeling Using the Reticular Action Model (RAM) Notation | 0.5.1 |
ramps Bayesian Geostatistical Modeling with RAMPS | 0.6.18 |
RaMS R Access to Mass-Spec Data | 1.4.3 |
ramsvm Reinforced Angle-Based Multicategory Support Vector Machines | 2.3 |
randChecks Covariate Balance Checks: Randomization Tests and Graphical Diagnostics | 0.2.1 |
randcorr Generate a Random p x p Correlation Matrix | 1.0 |
randgeo Generate Random 'WKT' or 'GeoJSON' | 0.3.0 |
RandMeta Efficient Numerical Algorithm for Exact Inference in Meta Analysis | 0.1.0 |
randnet Random Network Model Estimation, Selection and Parameter Tuning | 0.7 |
rando Context Aware Random Numbers | 0.2.0 |
random True Random Numbers using RANDOM.ORG | 0.2.6 |
random.cdisc.data Create Random ADaM Datasets | 0.3.16 |
random.polychor.pa A Parallel Analysis with Polychoric Correlation Matrices | 1.1.4-5 |
randomcoloR Generate Attractive Random Colors | 1.1.0.1 |
RandomFields Simulation and Analysis of Random Fields | 3.3.14 |
RandomFieldsUtils Utilities for the Simulation and Analysis of Random Fields and Genetic Data | 1.2.5 |
randomForest Breiman and Cutlers Random Forests for Classification and Regression | 4.7-1.2 |
randomForestExplainer Explaining and Visualizing Random Forests in Terms of Variable Importance | 0.10.1 |
RandomForestsGLS Random Forests for Dependent Data | 0.1.5 |
randomForestSRC Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) | 3.3.1 |
randomForestVIP Tune Random Forests Based on Variable Importance & Plot Results | 0.1.3 |
randomGLM Random General Linear Model Prediction | 1.10-1 |
randomizationInference Flexible Randomization-Based Inference | 1.0.4 |
randomizeBE Create a Random List for Crossover Studies | 0.3-6 |
randomizeR Randomization for Clinical Trials | 3.0.2 |
randomizr Easy-to-Use Tools for Common Forms of Random Assignment and Sampling | 1.0.0 |
randomLCA Random Effects Latent Class Analysis | 1.1-4 |
randomMachines An Ensemble Modeling using Random Machines | 0.1.0 |
randomNames Generate Random Given and Surnames | 1.6-0.0 |
RandomProjectionTest Two-Sample Test in High Dimensions using Random Projection | 0.1.4 |
randomUniformForest Random Uniform Forests for Classification, Regression and Unsupervised Learning | 1.1.6 |
Randomuseragent Filtering and Randomly Sampling Real User-Agent Strings | 0.0.1 |
RandomWalker Generate Random Walks Compatible with the 'tidyverse' | 0.2.0 |
RandPro Random Projection with Classification | 0.2.2 |
randquotes Get Random Quotes from Quotes on Design API | 0.1.1 |
randtests Testing Randomness in R | 1.0.2 |
randtoolbox Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests | 2.0.5 |
RandVar Implementation of Random Variables | 1.2.4 |
rang Reconstructing Reproducible R Computational Environments | 0.3.0 |
rangeBuilder Occurrence Filtering, Geographic Standardization and Generation of Species Range Polygons | 2.2 |
rangeMapper A Platform for the Study of Macro-Ecology of Life History Traits | 2.0.3 |
rangeModelMetadata Provides Templates for Metadata Files Associated with Species Range Models | 0.1.5 |
ranger A Fast Implementation of Random Forests | 0.17.0 |
RanglaPunjab Displays Palette of 5 Colors | 2.3.4 |
rank Customisable Ranking of Numerical and Categorical Data | 0.1.1 |
RankAggreg Weighted Rank Aggregation | 0.6.6 |
RankAggregator Aggregation of (Partial) Ordinal Rankings | 0.0.1 |
RankAggSIgFUR Polynomially Bounded Rank Aggregation under Kemeny's Axiomatic Approach | 1.0.0 |
Rankcluster Model-Based Clustering for Multivariate Partial Ranking Data | 0.98.0 |
rankCorr Total, Between-, and Within-Cluster Spearman Rank Correlations for Clustered Data | 1.0.1 |
rankdifferencetest Kornbrot's Rank Difference Test | 2021-11-25 |
rankdist Distance Based Ranking Models | 1.1.4 |
rankFD Rank-Based Tests for General Factorial Designs | 0.1.1 |
rankhazard Rank-Hazard Plots | 1.1.0 |
rankICC Rank Intraclass Correlation for Clustered Data | 1.0.2 |
RankingProject The Ranking Project: Visualizations for Comparing Populations | 0.4.0 |
rankinma Rank in Network Meta-Analysis | 0.2.2 |
rankinPlot Convenient Plotting for the Modified Rankin Scale and Other Ordinal Outcome Data | 1.1.0 |
RankPCA Rank of Variables Based on Principal Component Analysis for Mixed Data Types | 0.1.0 |
rankrate Joint Statistical Models for Preference Learning with Rankings and Ratings | 1.2.0 |
RankResponse Ranking Responses in a Single Response Question or a Multiple Response Question | 4.0.0 |
RANKS Ranking of Nodes with Kernelized Score Functions | 1.1 |
ranktreeEnsemble Ensemble Models of Rank-Based Trees with Extracted Decision Rules | 0.23 |
RANN Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric | 2.6.2 |
Rapi Interface for Multiple Data Providers 'EDDS' and 'FRED' | 1.0.5 |
rapiclient Dynamic OpenAPI/Swagger Client | 0.1.8 |
RApiDatetime R API for 'Date' and 'Datetime' | 0.0.9 |
RapidFuzz String Similarity Computation Using 'RapidFuzz' | 1.0 |
rapidjsonr 'Rapidjson' C++ Header Files | 1.2.0 |
rapidoc Generates 'RapiDoc' Documentation from an 'OpenAPI' Specification | 9.3.4 |
RapidoPGS A Fast and Light Package to Compute Polygenic Risk Scores | 2.3.0 |
rapidphylo Rapidly Estimates Phylogeny from Large Allele Frequency Data Using Root Distances Method | 0.1.2 |
RapidPolygonLookup POLYGON LOOKUP USING KD TREES | 0.1.1 |
rapidraker Rapid Automatic Keyword Extraction (RAKE) Algorithm | 0.1.3 |
rapidsplithalf A Fast Split-Half Reliability Algorithm | 0.3 |
rapidxmlr 'Rapidxml' C++ Header Files | 0.1.0 |
RApiSerialize R API Serialization | 0.1.4 |
Rapp Easily Build Command Line Applications | 0.2.0 |
RAppArmor Bindings to AppArmor and Security Related Linux Tools | 3.2.5 |
rappdirs Application Directories: Determine Where to Save Data, Caches, and Logs | 0.3.3 |
rapport A Report Templating System | 1.1 |
rapportools Miscellaneous (Stats) Helper Functions with Sane Defaults for Reporting | 1.1 |
rappsflyer Work with AppsFlyer API | 0.2.0 |
rapsimng APSIM Next Generation | 0.4.4 |
RAPTOR Row and Position Tracheid Organizer | 1.0.1 |
raptr Representative and Adequate Prioritization Toolkit in R | 1.0.1 |
raqs Interface to the US EPA Air Quality System (AQS) API | 1.0.2 |
RAQSAPI A Simple Interface to the US EPA Air Quality System Data Mart API | 2.0.5 |
Raquifer Estimate the Water Influx into Hydrocarbon Reservoirs | 0.1.0 |
rar Risk-Adjusted Regression | 0.0.3 |
rare Linear Model with Tree-Based Lasso Regularization for Rare Features | 0.1.1 |
RareComb Combinatorial and Statistical Analyses of Rare Events | 1.1 |
rareNMtests Ecological and Biogeographical Null Model Tests for Comparing Rarefaction Curves | 1.2 |
rarestR Rarefaction-Based Species Richness Estimator | 1.1.0 |
RARfreq Response Adaptive Randomization with 'Frequentist' Approaches | 0.1.5 |
Rarity Calculation of Rarity Indices for Species and Assemblages of Species | 1.3-8 |
rarms Access Data from the USDA ARMS Data API | 1.0.0 |
rARPACK Solvers for Large Scale Eigenvalue and SVD Problems | 0.11-0 |
RARtrials Response-Adaptive Randomization in Clinical Trials | 0.0.1 |
RaschSampler Rasch Sampler | 0.8-10 |
rasciidoc Create Reports Using R and 'asciidoc' | 4.1.1 |
rasclass Supervised Raster Image Classification | 0.2.2 |
RaSEn Random Subspace Ensemble Classification and Variable Screening | 3.0.0 |
rassta Raster-Based Spatial Stratification Algorithms | 1.0.6 |
raster Geographic Data Analysis and Modeling | 3.6-30 |
rasterbc Access Forest Ecology Layers for British Columbia in 2001-2018 | 1.0.2 |
rasterdiv Diversity Indices for Numerical Matrices | 0.3.6 |
rasterDT Fast Raster Summary and Manipulation | 0.3.2 |
rasterImage An Improved Wrapper of image() | 0.4.0 |
rasterize Rasterize Graphical Output | 0.1 |
rasterKernelEstimates Kernel Based Estimates on in-Memory Raster Images | 1.0.2 |
rasterList A Raster Where Cells are Generic Objects | 0.5.20 |
rasterpdf Plot Raster Graphics in PDF Files | 0.1.1 |
rasterpic Convert Digital Images into 'SpatRaster' Objects | 0.2.5 |
rasterVis Visualization Methods for Raster Data | 0.51.6 |
RAT Research Assessment Tools | 0.3.1 |
Rata Automated Test Assembly | 0.0.2 |
ratdat Portal Project Teaching Database | 1.1.0 |
ratelimitr Rate Limiting for R | 0.4.1 |
ratematrix Bayesian Estimation of the Evolutionary Rate Matrix | 1.2.4 |
rater Statistical Models of Repeated Categorical Rating Data | 1.3.1 |
rateratio.test Exact Rate Ratio Test | 1.1 |
raters A Modification of Fleiss' Kappa in Case of Nominal and Ordinal Variables | 2.1.1 |
ratesci Confidence Intervals for Comparisons of Binomial or Poisson Rates | 0.4-0 |
RATest Randomization Tests | 0.1.10 |
RAthena Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface) | 2.6.1 |
RatingScaleReduction Rating Scale Reduction Procedure | 1.4 |
RationalExp Rationalizing Rational Expectations. Tests and Deviations | 0.2.2 |
rationalfun Manipulation of Rational Functions | 0.1-1 |
RationalMatrix Exact Matrix Algebra for Rational Matrices | 1.0.0 |
ratioOfQsprays Fractions of Multivariate Polynomials with Rational Coefficients | 1.1.0 |
ratios Calculating Ratios Between Two Data Sets and Correction for Adhering Particles on Plants | 1.2.0 |
ratlas ATLAS Formatting Functions and Templates | 0.1.0 |
rATTAINS Access EPA 'ATTAINS' Data | 1.0.0 |
rattle Graphical User Interface for Data Science in R | 5.5.1 |
Ravages Rare Variant Analysis and Genetic Simulations | 1.1.3 |
ravelRy An Interface to the 'Ravelry' API | 0.1.0 |
raven.rdf An R Interface for Raven DataFrames (Beta0) | 0.2.0 |
RavenR Raven Hydrological Modelling Framework R Support and Analysis | 2.2.2 |
rAverage Parameter Estimation for the Averaging Model of Information Integration Theory | 0.5-8 |
ravetools Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data | 0.1.9 |
raw R Actuarial Workshops | 0.1.8 |
RawHummus Raw Data Quality Control Tool for LC-MS System | 0.3.3 |
rawKS Easily Get True-Positive Rate and False-Positive Rate and KS Statistic | 0.1.0 |
raws.profile Managing Profiles on Amazon Web Service | 0.1.0 |
raybevel Generates Polygon Straight Skeletons and 3D Bevels | 0.1.3 |
rayimage Image Processing for Simulated Cameras | 0.11.0 |
raymolecule Parse and Render Molecular Structures in 3D | 0.5.3 |
rayrender Build and Raytrace 3D Scenes | 0.34.3 |
rayshader Create Maps and Visualize Data in 2D and 3D | 0.37.3 |
raytracing Rossby Wave Ray Tracing | 0.6.0 |
rayvertex 3D Software Rasterizer | 0.11.4 |
RAZIAD Regression Analysis of Zero-Inflated and Zero-Altered(Hurdle) Data | 0.0.1 |
rb3 Download and Parse Public Data Released by B3 Exchange | 0.0.11 |
rbacon Age-Depth Modelling using Bayesian Statistics | 3.3.1 |
rBahadur Assortative Mating Simulation and Multivariate Bernoulli Variates | 1.0.0 |
RBaseX 'BaseX' Client | 1.1.2 |
rBayesianOptimization Bayesian Optimization of Hyperparameters | 1.2.1 |
rbbnp A Bias Bound Approach to Non-Parametric Inference | 0.1.0 |
rbc Regression by Composition | 0.1.0 |
rbcb R Interface to Brazilian Central Bank Web Services | 0.1.14 |
rbcc Risk-Based Control Charts | 0.1.3 |
rbch Extraction and Analysis of Data from the Bitcoin Cash (BCH) Blockchain | 0.1-2 |
rBDAT Implementation of BDAT Tree Taper Fortran Functions | 1.0.0 |
RBE3 Estimation and Additional Tools for Quantile Generalized Beta Regression Model | 1.1 |
Rbeast Bayesian Change-Point Detection and Time Series Decomposition | 1.0.1 |
rbedrock Analysis and Manipulation of Data from Minecraft Bedrock Edition | 0.3.2 |
rbenchmark Benchmarking routine for R | 1.0.0 |
Rbent Robust Bent Line Regression | 0.1.0 |
RBesT R Bayesian Evidence Synthesis Tools | 1.7-4 |
rBeta2009 The Beta Random Number and Dirichlet Random Vector Generating Functions | 1.0.1 |
RBF Robust Backfitting | 2.1.1 |
RBGL An interface to the BOOST graph library | 1.82.0 |
rbgm Tools for 'Box Geometry Model' (BGM) Files and Topology for the Atlantis Ecosystem Model | 0.1.0 |
rbi Interface to 'LibBi' | 1.0.0 |
rbi.helpers 'rbi' Helper Functions | 0.4.0 |
rBiasCorrection Correct Bias in DNA Methylation Analyses | 0.3.4 |
rbibutils Read 'Bibtex' Files and Convert Between Bibliography Formats | 2.3 |
rbin Tools for Binning Data | 0.2.1 |
rbioacc Inference and Prediction of ToxicoKinetic (TK) Models | 1.2.1 |
rbioapi User-Friendly R Interface to Biologic Web Services' API | 0.8.1 |
rbiom Read/Write, Transform, and Summarize 'BIOM' Data | 1.0.3 |
rbiouml Interact with BioUML Server | 1.11 |
rbit Binary Indexed Tree | 1.0.0 |
RblDataLicense R Interface to 'Bloomberg Data License' | 0.2.6 |
Rblpapi R Interface to 'Bloomberg' | 0.3.15 |
rblt Bio-Logging Toolbox | 0.2.4.7 |
rBMF Boolean Matrix Factorization | 1.1 |
rbmi Reference Based Multiple Imputation | 1.3.1 |
rbmn Handling Linear Gaussian Bayesian Networks | 0.9-6 |
RBNZ Download Data from the Reserve Bank of New Zealand Website | 1.1.0 |
rbooster AdaBoost Framework for Any Classifier | 1.1.0 |
Rborist Extensible, Parallelizable Implementation of the Random Forest Algorithm | 0.3-7 |
rbounds Perform Rosenbaum Bounds Sensitivity Tests for Matched and Unmatched Data | 2.2 |
RBPcurve The Residual-Based Predictiveness Curve | 1.2 |
rbridge Restricted Bridge Estimation | 1.0.2 |
rbscCI Blyth-Still-Casella Confidence Interval | 0.1.1 |
rbtc Bitcoin API | 0.1-7 |
RBtest Regression-Based Approach for Testing the Type of Missing Data | 1.1 |
rbtt Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error for Non-Negative, Zero-Inflated Data | 0.1.0 |
rbw Residual Balancing Weights for Marginal Structural Models | 0.3.2 |
RbyExample Data for the Book "R by Example" | 0.0.100 |
RCA Relational Class Analysis | 2.0 |
rcaiman CAnopy IMage ANalysis | 1.2.2 |
RCAL Regularized Calibrated Estimation | 2.0 |
RCALI Calculation of the Integrated Flow of Particles Between Polygons | 0.3.7 |
Rcan Cancer Registry Data Analysis and Visualisation | 1.3.91 |
Rcapture Loglinear Models for Capture-Recapture Experiments | 1.4-4 |
RCarb Dose Rate Modelling of Carbonate-Rich Samples | 0.1.6 |
rcarbon Calibration and Analysis of Radiocarbon Dates | 1.5.1 |
rcartocolor 'CARTOColors' Palettes | 2.1.1 |
Rcatch22 Calculation of 22 Canonical Time-Series Characteristics | 0.2.3 |
RcausalEGM A General Causal Inference Framework by Encoding Generative Modeling | 0.3.3 |
rcausim Generate Causally-Simulated Data | 0.1.1 |
rCBA CBA Classifier | 0.4.3 |
rcbalance Large, Sparse Optimal Matching with Refined Covariate Balance | 1.8.8 |
rcbayes Estimate Rogers-Castro Migration Age Schedules with Bayesian Models | 0.2.0 |
RCBR Random Coefficient Binary Response Estimation | 0.6.2 |
rcbsubset Optimal Subset Matching with Refined Covariate Balance | 1.1.7 |
rcc Parametric Bootstrapping to Control Rank Conditional Coverage | 1.0.0 |
rcccd Class Cover Catch Digraph Classification | 0.3.2 |
rccola Safely Manage API Keys and Load Data from a REDCap or Other Source | 1.0.2 |
RCCPCA "Retained Component Criterion for Principal Component Analysis" | 0.1.0 |
rcdd Computational Geometry | 1.6 |
rcDEA Robust and Conditional Data Envelopment Analysis (DEA) | 1.0 |
rcdk Interface to the 'CDK' Libraries | 3.8.1 |
rcdklibs The CDK Libraries Packaged for R | 2.9 |
RCDT Fast 2D Constrained Delaunay Triangulation | 1.3.0 |
RCEIM R Cross Entropy Inspired Method for Optimization | 0.3 |
rcens Generate Sample Censoring | 0.1.1 |
Rcereal "Cereal Headers for R and C++ Serialization" | 1.3.2 |
RcextTools Analytical Procedures in Support of Brazilian Public Sector External Auditing | 0.1.1 |
RCGLS Download and Open Data Provided by the Copernicus Global Land Service | 1.0.3 |
rchallenge A Simple Data Science Challenge System | 1.3.4 |
rchemo Dimension Reduction, Regression and Discrimination for Chemometrics | 0.1-3 |
rcheology Data on Base and Recommended Packages for Current and Previous Versions of R | 4.4.2.0 |
RChest Locating Distributional Changes in Highly Dependent Time Series | 1.0.3 |
RchivalTag Analyzing and Interactive Visualization of Archival Tagging Data | 0.1.9 |
Rchoice Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters | 0.3-6 |
rChoiceDialogs 'rChoiceDialogs' Collection | 1.0.6.1 |
RChronoModel Post-Processing of the Markov Chain Simulated by ChronoModel or Oxcal | 0.4 |
rciplot Plot Jacobson-Truax Reliable Change Indices | 0.1.1 |
RCircos Circos 2D Track Plot | 1.2.2 |
rcites R Interface to the Species+ Database | 1.3.0 |
RCLabels Manipulate Matrix Row and Column Labels with Ease | 0.1.10 |
RClickhouse 'Yandex Clickhouse' Interface for R with Basic 'dplyr' Support | 0.6.9 |
RClimacell R Wrapper for the 'Climacell' API | 0.1.4 |
rclipboard Shiny/R Wrapper for 'clipboard.js' | 0.2.1 |
RclusTool Graphical Toolbox for Clustering and Classification of Data Frames | 0.91.6 |
rCMA R-to-Java Interface for 'CMA-ES' | 1.1.1 |
rcmdcheck Run 'R CMD check' from 'R' and Capture Results | 1.4.0 |
Rcmdr R Commander | 2.9-5 |
RcmdrMisc R Commander Miscellaneous Functions | 2.9-1 |
RcmdrPlugin.aRnova R Commander Plug-in for Repeated-Measures ANOVA | 0.0.5 |
RcmdrPlugin.BiclustGUI 'Rcmdr' Plug-in GUI for Biclustering | 1.1.3.1 |
RcmdrPlugin.BWS1 R Commander Plug-in for Case 1 Best-Worst Scaling | 0.2-2 |
RcmdrPlugin.BWS2 R Commander Plug-in for Case 2 Best-Worst Scaling | 0.2-2 |
RcmdrPlugin.BWS3 R Commander Plug-in for Case 3 Best-Worst Scaling | 0.2-3 |
RcmdrPlugin.cpd R Commander Plug-in for Complex Pearson Distributions | 0.2.0 |
RcmdrPlugin.DCCV R Commander Plug-in for Dichotomous Choice Contingent Valuation | 0.1-5 |
RcmdrPlugin.DCE R Commander Plug-in for Discrete Choice Experiments | 0.2-3 |
RcmdrPlugin.depthTools R Commander Depth Tools Plug-in | 1.4 |
RcmdrPlugin.DoE R Commander Plugin for (Industrial) Design of Experiments | 0.12-6 |
RcmdrPlugin.EACSPIR Plugin de R-Commander para el Manual 'EACSPIR' | 0.2-3 |
RcmdrPlugin.EBM Rcmdr Evidence Based Medicine Plug-in Package | 1.0-10 |
RcmdrPlugin.EcoVirtual Rcmdr EcoVirtual Plugin | 1.0 |
RcmdrPlugin.Export Export R Output to LaTeX or HTML | 0.3-1 |
RcmdrPlugin.EZR R Commander Plug-in for the EZR (Easy R) Package | 1.68 |
RcmdrPlugin.FactoMineR Graphical User Interface for FactoMineR | 1.8 |
RcmdrPlugin.GWRM R Commander Plug-in for Fitting Generalized Waring Regression Models | 1.0.2 |
RcmdrPlugin.HH Rcmdr Support for the HH Package | 1.1-51 |
RcmdrPlugin.KMggplot2 R Commander Plug-in for Data Visualization with 'ggplot2' | 0.2-6 |
RcmdrPlugin.MA Graphical User Interface for Conducting Meta-Analyses in R | 0.0-2 |
RcmdrPlugin.MPAStats R Commander Plug-in for MPA Statistics | 1.2.2 |
RcmdrPlugin.NMBU R Commander Plug-in for University Level Applied Statistics | 1.8.15 |
RcmdrPlugin.orloca A GUI for Planar Location Problems | 4.8.2 |
RcmdrPlugin.PcaRobust R Commander Plug-in for Robust Principal Component Analysis | 1.1.4 |
RcmdrPlugin.RiskDemo R Commander Plug-in for Risk Demonstration | 3.2 |
RcmdrPlugin.RMTCJags R MTC Jags 'Rcmdr' Plugin | 1.0-2 |
RcmdrPlugin.ROC Rcmdr Receiver Operator Characteristic Plug-in Package | 1.0-19 |
RcmdrPlugin.sos Efficiently search the R help pages | 0.3-0 |
RcmdrPlugin.survival R Commander Plug-in for the 'survival' Package | 1.3-2 |
RcmdrPlugin.TeachingDemos Rcmdr Teaching Demos Plug-in | 1.2-0 |
RcmdrPlugin.TeachStat R Commander Plugin for Teaching Statistical Methods | 1.1.3 |
RcmdrPlugin.temis Graphical Integrated Text Mining Solution | 0.7.10 |
RcmdrPlugin.UCA UCA Rcmdr Plug-in | 5.1-2 |
RcmdrPlugin.WorldFlora R Commander Plug-in for the 'WorldFlora' Package | 1.3 |
RCMinification Random Coefficient Minification Time Series Models | 1.2 |
RCMsize Sample Size Calculation in Reversible Catalytic Models | 1.0.0 |
RCNA Robust Copy Number Alteration Detection (RCNA) | 1.0 |
rCNV Detect Copy Number Variants from SNPs Data | 1.3.0 |
rco The R Code Optimizer | 1.0.2 |
rcoder Lightweight Data Structure for Recoding Categorical Data without Factors | 0.3.0 |
RCognito A Simplified Interface for 'Amazon Cognito' | 0.1.0 |
RColetum Access your Coletum's Data from API | 0.2.2 |
rcollectadhd Collection of Data Sets Containing ADHD Related Data | 0.8 |
RColorBrewer ColorBrewer Palettes | 1.1-3 |
RColorConesa Conesa Colors Palette | 1.0.0 |
rcolors 270 'NCL' Color Tables in R Language | 0.1.0 |
Rcompadre Utilities for using the 'COM(P)ADRE' Matrix Model Database | 1.4.0 |
rcompanion Functions to Support Extension Education Program Evaluation | 2.4.36 |
rcompendium Create a Package or Research Compendium Structure | 1.3 |
rconfig Manage R Configuration at the Command Line | 0.3.0 |
RConics Computations on Conics | 1.1.1 |
rcontroll Individual-Based Forest Growth Simulator 'TROLL' | 0.1.2 |
rcorpora A Collection of Small Text Corpora of Interesting Data | 2.0.1 |
RCPA Consensus Pathway Analysis | 0.2.5 |
RCPA3 Data and Functions for R Companion to Political Analysis 3rd Ed | 1.3.1 |
Rcpp Seamless R and C++ Integration | 1.0.13-1 |
Rcpp11 R and C++11 | 3.1.2.0.1 |
RcppAlgos High Performance Tools for Combinatorics and Computational Mathematics | 2.8.5 |
RcppAnnoy 'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest Neighbors | 0.0.22 |
RcppAPT 'Rcpp' Interface to the APT Package Manager | 0.0.10 |
RcppArmadillo 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library | 14.2.2-1 |
RcppArray 'Rcpp' Meets 'C++' Arrays | 0.3.0 |
RcppBDT 'Rcpp' Bindings for the Boost Date_Time Library | 0.2.6 |
RcppBessel Bessel Functions Rcpp Interface | 1.0.0 |
RcppBigIntAlgos Factor Big Integers with the Parallel Quadratic Sieve | 1.1.0 |
RcppBlaze 'Rcpp' Integration for the 'Blaze' High-Performance 'C++' Math Library | 1.0.1 |
RcppCCTZ 'Rcpp' Bindings for the 'CCTZ' Library | 0.2.13 |
RcppCensSpatial Spatial Estimation and Prediction for Censored/Missing Responses | 0.3.0 |
RcppCGAL 'Rcpp' Integration for 'CGAL' | 6.0 |
RcppClassic Deprecated 'classic' 'Rcpp' 'API' | 0.9.13 |
RcppClassicExamples Examples using 'RcppClassic' to Interface R and C++ | 0.1.3 |
RcppClock Seamless 'Rcpp' Benchmarking | 1.1 |
RcppCNPy Read-Write Support for 'NumPy' Files via 'Rcpp' | 0.2.13 |
RcppColors Color Mappings and 'C++' Header Files for Color Conversion | 0.6.0 |
RcppCWB 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB') | 0.6.5 |
RcppDate 'date' C++ Header Library for Date and Time Functionality | 0.0.4 |
RcppDE Global Optimization by Differential Evolution in C++ | 0.1.7 |
RcppDist 'Rcpp' Integration of Additional Probability Distributions | 0.1.1 |
RcppDynProg 'Rcpp' Dynamic Programming | 0.2.1 |
RcppEigen 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library | 0.3.4.0.2 |
RcppEnsmallen Header-Only C++ Mathematical Optimization Library for 'Armadillo' | 0.2.22.1.1 |
RcppExamples Examples using 'Rcpp' to Interface R and C++ | 0.1.9 |
RcppFarmHash Interface to the Google 'FarmHash' Family of Hash Functions | 0.0.3 |
RcppFastAD 'Rcpp' Bindings to 'FastAD' Auto-Differentiation | 0.0.4 |
RcppFastFloat 'Rcpp' Bindings for the 'fast_float' Header-Only Library for Number Parsing | 0.0.4 |
RcppGetconf 'Rcpp' Interface for Querying System Configuration Variables | 0.0.3 |
RcppGreedySetCover Greedy Set Cover | 0.1.0 |
RcppGSL 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices | 0.3.13 |
RcppHMM Rcpp Hidden Markov Model | 1.2.2 |
RcppHNSW 'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors | 0.6.0 |
RcppHungarian Solves Minimum Cost Bipartite Matching Problems | 0.3 |
RcppInt64 'Rcpp'-Based Helper Functions to Pass 'Int64' and 'nanotime' Values Between 'R' and 'C++' | 0.0.5 |
RcppJagger An R Wrapper for Jagger | 0.0.2 |
RcppLbfgsBlaze 'L-BFGS' Algorithm Based on 'Blaze' for 'R' and 'Rcpp' | 0.1.0 |
RcppMagicEnum 'Rcpp' Bindings to 'Magic Enum' 'C++' 'Enum' Support | 0.0.1 |
RcppMeCab 'rcpp' Wrapper for 'mecab' Library | 0.0.1.2 |
RcppML Rcpp Machine Learning Library | 0.3.7 |
RcppMLPACK 'Rcpp' Integration for the 'MLPACK' Library | 1.0.10-7 |
RcppMsgPack 'MsgPack' C++ Header Files and Interface Functions for R | 0.2.3 |
RcppNLoptExample 'Rcpp' Package Illustrating Header-Only Access to 'NLopt' | 0.0.1 |
RcppNumerical 'Rcpp' Integration for Numerical Computing Libraries | 0.6-0 |
RcppParallel Parallel Programming Tools for 'Rcpp' | 5.1.9 |
RcppProgress An Interruptible Progress Bar with OpenMP Support for C++ in R Packages | 0.4.2 |
RcppQuantuccia R Bindings to the Calendaring Functionality of 'QuantLib' | 0.1.2 |
RcppRedis 'Rcpp' Bindings for 'Redis' using the 'hiredis' Library | 0.2.4 |
RcppRoll Efficient Rolling / Windowed Operations | 0.3.1 |
RcppSimdJson 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing | 0.1.12 |
RcppSMC Rcpp Bindings for Sequential Monte Carlo | 0.2.7 |
RcppSpdlog R and C++ Interfaces to 'spdlog' C++ Header Library for Logging | 0.0.19 |
RcppStreams 'Rcpp' Integration of the 'Streamulus' 'DSEL' for Stream Processing | 0.1.3 |
RcppThread R-Friendly Threading in C++ | 2.1.7 |
rcpptimer 'Rcpp' Tic-Toc Timer with 'OpenMP' Support | 1.2.1 |
RcppTN Rcpp-Based Truncated Normal Distribution RNG and Family | 0.2-2 |
RcppTOML 'Rcpp' Bindings to Parser for "Tom's Obvious Markup Language" | 0.2.2 |
RcppUUID Generating Universally Unique Identificators | 1.1.1 |
RcppXPtrUtils XPtr Add-Ons for 'Rcpp' | 0.1.2 |
RcppXsimd Xsimd C++ Header-Only Library Files | 7.1.6 |
RcppXts Interface the 'xts' API via 'Rcpp' | 0.0.6 |
RcppZiggurat 'Rcpp' Integration of Different "Ziggurat" Normal RNG Implementations | 0.1.6 |
rcprd Extraction and Management of Clinical Practice Research Datalink Data | 0.0.1 |
Rcrawler Web Crawler and Scraper | 0.1.9-1 |
RCreliability Correct Bias in Estimated Regression Coefficients | 0.1.0 |
rcrimeanalysis An Implementation of Crime Analysis Methods | 0.5.0 |
RCriteo Loading Criteo Data into R | 1.0.2 |
Rcriticor Pierre-Goldwin Correlogram | 2.0 |
RCRnorm An Integrated Regression Model for Normalizing 'NanoString nCounter' Data | 0.0.2 |
rcrossref Client for Various 'CrossRef' 'APIs' | 1.2.0 |
Rcsdp R Interface to the CSDP Semidefinite Programming Library | 0.1.57.5 |
RCSF Airborne LiDAR Filtering Method Based on Cloth Simulation | 1.0.2 |
rcssci Visualization of Restricted Cubic Splines | 0.4.0 |
Rcssplot Styling of Graphics using Cascading Style Sheets | 1.1.0 |
RCT Assign Treatments, Power Calculations, Balances, Impact Evaluation of Experiments | 1.2 |
RCT2 Designing and Analyzing Two-Stage Randomized Experiments | 0.0.1 |
rct3 Predict Fish Year-Class Strength from Survey Data | 1.0.4 |
RCTrep Validation of Estimates of Treatment Effects in Observational Data | 1.2.0 |
RCTS Clustering Time Series While Resisting Outliers | 0.2.4 |
rcube Simulations and Visualizations of Rubik's Cube (with Mods) | 0.5 |
RCurl General Network (HTTP/FTP/...) Client Interface for R | 1.98-1.16 |
Rcurvep Concentration-Response Data Analysis using Curvep | 1.3.1 |
RCy3 | 2.26.0 |
RCytoGPS Using Cytogenetics Data in R | 1.2.7 |
RCzechia Spatial Objects of the Czech Republic | 1.12.3 |
Rd2md Markdown Reference Manuals | 1.0.1 |
Rd2roxygen Convert Rd to 'Roxygen' Documentation | 1.16 |
rD3plot Interactive Networks, Timelines, Barplots, Galleries with 'D3.js' | 1.1.21 |
rda Shrunken Centroids Regularized Discriminant Analysis | 1.2-1 |
rdacca.hp Hierarchical and Variation Partitioning for Canonical Analysis | 1.1-1 |
rdaisi R Client for the Daisi Microservice Platform | 0.1.3 |
rdatacite Client for the 'DataCite' API | 0.5.4 |
rDataPipeline Functions to Interact with the 'FAIR Data Pipeline' | 0.60.0 |
rdataretriever R Interface to the Data Retriever | 3.1.1 |
rdbnomics Download DBnomics Data | 0.6.4 |
rdd Regression Discontinuity Estimation | 0.57 |
rddapp Regression Discontinuity Design Application | 1.3.2 |
rddensity Manipulation Testing Based on Density Discontinuity | 2.6 |
rddi R Interface to DDI Codebook 2.5 | 0.1.1 |
rddtools Toolbox for Regression Discontinuity Design ('RDD') | 1.6.0 |
rde Reproducible Data Embedding | 0.1.0 |
rDEA Robust Data Envelopment Analysis (DEA) for R | 1.2-8 |
rdecision Decision Analytic Modelling in Health Economics | 1.2.1 |
rDecode Descent-Based Calibrated Optimal Direct Estimation | 0.1.0 |
rdeps Identify External Packages Used in a Project | 0.2 |
rdflib Tools to Manipulate and Query Semantic Data | 0.2.9 |
rdfp An Implementation of the 'DoubleClick for Publishers' API | 0.1.4 |
RDHonest Honest Inference in Regression Discontinuity Designs | 1.0.0 |
rdhs API Client and Dataset Management for the Demographic and Health Survey (DHS) Data | 0.8.1 |
rdi Repertoire Dissimilarity Index | 1.0.0 |
Rdiagnosislist Manipulate SNOMED CT Diagnosis Lists | 1.3 |
rdian Client Library for The Guardian | 0.1.1 |
Rdice A Collection of Functions to Experiment Dice Rolls | 1.0.0 |
RDieHarder R Interface to the 'DieHarder' RNG Test Suite | 0.2.6 |
Rdimtools Dimension Reduction and Estimation Methods | 1.1.2 |
Rdisop | 1.66.0 |
rdist Calculate Pairwise Distances | 0.0.5 |
Rdistance Distance-Sampling Analyses for Density and Abundance Estimation | 3.0.0 |
rdiversity Measurement and Partitioning of Similarity-Sensitive Biodiversity | 2.2.0 |
rdlocrand Local Randomization Methods for RD Designs | 1.0 |
RDM Quantify Dependence using Rearranged Dependence Measures | 0.1.1 |
RDML Importing Real-Time Thermo Cycler (qPCR) Data from RDML Format Files | 1.0 |
rdmulti Analysis of RD Designs with Multiple Cutoffs or Scores | 1.1 |
rDNAse Generating Various Numerical Representation Schemes of DNA Sequences | 1.1-1 |
rdnb R Interface to the 'Deutsche Nationalbibliothek (German National Library) API' | 0.1-5 |
RDnp Robust Test for Complete Independence in High-Dimensions | 1.3 |
rdomains Get the Category of Content Hosted by a Domain | 0.2.1 |
RDota2 An R Steam API Client for Valve's Dota2 | 0.1.6 |
rdoxygen Create Doxygen Documentation for Source Code | 1.0.0 |
RDP The Ramer-Douglas-Peucker Algorithm | 0.3.0 |
Rdpack Update and Manipulate Rd Documentation Objects | 2.6.2 |
rdpower Power Calculations for RD Designs | 2.2 |
rdracor Access to the 'DraCor' API | 1.0.4 |
rdrobust Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs | 2.2 |
Rdrw Univariate and Multivariate Damped Random Walk Processes | 1.0.2 |
rdryad Access for Dryad Web Services | 1.0.0 |
RDS Respondent-Driven Sampling | 0.9-10 |
Rdsdp R Interface to DSDP Semidefinite Programming Library | 1.0.5.2.1 |
rdss Companion Datasets and Functions for Research Design in the Social Sciences | 1.0.12 |
RDSsamplesize RDS Sample Size Estimation and Power Calculation | 0.5.0 |
RDStreeboot RDS Tree Bootstrap Method | 1.0 |
Rdta Data Transforming Augmentation for Linear Mixed Models | 1.0.1 |
rdtLite Provenance Collector | 1.4 |
Rduino A Microcontroller Interface | 0.1 |
Rduinoiot 'Arduino Iot Cloud API' R Client | 0.1.0 |
Rdune 'Creates Color Palettes Inspired by Dune' | 1.1.1 |
rdwd Select and Download Climate Data from 'DWD' (German Weather Service) | 1.8.0 |
rdwplus An Implementation of IDW-PLUS | 1.0.0 |
re 'Python' Style Regular Expression Functions | 0.1.0 |
re2 R Interface to Google RE2 (C++) Regular Expression Library | 0.1.3 |
react Reactivity Helper for 'shiny' | 2024.1.0 |
reactable Interactive Data Tables for R | 0.4.4 |
reactable.extras Extra Features for 'reactable' Package | 0.2.1 |
reactablefmtr Streamlined Table Styling and Formatting for Reactable | 2.0.0 |
reactCheckbox Checkbox Group Input for 'Shiny' | 1.0.0 |
reactlog Reactivity Visualizer for 'shiny' | 1.1.1 |
reactome.db | 1.89.0 |
reactR React Helpers | 0.6.1 |
ReacTran Reactive Transport Modelling in 1d, 2d and 3d | 1.4.3.1 |
ReAD Powerful Replicability Analysis of Genome-Wide Association Studies | 1.0.1 |
read.dbc Read Data Stored in DBC (Compressed DBF) Files | 1.0.7 |
read.gb Open GenBank Files | 2.2 |
read.gt3x Parse 'ActiGraph' 'GT3X'/'GT3X+' 'Accelerometer' Data | 1.2.0 |
readABF Loads Axon Binary Files | 1.0.2 |
readabs Download and Tidy Time Series Data from the Australian Bureau of Statistics | 0.4.16 |
readbitmap Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG,TIFF) | 0.1.5 |
readBrukerFlexData Reads Mass Spectrometry Data in Bruker *flex Format | 1.9.3 |
readbulk Read and Combine Multiple Data Files | 1.1.4 |
ReadDIM Read ESA SNAP Processed Raster Format in R | 0.2.11 |
reader Suite of Functions to Flexibly Read Data from Files | 1.0.6 |
readHAC Read Acoustic HAC Format | 1.0 |
readit Effortlessly Read Any Rectangular Data | 1.0.0 |
readJDX Import Data in the JCAMP-DX Format | 0.6.4 |
readMDTable Read Markdown Tables into Tibbles | 0.2.0 |
readme2vignette Convert README to Vignette During Package Installation | 0.1.0 |
readmet Read some less Popular Formats Used in Meteorology | 1.7.1 |
readmission Hospital Readmission Data for Patients with Diabetes | 0.1.0 |
readMLData Reading Machine Learning Benchmark Data Sets in Different Formats | 0.9-7 |
readmoRe Utilities for Importing and Manipulating Biomedical Data Files | 0.2-12 |
readMzXmlData Reads Mass Spectrometry Data in mzXML Format | 2.8.3 |
readNSx Read 'Blackrock-Microsystems' Files ('NEV', 'NSx') | 0.0.5 |
readobj Fast Reader for 'Wavefront' OBJ 3D Scene Files | 0.4.1 |
readODS Read and Write ODS Files | 2.3.1 |
readOffice Read Text Out of Modern Office Files | 0.2.2 |
readr Read Rectangular Text Data | 2.1.5 |
readrba Download and Tidy Data from the Reserve Bank of Australia | 0.1.11 |
readroper Simply Read ASCII Single and Multicard Polling Datasets | 0.9.3 |
readsdmx Read SDMX-XML Data | 0.3.1 |
readsdr Translate Models from System Dynamics Software into 'R' | 0.3.0 |
readsparse Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats | 0.1.5-6 |
readstata13 Import 'Stata' Data Files | 0.10.1 |
readtext Import and Handling for Plain and Formatted Text Files | 0.91 |
readtextgrid Read in a 'Praat' 'TextGrid' File | 0.1.2 |
readwritesqlite Enhanced Reading and Writing for 'SQLite' Databases | 0.2.0 |
readxl Read Excel Files | 1.4.3 |
readxlsb Read 'Excel' Binary (.xlsb) Workbooks | 0.1.61 |
ready4 Develop and Use Modular Health Economic Models | 0.1.18 |
realtest Where Expectations Meet Reality: Realistic Unit Testing | 0.2.3 |
realTimeloads Analyte Flux and Load from Estimates of Concentration and Discharge | 1.0.0 |
RealVAMS Multivariate VAM Fitting | 0.4-6 |
ream Density, Distribution, and Sampling Functions for Evidence Accumulation Models | 1.0-5 |
reappraised Statistical Tools for Assessing Publication Integrity of Groups of Trials | 0.1.1 |
Rearrangement Monotonize Point and Interval Functional Estimates by Rearrangement | 2.1 |
rearrr Rearranging Data | 0.3.4 |
reasonabletools Clean Water Quality Data for NPDES Reasonable Potential Analyses | 0.1 |
REAT Regional Economic Analysis Toolbox | 3.0.3 |
REBayes Empirical Bayes Estimation and Inference | 2.56 |
rebib Convert and Aggregate Bibliographies | 0.5.0 |
rebird R Client for the eBird Database of Bird Observations | 1.3.0 |
rebmix Finite Mixture Modeling, Clustering & Classification | 2.16.0 |
rebus Build Regular Expressions in a Human Readable Way | 0.1-3 |
rebus.base Core Functionality for the 'rebus' Package | 0.0-3 |
rebus.datetimes Date and Time Extensions for the 'rebus' Package | 0.0-2 |
rebus.numbers Numeric Extensions for the 'rebus' Package | 0.0-1 |
rebus.unicode Unicode Extensions for the 'rebus' Package | 0.0-2 |
RECA Relevant Component Analysis for Supervised Distance Metric Learning | 1.7 |
recalibratiNN Quantile Recalibration for Regression Models | 0.3.0 |
recapr Two Event Mark-Recapture Experiment | 0.4.4 |
RecAssoRules Recursive Mining for Frequent Pattern and Confident Association Rules | 1.0 |
receptiviti Text Analysis Through the 'Receptiviti' API | 0.1.8 |
recexcavAAR 3D Reconstruction of Archaeological Excavations | 0.3.0 |
recforest Random Survival Forest for Recurrent Events | 1.0.0 |
rechaRge HydroBudget – Groundwater Recharge Model | 1.0.0 |
rechonest R Interface to Echo Nest API | 1.2 |
recipes Preprocessing and Feature Engineering Steps for Modeling | 1.1.0 |
reclin2 Record Linkage Toolkit | 0.5.0 |
recluster Ordination Methods for the Analysis of Beta-Diversity Indices | 2.9 |
recmap Compute the Rectangular Statistical Cartogram | 1.0.17 |
recmetrics Psychometric Evaluation Using Relative Excess Correlations | 0.1.0 |
Recocrop Estimating Environmental Suitability for Plants | 0.4-1 |
recodeflow Interface Functions for PMML Creation, and Data Recoding | 0.1.0 |
recogito Interactive Annotation of Text and Images | 0.2.1 |
recolorize Color-Based Image Segmentation | 0.1.0 |
recombinator Recombinate Nested Lists to Dataframes | 1.0.1 |
recometrics Evaluation Metrics for Implicit-Feedback Recommender Systems | 0.1.6-3 |
recommenderlab Lab for Developing and Testing Recommender Algorithms | 1.0.6 |
recommenderlabBX Book-Crossing Dataset (BX) for 'recommenderlab' | 0.2-0 |
recommenderlabJester Jester Dataset for 'recommenderlab' | 0.2-0 |
Recon Computational Tools for Economics | 0.3.0.0 |
reconstructKM Reconstruct Individual-Level Data from Published KM Plots | 0.3.0 |
reconstructr Session Reconstruction and Analysis | 2.0.4 |
recorder Toolkit to Validate New Data for a Predictive Model | 0.8.2 |
RecordLinkage Record Linkage Functions for Linking and Deduplicating Data Sets | 0.4-12.4 |
Records Record Values and Record Times | 1.0 |
RecordTest Inference Tools in Time Series Based on Record Statistics | 2.2.0 |
recosystem Recommender System using Matrix Factorization | 0.5.1 |
rectpacker Rectangle Packing | 1.0.0 |
recurrentpseudo Creates Pseudo-Observations and Analysis for Recurrent Event Data | 1.0.0 |
recurse Computes Revisitation Metrics for Trajectory Data | 1.4.0 |
red IUCN Redlisting Tools | 1.6.1 |
reda Recurrent Event Data Analysis | 0.5.4 |
ReDaMoR Relational Data Modeler | 0.7.6 |
REdaS Companion Package to the Book 'R: Einführung durch angewandte Statistik' | 0.9.4 |
redatam Import 'REDATAM' Files | 2.0.4 |
redatamx R Interface to 'Redatam' Library | 1.0.1 |
redbookperu Access and Analyze Data from the Red Book of Endemic Plants of Peru | 0.0.3 |
redcapAPI Interface to 'REDCap' | 2.10.0 |
REDCapCAST REDCap Metadata Casting and Castellated Data Handling | 24.12.1 |
REDCapDM 'REDCap' Data Management | 0.9.9 |
REDCapExporter Automated Construction of R Data Packages from REDCap Projects | 0.3.1 |
REDCapR Interaction Between R and REDCap | 1.3.0 |
REDCapTidieR Extract 'REDCap' Databases into Tidy 'Tibble's | 1.2.1 |
redcas An Interface to the Computer Algebra System 'REDUCE' | 0.1.1 |
redditadsR Get Reddit Ads Data via the 'Windsor.ai' API | 0.1.0 |
RedditExtractoR Reddit Data Extraction Toolkit | 3.0.9 |
reddPrec Reconstruction of Daily Data - Precipitation | 2.0.3 |
REddyProc Post Processing of (Half-)Hourly Eddy-Covariance Measurements | 1.3.3 |
REddyProcNCDF Reading Data from NetCDF Files for 'REddyProc' | 1.1.4 |
RedeR | 3.2.0 |
REDI Robust Exponential Decreasing Index | 1.0.0 |
ReDirection Predict Dominant Direction of Reactions of a Biochemical Network | 1.0.1 |
RedisBaseContainer The Container for the DockerParallel Package | 1.0.1 |
Rediscover Identify Mutually Exclusive Mutations | 0.3.2 |
redist Simulation Methods for Legislative Redistricting | 4.2.0 |
redistmetrics Redistricting Metrics | 1.0.7 |
redistverse Easily Install and Load Redistricting Software | 0.1.0 |
redland RDF Library Bindings in R | 1.0.17-18 |
redlistr Tools for the IUCN Red List of Ecosystems and Species | 1.0.4 |
rEDM Empirical Dynamic Modeling ('EDM') | 1.15.4 |
Redmonder Microsoft(r)-Inspired Color Palettes | 0.2.0 |
redoc Generates 'Redoc' Documentation from an 'OpenAPI' Specification | 2.0.0.75 |
redux R Bindings to 'hiredis' | 1.1.4 |
REEMtree Regression Trees with Random Effects for Longitudinal (Panel) Data | 0.90.5 |
ref.ICAR Objective Bayes Intrinsic Conditional Autoregressive Model for Areal Data | 2.0.1 |
REFA Robust Exponential Factor Analysis | 0.1.0 |
RefBasedMI Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation | 0.2.0 |
refdb A DNA Reference Library Manager | 0.1.1 |
refer Create Object References | 0.1.0 |
referenceIntervals Reference Intervals | 1.3.1 |
REffectivePred Pandemic Prediction Model in an SIRS Framework | 1.0.1 |
refineR Reference Interval Estimation using Real-World Data | 1.6.2 |
refinr Cluster and Merge Similar Values Within a Character Vector | 0.3.3 |
refitME Measurement Error Modelling using MCEM | 1.2.2 |
reflectR Automatic Scoring of the Cognitive Reflection Test | 2.1.3 |
reflimR Reference Limit Estimation Using Routine Laboratory Data | 1.0.6 |
RefManageR Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management | 1.4.0 |
reformulas Machinery for Processing Random Effect Formulas | 0.4.0 |
refreg Conditional Multivariate Reference Regions | 0.1.1 |
refreshr Work with Refreshable Datasets that Update their Data Automatically | 0.1.0 |
refseqR Common Computational Operations Working with RefSeq Entries (GenBank) | 1.1.5 |
refset Subsets with Reference Semantics | 0.1.1 |
refuge Locate Trans and Intersex-Friendly Toilets | 0.3.3 |
refugees UNHCR Refugee Population Statistics Database | 2024.6.0 |
refund Regression with Functional Data | 0.1-37 |
refund.shiny Interactive Plotting for Functional Data Analyses | 1.0 |
RegAssure Streamlined Integration of Regression Assumption | 1.0.0 |
regclass Tools for an Introductory Class in Regression and Modeling | 1.6 |
RegCombin Partially Linear Regression under Data Combination | 0.4.1 |
regda Regularised Discriminant Analysis | 1.0 |
RegDDM Generalized Linear Regression with DDM | 1.0 |
regDIF Regularized Differential Item Functioning | 1.1.1 |
REGENT Risk Estimation for Genetic and Environmental Traits | 1.0.6 |
regexPipes Wrappers Around 'base::grep()' for Use with Pipes | 0.0.1 |
regexSelect Regular Expressions in 'shiny' Select Lists | 1.0.0 |
reghelper Helper Functions for Regression Analysis | 1.1.2 |
regional Intra- and Inter-Regional Similarity | 0.4.4 |
regioncode Convert Region Names and Division Codes of China Over Years | 0.1.2 |
regions Processing Regional Statistics | 0.1.8 |
registr Curve Registration for Exponential Family Functional Data | 2.1.0 |
registry Infrastructure for R Package Registries | 0.5-1 |
RegKink Regression Kink with a Time-Varying Threshold | 0.1.0 |
reglogit Simulation-Based Regularized Logistic Regression | 1.2-7 |
regmed Regularized Mediation Analysis | 2.1.0 |
regmedint Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms | 1.0.1 |
regmhmm 'regmhmm' Fits Hidden Markov Models with Regularization | 1.0.0 |
regMMD Robust Regression and Estimation Through Maximum Mean Discrepancy Minimization | 0.0.1 |
regnet Network-Based Regularization for Generalized Linear Models | 1.0.1 |
rego Automatic Time Series Forecasting and Missing Value Imputation | 1.6.1 |
regplot Enhanced Regression Nomogram Plot | 1.1 |
regport Regression Model Processing Port | 0.3.0 |
regr.easy Easy Linear, Quadratic and Cubic Regression Models | 1.0.2 |
regrap Reverse Graphical Approaches | 1.0.1 |
RegrCoeffsExplorer Efficient Visualization of Regression Coefficients for lm(), glm(), and glmnet() Objects | 1.1.0 |
regreplaceR Match and Replace Strings Based on Named Groups in Regular Expressions | 0.1.0 |
regress Gaussian Linear Models with Linear Covariance Structure | 1.3-21 |
regressinator Simulate and Diagnose (Generalized) Linear Models | 0.2.0 |
RegressionFactory Expander Functions for Generating Full Gradient and Hessian from Single-Slot and Multi-Slot Base Distributions | 0.7.4 |
regressoR Regression Data Analysis System | 4.0.3 |
regrrr Toolkit for Compiling, (Post-Hoc) Testing, and Plotting Regression Results | 0.1.3 |
regRSM Random Subspace Method (RSM) for Linear Regression | 0.5 |
RegSDC Information Preserving Regression-Based Tools for Statistical Disclosure Control | 0.7.0 |
regsem Regularized Structural Equation Modeling | 1.9.5 |
regspec Non-Parametric Bayesian Spectrum Estimation for Multirate Data | 2.7 |
regsubseq Detect and Test Regular Sequences and Subsequences | 0.12 |
regtomean Regression Toward the Mean | 1.1 |
regtools Regression and Classification Tools | 1.7.0 |
rehh Searching for Footprints of Selection using 'Extended Haplotype Homozygosity' Based Tests | 3.2.2 |
rehh.data Data Only: Searching for Footprints of Selection using Haplotype Homozygosity Based Tests | 1.0.0 |
rehydratoR Downloads Tweets from a List of Tweet IDs | 0.5.2 |
ReinforcementLearning Model-Free Reinforcement Learning | 1.0.5 |
ReIns Functions from "Reinsurance: Actuarial and Statistical Aspects" | 1.0.15 |
reinstallr Search and Install Missing Packages | 0.1.5 |
reinsureR Reinsurance Treaties Application | 0.1.0 |
relaimpo Relative Importance of Regressors in Linear Models | 2.2-7 |
relatable Functions for Mapping Key-Value Pairs, Many-to-Many, One-to-Many, and Many-to-One Relations | 1.0.0 |
Relatedness Maximum Likelihood Estimation of Relatedness using EM Algorithm | 2.0 |
relations Data Structures and Algorithms for Relations | 0.6-14 |
relcircle Draw Regulatory Relationships Between Genes | 1.0 |
reldist Relative Distribution Methods | 1.7-2 |
RelDists Estimation for some Reliability Distributions | 1.0.0 |
Relectoral Electoral Analysis | 0.1.0 |
relevance Calculate Relevance and Significance Measures | 2.1 |
relevent Relational Event Models | 1.2-1 |
relgam Reluctant Generalized Additive Models | 1.0 |
reliabilitydiag Reliability Diagrams Using Isotonic Regression | 0.2.1 |
ReliabilityTheory Structural Reliability Analysis | 0.3.1 |
ReliaGrowR Reliability Growth Analysis | 0.1.3 |
relimp Relative Contribution of Effects in a Regression Model | 1.0-5 |
RelimpPCR Relative Importance PCA Regression | 0.3.0 |
relliptical The Truncated Elliptical Family of Distributions | 1.3.0 |
relMix Relationship Inference for DNA Mixtures | 1.4 |
relSim Relative Simulator | 1.0.0 |
relsurv Relative Survival | 2.2-9 |
rem Relational Event Models (REM) | 1.3.1 |
rema Rare Event Meta Analysis | 0.0.1 |
remaCor Random Effects Meta-Analysis for Correlated Test Statistics | 0.0.18 |
remap Regional Spatial Modeling with Continuous Borders | 0.3.1 |
rematch Match Regular Expressions with a Nicer 'API' | 2.0.0 |
rematch2 Tidy Output from Regular Expression Matching | 2.1.2 |
remedy 'RStudio' Addins to Simplify 'Markdown' Writing | 0.1.0 |
ReMFPCA Regularized Multivariate Functional Principal Component Analysis | 1.0.0 |
remify Processing and Transforming Relational Event History Data | 3.2.6 |
remindR Insert and Extract "Reminders" from Function Comments | 0.0.1 |
remiod Reference-Based Multiple Imputation for Ordinal/Binary Response | 1.0.2 |
REMLA Robust Expectation-Maximization Estimation for Latent Variable Models | 1.2.0 |
rEMM Extensible Markov Model for Modelling Temporal Relationships Between Clusters | 1.2.1 |
remmy API Client for 'Lemmy' | 0.1.0 |
remote Empirical Orthogonal Teleconnections in R | 1.2.1 |
remotePARTS Spatiotemporal Autoregression Analyses for Large Data Sets | 1.0.4 |
remotes R Package Installation from Remote Repositories, Including 'GitHub' | 2.5.0 |
rempsyc Convenience Functions for Psychology | 0.1.8 |
remss Refining Evaluation Methodology on Stage System | 1.0.1 |
remstats Computes Statistics for Relational Event History Data | 3.2.2 |
remstimate Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models | 2.3.11 |
REN Regularization Ensemble for Robust Portfolio Optimization | 0.1.0 |
rENA Epistemic Network Analysis | 0.2.7 |
REndo Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables | 2.4.10 |
Renext Renewal Method for Extreme Values Extrapolation | 3.1-4 |
renpow Renewable Power Systems and the Environment | 0.1-1 |
rentrez 'Entrez' in R | 1.2.3 |
renv Project Environments | 1.0.11 |
Renvlp Computing Envelope Estimators | 3.4.5 |
RenvModule Interface to Allow Full Use of the Environment Modules System for Unix | 1.1 |
renz R-Enzymology | 0.2.1 |
repairData Open Repair Alliance Datasets 2021 | 0.1.0 |
repana Repeatable Analysis in R | 2.2.0 |
RepaymentPlan Calculation of Mortgage Plan or Repayment Plan | 0.1.0 |
repeated Non-Normal Repeated Measurements Models | 1.1.10 |
RepeatedHighDim Methods for High-Dimensional Repeated Measures Data | 2.3.0 |
repec Access RePEc Data Through API | 0.1.0 |
repello Reports from Trello in R | 1.0.1 |
RepertoiR Repertoire Graphical Visualization | 0.0.1 |
repfdr Replicability Analysis for Multiple Studies of High Dimension | 1.2.3 |
replacer A Value Replacement Utility | 1.0.2 |
REPLesentR Presentations in the REPL | 0.4.1 |
Replicate Statistical Metrics for Multisite Replication Studies | 1.2.0 |
replicateBE Average Bioequivalence with Expanding Limits (ABEL) | 1.1.3 |
replicatedpp2w Two-Way ANOVA-Like Method to Analyze Replicated Point Patterns | 0.1-5 |
ReplicationSuccess Design and Analysis of Replication Studies | 1.3.3 |
Repliscope Replication Timing Profiling using DNA Copy Number | 1.1.1 |
repmis Miscellaneous Tools for Reproducible Research | 0.5 |
repmod Create Report Table from Different Objects | 0.1.7 |
repo A Data-Centered Data Flow Manager | 2.1.5 |
RepoGenerator Generates a Project and Repo for Easy Initialization of a Workshop | 0.0.1 |
repolr Repeated Measures Proportional Odds Logistic Regression | 3.4 |
report Automated Reporting of Results and Statistical Models | 0.5.9 |
reporter Creates Statistical Reports | 1.4.4 |
repoRter.nih R Interface to the 'NIH RePORTER Project' API | 0.1.4 |
ReporterScore Generalized Reporter Score-Based Enrichment Analysis for Omics Data | 0.1.9 |
reportfactory Lightweight Infrastructure for Handling Multiple R Markdown Documents | 0.4.0 |
reportr A General Message and Error Reporting System | 1.3.0 |
reportReg An Easy Way to Report Regression Analysis | 0.3.0 |
reportRmd Tidy Presentation of Clinical Reporting | 0.1.0 |
reportROC An Easy Way to Report ROC Analysis | 3.6 |
ReportSubtotal Adds Subtotals to Data Reports | 0.1.2 |
reporttools Generate "LaTeX"" Tables of Descriptive Statistics | 1.1.3 |
REPPlab R Interface to 'EPP-Lab', a Java Program for Exploratory Projection Pursuit | 0.9.6 |
REPPlabShiny 'REPPlab' via a Shiny Application | 0.4.2 |
repr Serializable Representations | 1.1.7 |
represent Determine How Representative Two Multidimensional Data Sets are | 1.0.1 |
representr Create Representative Records After Entity Resolution | 0.1.5 |
represtools Reproducible Research Tools | 0.1.3 |
reprex Prepare Reproducible Example Code via the Clipboard | 2.1.1 |
reproducer Reproduce Statistical Analyses and Meta-Analyses | 0.5.3 |
reproducible Enhance Reproducibility of R Code | 2.1.2 |
reproj Coordinate System Transformations for Generic Map Data | 0.7.0 |
repsd Root Expected Proportion Squared Difference for Detecting DIF | 1.0.1 |
REPTILE Regulatory DNA Element Prediction | 1.0 |
repurrrsive Examples of Recursive Lists and Nested or Split Data Frames | 1.1.0 |
reqres Powerful Classes for HTTP Requests and Responses | 0.2.5 |
REQS R/EQS Interface | 0.8-13 |
request High Level 'HTTP' Client | 0.1.0 |
Require Installing and Loading R Packages for Reproducible Workflows | 1.0.1 |
requiRements Helper Package to Install Packages for R | 0.0.3 |
requireR R Source Code Modularizer | 1.0.0.1 |
rerandPower Power and Sample Size Calculations for Completely Randomized and Rerandomized Experiments | 0.0.1 |
rerddap General Purpose Client for 'ERDDAP' Servers | 1.2.0 |
rerddapXtracto Extracts Environmental Data from 'ERDDAP™' Web Services | 1.2.1 |
reReg Recurrent Event Regression | 1.4.7 |
resample Resampling Functions | 0.6 |
resampledata Data Sets for Mathematical Statistics with Resampling in R | 0.3.2 |
resampledata3 Data Sets for "Mathematical Statistics with Resampling and R" (3rd Ed) | 1.0 |
resde Estimation in Reducible Stochastic Differential Equations | 1.1 |
ResearchAssociate Retrieving Publications from PubMed Database Based on User Query | 1.0.1 |
resemble Memory-Based Learning in Spectral Chemometrics | 2.2.3 |
reservoir Tools for Analysis, Design, and Operation of Water Supply Storages | 1.1.5 |
reservoirnet Reservoir Computing and Echo State Networks | 0.2.0 |
reservr Fit Distributions and Neural Networks to Censored and Truncated Data | 0.0.3 |
RESET Reconstruction Set Test | 1.0.0 |
resevol Simulate Agricultural Production and Evolution of Pesticide Resistance | 0.3.4.0 |
reshape Flexibly Reshape Data | 0.8.9 |
reshape2 Flexibly Reshape Data: A Reboot of the Reshape Package | 1.4.4 |
RESI Robust Effect Size Index (RESI) Estimation | 1.2.4 |
RESIDE Rapid Easy Synthesis to Inform Data Extraction | 0.3.2 |
ResidentialEnergyConsumption Residential Energy Consumption Data | 1.1.0 |
resilience Predictors of Resilience to a Stressor in a Single-Arm Study | 2024.1.2 |
ResIN Response Item Networks | 2.0.0 |
ResistorArray Electrical Properties of Resistor Networks | 1.0-32 |
reslife Calculate Mean Residual Life (MRL) and Related Values for Different Distributions | 0.2.1 |
reslr Modelling Relative Sea Level Data | 0.1.1 |
resmush Optimize and Compress Image Files with 'reSmush.it' | 0.2.0 |
resourcecode Access to the 'RESOURCECODE' Hindcast Database | 0.2.1 |
resourcer Resource Resolver | 1.4.0 |
ResourceSelection Resource Selection (Probability) Functions for Use-Availability Data | 0.3-6 |
ResPBIBD "Resolvable Partially Balanced Incomplete Block Designs (PBIBDs)" | 0.1.0 |
RespirAnalyzer Analysis Functions of Respiratory Data | 1.0.2 |
respirometry Tools for Conducting and Analyzing Respirometry Experiments | 2.0.1 |
responsePatterns Screening for Careless Responding Patterns | 0.1.1 |
respR Import, Process, Analyse, and Calculate Rates from Respirometry Data | 2.3.3 |
resquin Response Quality Indicators for Survey Research | 0.0.2 |
RESS Integrates R and Essentia | 1.3 |
restatapi Search and Retrieve Data from Eurostat Database | 0.23.2 |
restatis R Wrapper to Access a Wide Range of Germany's Federal Statistical System Databases Based on the GENESIS Web Service RESTful API of the German Federal Statistical Office (Statistisches Bundesamt/Destatis) | 0.2.0 |
restaurant Restaurant Data for Entity Resolution | 0.1.0 |
restez Create and Query a Local Copy of 'GenBank' in R | 2.1.4 |
restfulr R Interface to RESTful Web Services | 0.0.15 |
restimizeapi Functions for Working with the 'www.estimize.com' Web Services | 1.0.0 |
RESTK An Implementation of the RESTK Algorithm | 1.0.0 |
restoptr Ecological Restoration Planning | 1.0.6 |
RestoreNet Random-Effects Stochastic Reaction Networks | 1.0.1 |
restriktor Restricted Statistical Estimation and Inference for Linear Models | 0.5-90 |
RestRserve A Framework for Building HTTP API | 1.2.3 |
result Result Type for Safely Handling Operations that can Succeed or Fail | 0.1.0 |
resultant Utilities for Multivariate Polynomials with Rational Coefficients | 1.0.0 |
ResultModelManager Result Model Manager | 0.5.11 |
resumer Build Resumes with R | 0.0.5 |
ReSurv Machine Learning Models for Predicting Claim Counts | 1.0.0 |
retel Regularized Exponentially Tilted Empirical Likelihood | 0.1.0 |
rethinker RethinkDB Client | 1.1.0 |
rethnicity Predicting Ethnic Group from Names | 0.2.6 |
reticulate Interface to 'Python' | 1.40.0 |
retriever Generate Disease-Specific Response Signatures from the LINCS-L1000 Data | 0.2.1 |
retrodesign Tools for Type S (Sign) and Type M (Magnitude) Errors | 0.2.2 |
retroharmonize Ex Post Survey Data Harmonization | 0.2.0 |
retrosheet Import Professional Baseball Data from 'Retrosheet' | 1.1.6 |
retry Repeated Evaluation | 0.1.1 |
ReturnCurves Estimation of Return Curves | 1.0 |
reutils Talk to the NCBI EUtils | 0.2.3 |
reval Argument Table Generation for Sensitivity Analysis | 3.1-0 |
revdbayes Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis | 1.5.5 |
revealedPrefs Revealed Preferences and Microeconomic Rationality | 0.4.1 |
revealjs R Markdown Format for 'reveal.js' Presentations | 0.9 |
RevEcoR Reverse Ecology Analysis on Microbiome | 0.99.3 |
reveneraR Connect to Your 'Revenera' (Formerly 'Revulytics') Data | 0.1.2 |
revengc Reverse Engineering Summarized Data | 1.0.4 |
reverseR Linear Regression Stability to Significance Reversal | 0.2 |
revert Reversion Mutation Identifier for Sequencing Data | 0.0.1 |
RevGadgets Visualization and Post-Processing of 'RevBayes' Analyses | 1.2.1 |
revgeo Reverse Geocoding with the Photon Geocoder for OpenStreetMap, Google Maps, and Bing | 0.15 |
ReviewR A Light-Weight, Portable Tool for Reviewing Individual Patient Records | 2.3.10 |
revpref Tools for Computational Revealed Preference Analysis | 0.1.0 |
RevSD Visualizing the Standard Deviation via Revolution | 0.1.1 |
revss Robust Estimation in Very Small Samples | 2.0.0 |
Revticulate Interaction with "RevBayes" in R | 1.0.0 |
revtools Tools to Support Evidence Synthesis | 0.4.1 |
revulyticsR Connect to Your 'Revulytics' Data | 0.0.3 |
rewie Data Preparation and Diagnostics for Random Effects Within Estimator | 0.1.0 |
rex Friendly Regular Expressions | 1.2.1 |
rexer Random Exercises and Exams Generator | 1.0.0 |
Rexperigen R Interface to Experigen | 0.2.1 |
rexpokit R Wrappers for EXPOKIT; Other Matrix Functions | 0.26.6.14 |
rextendr Call Rust Code from R using the 'extendr' Crate | 0.3.1 |
Rfacebook Access to Facebook API via R | 0.6.15 |
rfacebookstat Load Data from Facebook API Marketing | 2.11.0 |
rfacts R Interface to 'FACTS' on Unix-Like Systems | 0.2.1 |
rfars Download and Analyze Crash Data | 1.2.0 |
Rfast A Collection of Efficient and Extremely Fast R Functions | 2.1.0 |
Rfast2 A Collection of Efficient and Extremely Fast R Functions II | 0.1.5.2 |
RFCCA Random Forest with Canonical Correlation Analysis | 2.0.0 |
RFclust Random Forest Cluster Analysis | 0.1.2 |
RfEmpImp Multiple Imputation using Chained Random Forests | 2.1.8 |
rFerns Random Ferns Classifier | 5.0.0 |
rfieldclimate Client for the 'FieldClimate' API | 0.1.1 |
rfigshare An R Interface to 'figshare' | 0.3.8 |
rfinterval Predictive Inference for Random Forests | 1.0.0 |
rfishbase R Interface to 'FishBase' | 5.0.0 |
RFishBC Back-Calculation of Fish Length | 0.2.7 |
rfishdraw Automatically Generated Fish Drawings via JavaScript | 0.1.0 |
rfisheries 'Programmatic Interface to the 'openfisheries.org' API' | 0.2 |
rfishnet2 Exploratory Data Analysis for FishNet2 Data | 0.2.0 |
Rfit Rank-Based Estimation for Linear Models | 0.27.0 |
rflashtext FlashText Algorithm for Finding and Replacing Words | 1.0.0 |
rflexscan The Flexible Spatial Scan Statistic | 1.1.0 |
RFlocalfdr Significance Level for Random Forest Impurity Importance Scores | 0.8.5 |
RFlocalfdr.data Data for the Vignette and Examples in 'RFlocalfdr' | 0.0.3 |
RFLPtools Tools to Analyse RFLP Data | 2.0 |
rflsgen Neutral Landscape Generator with Targets on Landscape Indices | 1.2.2 |
rfm Recency, Frequency and Monetary Value Analysis | 0.3.0 |
Rfmtool Fuzzy Measure Tools | 5.0.4 |
rfoaas R Interface to 'FOAAS' | 2.3.2 |
RFOC Graphics for Spherical Distributions and Earthquake Focal Mechanisms | 3.4-10 |
rfold Working with many R Folders Within an R Package | 0.2.0 |
Rfolding The Folding Test of Unimodality | 1.0 |
rfordummies Code Examples to Accompany the Book "R for Dummies" | 0.1.6 |
Rforestry Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability | 0.10.0 |
RFormatter R Source Code Formatter | 0.1.1 |
rfPermute Estimate Permutation p-Values for Random Forest Importance Metrics | 2.5.2 |
RFPM Floating Percentile Model | 1.1 |
RFpredInterval Prediction Intervals with Random Forests and Boosted Forests | 1.0.8 |
Rfractran A 'FRACTRAN' Interpreter and Some Helper Functions | 1.0.1 |
rFSA Feasible Solution Algorithm for Finding Best Subsets and Interactions | 0.9.6 |
Rfssa Functional Singular Spectrum Analysis | 3.1.0 |
rfVarImpOOB Unbiased Variable Importance for Random Forests | 1.0.3 |
rfvimptest Sequential Permutation Testing of Random Forest Variable Importance Measures | 0.1.3 |
rfviz Interactive Visualization Tool for Random Forests | 1.0.1 |
rgabriel Gabriel Multiple Comparison Test and Plot the Confidence Interval on Barplot | 0.9 |
RGAN Generative Adversarial Nets (GAN) in R | 0.1.1 |
RGAP Production Function Output Gap Estimation | 0.1.1 |
Rgb The R Genome Browser | 1.7.5 |
rgbif Interface to the Global Biodiversity Information Facility API | 3.8.1 |
RGBM LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction | 1.0-11 |
Rgbp Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data | 1.1.4 |
RGCCA Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data | 3.0.3 |
RGCxGC Preprocessing and Multivariate Analysis of Bidimensional Gas Chromatography Data | 1.2.0 |
rgdax Wrapper for 'Coinbase Pro (erstwhile GDAX)' Cryptocurrency Exchange | 1.2.1 |
RGE Response from Genotype to Environment | 1.0 |
rgee R Bindings for Calling the 'Earth Engine' API | 1.1.7 |
rgeedim Search, Composite, and Download 'Google Earth Engine' Imagery with the 'Python' Module 'geedim' | 0.2.7 |
rgen Random Sampling Distribution C++ Routines for Armadillo | 0.0.1 |
RGenData Generates Multivariate Nonnormal Data and Determines How Many Factors to Retain | 1.0 |
RGENERATE Tools to Generate Vector Time Series | 1.3.7 |
RGENERATEPREC Tools to Generate Daily-Precipitation Time Series | 1.2.9 |
RGenetics R packages for genetics research | 0.1 |
rgenius Get 'Genius' API Lyrics | 0.1.0 |
rgenoud R Version of GENetic Optimization Using Derivatives | 5.9-0.11 |
rgeoboundaries geoBoundaries Client | 1.3 |
rgeoda R Library for Spatial Data Analysis | 0.0.10-4 |
RGeode Geometric Density Estimation | 0.1.0 |
rgeomstats Interface to 'Geomstats' | 0.0.1 |
rgeopat2 Additional Functions for 'GeoPAT' 2 | 0.4.0 |
rgeos Interface to Geometry Engine - Open Source ('GEOS') | 0.6-4 |
rgexf Build, Import, and Export GEXF Graph Files | 0.16.3 |
RGF Regularized Greedy Forest | 1.1.1 |
Rgff R Utilities for GFF Files | 0.1.6 |
rGhanaCensus 2021 Ghana Population and Housing Census Results as Data Frames | 0.1.0 |
rgho Access WHO Global Health Observatory Data from R | 3.0.2 |
RGIFT Create Quizzes in GIFT Format | 0.1-7 |
rgl 3D Visualization Using OpenGL | 1.3.14 |
rgl.cry 'cry' and 'rgl' — Applications in Crystallography | 0.1.1 |
rgl2gltf Read and Write '.gltf' and '.glb' Files | 1.0.7 |
rglobi Interface to Global Biotic Interactions | 0.3.4 |
Rglpk R/GNU Linear Programming Kit Interface | 0.6-5.1 |
rglplus Extension of the 'rgl' 3D Visualization Package | 1.3 |
rglwidget 'rgl' in 'htmlwidgets' Framework | 0.2.1 |
rgm Advanced Inference with Random Graphical Models | 1.0.4 |
RGMM Robust Mixture Model | 2.1.0 |
RGN Robust-Gauss Newton (RGN) Optimization of Sum-of-Squares Objective Function | 1.0.0 |
rgnoisefilt Elimination of Noisy Samples in Regression Datasets using Noise Filters | 1.1.2 |
rgnparser Parse Scientific Names | 0.3.0 |
Rgof 1d Goodness of Fit Tests | 2.1.1 |
rgoogleads Loading Data from 'Google Ads API' | 0.11.0 |
RGoogleAnalyticsPremium Unsampled Data in R for Google Analytics Premium Accounts | 0.1.1 |
rgoogleclassroom API Wrapper for Google Classroom and Google Forms | 0.9.1 |
RGoogleFit R Interface to Google Fit API | 0.4.0 |
RgoogleMaps Overlays on Static Maps | 1.5.1 |
rgoogleslides R Interface to Google Slides | 0.3.2 |
rgplates R Interface for the GPlates Web Service and Desktop Application | 0.5.0 |
rgraph6 Representing Graphs as 'graph6', 'digraph6' or 'sparse6' Strings | 2.0-4 |
RGraphics Data and Functions from the Book R Graphics, Third Edition | 3.0-2 |
RGraphSpace A Lightweight Interface Between 'ggplot2' and 'igraph' Objects | 1.0.7 |
Rgraphviz Provides plotting capabilities for R graph objects | 2.50.0 |
rgrass Interface Between 'GRASS' Geographical Information System and 'R' | 0.4-4 |
RGreenplum Interface to 'Greenplum' Database | 0.1.2 |
RGremlinsConjoint Estimate the "Gremlins in the Data" Model for Conjoint Studies | 0.9.1 |
rGroovy Groovy Language Integration | 1.3 |
rgsp Repetitive Group Sampling Plan Based on Cpk | 0.2.0 |
rgTest Robust Graph-Based Two-Sample Test | 0.1 |
rgtmx Manage GTmetrix Tests in R | 0.1.4 |
rgugik Search and Retrieve Spatial Data from 'GUGiK' | 0.4.1 |
rGV Analysis of Continuous Glucose Monitor Data | 0.0.4 |
rgw Goodman-Weare Affine-Invariant Sampling | 0.3.0 |
RH2 DBI/RJDBC Interface to H2 Database | 0.2.4 |
rhandsontable Interface to the 'Handsontable.js' Library | 0.3.8 |
RHawkes Renewal Hawkes Process | 1.0 |
RHclust Vector in Partition | 2.0.0 |
rhcoclust Robust Hierarchical Co-Clustering to Identify Significant Co-Cluster | 2.0.0 |
rhdf5 | 2.50.0 |
rhdf5filters | 1.18.0 |
Rhdf5lib | 1.28.0 |
rheroicons A Zero Dependency 'SVG' Icon Library for 'Shiny' | 1.0.0 |
rhierbaps Clustering Genetic Sequence Data Using the HierBAPS Algorithm | 1.1.4 |
rhino A Framework for Enterprise Shiny Applications | 1.10.1 |
rhmc Hamiltonian Monte Carlo | 1.0.0 |
RHMS Hydrologic Modelling System for R Users | 1.7 |
rhnerm Random Heteroscedastic Nested Error Regression | 1.1 |
rhoneycomb Analysis of Honeycomb Selection Designs | 2.3.4 |
rhoR Rho for Inter Rater Reliability | 1.3.0.3 |
rhosa Higher-Order Spectral Analysis | 0.3.0 |
rhosp Side Effect Risks in Hospital : Simulation and Estimation | 1.10 |
RHPCBenchmark Benchmarks for High-Performance Computing Environments | 0.1.0 |
RhpcBLASctl Control the Number of Threads on 'BLAS' | 0.23-42 |
RHRT Heart Rate Turbulence Analysis | 1.0.1 |
RHRV Heart Rate Variability Analysis of ECG Data | 5.0.0 |
RHSDB Ryan-Holm Step-Down Bonferroni or Sidak Procedure | 0.2.0 |
Rhtslib | 3.2.0 |
rhub Tools for R Package Developers | 2.0.0 |
RHybridFinder Identification of Hybrid Peptides in Immunopeptidomic Analyses | 0.2.0 |
rhymer Wrapper for the 'Datamuse' API to Find Rhyming and Associated Words | 1.2.0 |
rhype Work with Hypergraphs in R | 0.3.0 |
ri2 Randomization Inference for Randomized Experiments | 0.4.0 |
RI2by2 Randomization Inference for Treatment Effects on a Binary Outcome | 1.4 |
RIA Radiomics Image Analysis Toolbox for Medial Images | 1.7.2 |
riAFTBART A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes | 0.3.3 |
rib An Implementation of 'Interactive Brokers' API | 0.23.1 |
ribd Pedigree-based Relatedness Coefficients | 1.7.0 |
RIbench Benchmark Suite for Indirect Methods for RI Estimation | 1.0.2 |
rice Radiocarbon Equations | 0.4.0 |
ricegeneann Gene Annotation of Rice (Oryza Sativa L.spp.japonica) | 1.0.2 |
riceidconverter Convert Biological ID from RAP or MSU to SYMBOL for Oryza Sativa | 1.1.1 |
riceware A Diceware Passphrase Implementation | 0.4 |
Ricrt Randomization Inference of Clustered Randomized Trials | 0.1.0 |
ricu Intensive Care Unit Data with R | 0.5.6 |
rid Multiple Change-Point Detection in Multivariate Time Series | 0.0.1 |
RIdeogram Drawing SVG Graphics to Visualize and Map Genome-Wide Data on Idiograms | 0.2.2 |
ridge Ridge Regression with Automatic Selection of the Penalty Parameter | 3.3 |
ridgetorus PCA on the Torus via Density Ridges | 1.0.2 |
ridgregextra Ridge Regression Parameter Estimation | 0.1.1 |
ridigbio Interface to the iDigBio Data API | 0.4.1 |
ridittools Useful Functions for Ridit Analysis | 0.1 |
riem Accesses Weather Data from the Iowa Environment Mesonet | 0.3.2 |
Riemann Learning with Data on Riemannian Manifolds | 0.1.4 |
RiemBase Functions and C++ Header Files for Computation on Manifolds | 0.2.5 |
Riex IEX Stocks and Market Data | 1.0.2 |
rifle Sparse Generalized Eigenvalue Problem | 1.0 |
rifreg Estimate Recentered Influence Function Regression | 0.1.0 |
RIFS Random Iterated Function System | 0.1.6 |
Rigma Access to the 'Figma' API | 0.2.1 |
rigr Regression, Inference, and General Data Analysis Tools in R | 1.0.4 |
riingo An R Interface to the 'Tiingo' Stock Price API | 0.3.1 |
Rilostat ILO Open Data via Ilostat Bulk Download Facility | 2.2.0 |
rim Interface to 'Maxima', Enabling Symbolic Computation | 0.7.0 |
RImageJROI Read and Write 'ImageJ' Region of Interest (ROI) Files | 0.1.3 |
RImagePalette Extract the Colors from Images | 0.1.1 |
RImpact Calculates Measures of Scholarly Impact | 1.0 |
rimu Responses in Multiplex | 0.6 |
rinat Access 'iNaturalist' Data Through APIs | 0.1.9 |
rineq Concentration Index and Decomposition for Health Inequalities | 0.2.3 |
ring Circular / Ring Buffers | 1.0.6 |
ringostat Load Data from 'Ringostat API' | 0.1.5 |
RInside C++ Classes to Embed R in C++ (and C) Applications | 0.2.18 |
RInSp R Individual Specialization | 1.2.5 |
rintcal Radiocarbon Calibration Curves | 1.1.0 |
rIntervalTree An Interval Tree Tool for Real Numbers | 0.1.0 |
rintimg View Images on Full Screen in 'RMarkdown' Documents and 'shiny' Applications | 0.1.0 |
rintrojs Wrapper for the 'Intro.js' Library | 0.3.4 |
rio A Swiss-Army Knife for Data I/O | 1.2.3 |
rioja Analysis of Quaternary Science Data | 1.0-7 |
rioplot Turn a Regression Model Inside Out | 1.1.1 |
ripc Download and Tidy IPC and CH Data | 0.3.1 |
ripserr Calculate Persistent Homology with Ripser-Based Engines | 0.1.1 |
rirods R Client for 'iRODS' | 0.2.0 |
Rirt Data Analysis and Parameter Estimation Using Item Response Theory | 0.0.2 |
RISCA Causal Inference and Prediction in Cohort-Based Analyses | 1.0.5 |
rise Conduct RISE Analysis | 1.0.4 |
rIsing High-Dimensional Ising Model Selection | 0.1.0 |
Risk Computes 26 Financial Risk Measures for Any Continuous Distribution | 1.0 |
riskclustr Functions to Study Etiologic Heterogeneity | 0.4.1 |
riskCommunicator G-Computation to Estimate Interpretable Epidemiological Effects | 1.0.1 |
RiskMap Geo-Statistical Modeling of Spatially Referenced Data | 0.1.0 |
riskmetric Risk Metrics to Evaluating R Packages | 0.2.4 |
riskParityPortfolio Design of Risk Parity Portfolios | 0.2.2 |
RiskPortfolios Computation of Risk-Based Portfolios | 2.1.7 |
riskPredictClustData Assessing Risk Predictions for Clustered Data | 0.2.6 |
riskRegression Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks | 2023.12.21 |
risks Estimate Risk Ratios and Risk Differences using Regression | 0.4.2 |
riskscores Optimized Integer Risk Score Models | 1.1.1 |
RiskScorescvd Cardiovascular Risk Scores Calculator | 0.2.0 |
risksetROC Riskset ROC Curve Estimation from Censored Survival Data | 1.0.4.1 |
riskSimul Risk Quantification for Stock Portfolios under the T-Copula Model | 0.1.2 |
riskyr Rendering Risk Literacy more Transparent | 0.4.0 |
RISmed Download Content from NCBI Databases | 2.3.0 |
Rita Automated Transformations, Normality Testing, and Reporting | 1.2.0 |
Ritc Isothermal Titration Calorimetry (ITC) Data Analysis | 1.0.2 |
RITCH R Parser for the ITCH-Protocol | 0.1.26 |
ritis Integrated Taxonomic Information System Client | 1.0.0 |
RItools Randomization Inference Tools | 0.3-4 |
riv Robust Instrumental Variables Estimator | 2.0-5 |
RiverBuilder River Generation for Given Data Sets | 0.1.1 |
riverconn Fragmentation and Connectivity Indices for Riverscapes | 0.3.31 |
riverdist River Network Distance Computation and Applications | 0.17.1 |
rivernet Read, Analyze and Plot River Networks | 1.2.3 |
Rivivc In Vitro in Vivo Correlation Linear Level "A" | 0.9.1 |
rivnet Extract and Analyze Rivers from Elevation Data | 0.5.0 |
rivr Steady and Unsteady Open-Channel Flow Computation | 1.2-3 |
RivRetrieve Retrieve Global River Gauge Data | 0.1.5 |
rix Reproducible Data Science Environments with 'Nix' | 0.12.4 |
rjade A Clean, Whitespace-Sensitive Template Language for Writing HTML | 0.1.1 |
rjaf Regularized Joint Assignment Forest with Treatment Arm Clustering | 0.1.1 |
RJafroc Artificial Intelligence Systems and Observer Performance | 2.1.2 |
rjags Bayesian Graphical Models using MCMC | 4-15 |
RJalaliDate Handling Jalali Date (Persian / Solar Hijri) | 0.1.0 |
rJava Low-Level R to Java Interface | 1.0-11 |
rJavaEnv 'Java' Environments for R Projects | 0.2.2 |
RJcluster A Fast Clustering Algorithm for High Dimensional Data Based on the Gram Matrix Decomposition | 3.2.4 |
RJDBC Provides Access to Databases Through the JDBC Interface | 0.2-10 |
RJDemetra Interface to 'JDemetra+' Seasonal Adjustment Software | 0.2.8 |
rjdmarkdown 'rmarkdown' Extension for Formatted 'RJDemetra' Outputs | 0.2.2 |
rjdqa Quality Assessment for Seasonal Adjustment | 0.1.5 |
rjdworkspace Manipulate 'JDemetra+' Workspaces | 1.1.7 |
rje Miscellaneous Useful Functions for Statistics | 1.12.1 |
rjmcmc Reversible-Jump MCMC Using Post-Processing | 0.4.5 |
rjqpd The Johnson Quantile-Parameterised Distribution | 0.2.3 |
RJSDMX R Interface to SDMX Web Services | 3.5-0 |
rjson JSON for R | 0.2.23 |
rjsoncons Query, Pivot, Patch, and Validate 'JSON' and 'NDJSON' | 1.3.1 |
RJSONIO Serialize R Objects to JSON, JavaScript Object Notation | 1.3-1.9 |
RJSplot Interactive Graphs with R | 2.7 |
rjstat Handle 'JSON-stat' Format in R | 0.4.3 |
rjtools Preparing, Checking, and Submitting Articles to the 'R Journal' | 1.0.13 |
rjwsacruncher Interface to the 'JWSACruncher' of 'JDemetra+' | 0.2.0 |
rkafkajars External Jars Required for Package 'rkafka' | 1.2 |
RKEA R/KEA Interface | 0.0-6 |
RKEAjars R/KEA Interface Jars | 5.0-4 |
RKEEL Using 'KEEL' in R Code | 1.3.4 |
RKEELdata Datasets from 'KEEL' for it Use in 'RKEEL' | 1.0.5 |
RKelly Translate Odds and Probabilities | 1.0 |
rKenyaForex Historical Data for Kenya Foreign Exchange Prices | 0.1.0 |
RKHSMetaMod Ridge Group Sparse Optimization Problem for Estimation of a Meta Model Based on Reproducing Kernel Hilbert Spaces | 1.1 |
rKIN (Kernel) Isotope Niche Estimation | 1.0.2 |
RkMetrics Hybrid Mortality Estimation | 1.3 |
rKolada Access Data from the 'Kolada' Database | 0.2.3 |
rKOMICS Minicircle Sequence Classes (MSC) Analyses | 1.3 |
RKorAPClient 'KorAP' Web Service Client Package | 0.8.1 |
rkriging Kriging Modeling | 1.0.1 |
rkt Mann-Kendall Test, Seasonal and Regional Kendall Tests | 1.7 |
RKUM Robust Kernel Unsupervised Methods | 0.1.1.1 |
rkvo Read Key/Value Pair Observations | 0.1 |
Rlab Functions and Datasets Required for ST370 Class | 4.0 |
Rlabkey Data Exchange Between R and 'LabKey' Server | 3.4.1 |
rLakeAnalyzer Lake Physics Tools | 1.11.4.1 |
rlandfire Interface to 'LANDFIRE Product Service' API | 1.0.0 |
rlang Functions for Base Types and Core R and 'Tidyverse' Features | 1.1.4 |
rlas Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data | 1.8.0 |
rlc Create Interactive Linked Charts with Minimal Code | 0.5.0 |
rlcv Robust Likelihood Cross Validation Bandwidth Selection | 1.0.0 |
rLDCP Text Generation from Data | 1.0.2 |
rle Common Functions for Run-Length Encoded Vectors | 0.9.2 |
RLeafAngle Estimates, Plots and Evaluates Leaf Angle Distribution Functions, Calculates Extinction Coefficients | 1.0 |
rleafmap Interactive Maps with R and Leaflet | 0.2.1 |
rlecuyer R Interface to RNG with Multiple Streams | 0.3-8 |
rlemon R Access to LEMON Graph Algorithms | 0.2.1 |
rless Leaner Style Sheets | 0.1.1 |
rlfsm Simulations and Statistical Inference for Linear Fractional Stable Motions | 1.1.2 |
rLFT Processing Linear Features | 1.0.1 |
Rlgt Bayesian Exponential Smoothing Models with Trend Modifications | 0.2-2 |
Rlibeemd Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN) | 1.4.3 |
Rlibkdv A Versatile Kernel Density Visualization Library for Geospatial Analytics (Heatmap) | 1.1 |
rlibkriging Kriging Models using the 'libKriging' Library | 0.9-0.4 |
rliger Linked Inference of Genomic Experimental Relationships | 2.1.0 |
Rlinkedin Access to the LinkedIn API via R | 0.2 |
rlinkedinads Load Data from 'Linkedin Advertising API' | 0.2.0 |
Rlinsolve Iterative Solvers for (Sparse) Linear System of Equations | 0.3.2 |
rlist A Toolbox for Non-Tabular Data Manipulation | 0.4.6.2 |
rlistings Clinical Trial Style Data Readout Listings | 0.2.9 |
rllama Access and Analyze Data from 'DeFiLlama' | 0.4.4 |
rlmDataDriven Robust Regression with Data Driven Tuning Parameter | 0.4.0 |
rlme Rank-Based Estimation and Prediction in Random Effects Nested Models | 0.5 |
Rlof R Parallel Implementation of Local Outlier Factor(LOF) | 1.1.3 |
rlog A Simple, Opinionated Logging Utility | 0.1.0 |
RLogicalOps Process Logical Operations | 0.1 |
RLoptimal Optimal Adaptive Allocation Using Deep Reinforcement Learning | 1.1.1 |
RLRsim Exact (Restricted) Likelihood Ratio Tests for Mixed and Additive Models | 3.1-8 |
RLT Reinforcement Learning Trees | 3.2.6 |
rLTP R Interface to the 'LTP'-Cloud Service | 0.1.4 |
RLumCarlo Monte-Carlo Methods for Simulating Luminescence Phenomena | 0.1.9 |
RLumModel Solving Ordinary Differential Equations to Understand Luminescence | 0.2.10 |
RLumShiny 'Shiny' Applications for the R Package 'Luminescence' | 0.2.3 |
rly Tools to Create Formal Language Parser | 1.7.4 |
RM.weights Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood | 2.0 |
RM2006 RiskMetrics 2006 Methodology | 0.1.1 |
rma.exact Exact Confidence Intervals for Random Effects Meta-Analyses | 0.1.0 |
rmacrostrat Fetch Geologic Data from the 'Macrostrat' Platform | 1.0.0 |
RMaCzek Czekanowski's Diagrams | 1.6.0 |
rmake Makefile Generator for R Analytical Projects | 1.1.0 |
RMallow Fit Multi-Modal Mallows' Models to Ranking Data | 1.1 |
Rmalschains Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) | 0.2-10 |
rmapshaper Client for 'mapshaper' for 'Geospatial' Operations | 0.5.0 |
rmapzen Client for 'Mapzen' and Related Map APIs | 0.5.1 |
rmarchingcubes Calculate 3D Contour Meshes Using the Marching Cubes Algorithm | 0.1.3 |
rmargint Robust Marginal Integration Procedures | 2.0.3 |
RMariaDB Database Interface and MariaDB Driver | 1.3.3 |
RmarineHeatWaves Detect Marine Heat Waves and Marine Cold Spells | 0.17.0 |
RMark R Code for Mark Analysis | 3.0.0 |
rmarkdown Dynamic Documents for R | 2.29 |
rmass2 Repeated Measures with Attrition: Sample Sizes and Power Levels for 2 Groups | 0.0.0.2 |
RMAT Random Matrix Analysis Toolkit | 0.2.0 |
rmatio Read and Write 'Matlab' Files | 0.19.0 |
RMAWGEN Multi-Site Auto-Regressive Weather GENerator | 1.3.7 |
rmBayes Performing Bayesian Inference for Repeated-Measures Designs | 0.1.16 |
RMBC Robust Model Based Clustering | 0.1.0 |
RMCC Airborne LiDAR Filtering Method Based on Multiscale Curvature | 0.1.1 |
rmcfs The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery | 1.3.6 |
rmcorr Repeated Measures Correlation | 0.7.0 |
rmda Risk Model Decision Analysis | 1.6 |
RmdConcord Concordances for 'R Markdown' | 0.3 |
rmdfiltr 'Lua'-Filters for R Markdown | 0.1.5 |
rmdformats HTML Output Formats and Templates for 'rmarkdown' Documents | 1.0.4 |
rmdHelpers Helper Functions for Rmd Documents | 1.3.1 |
rmdl Language to Manage Many Models | 0.1.0 |
rmdpartials Partial 'rmarkdown' Documents to Prettify your Reports | 0.5.8 |
rmdplugr Plugins for R Markdown Formats | 0.4.1 |
rmdwc Count Words, Chars and Non-Whitespace Chars in R Markdown Docs | 0.3.0 |
rMEA Synchrony in Motion Energy Analysis (MEA) Time-Series | 1.2.2 |
RmecabKo An 'Rcpp' Interface for Eunjeon Project | 0.1.6.2 |
RMediation Mediation Analysis Confidence Intervals | 1.2.2 |
rmerec MEREC - Method Based on the Removal Effects of Criteria | 0.1.1 |
rmeta Meta-Analysis | 3.0 |
rmetalog The Metalog Distribution | 1.0.3 |
rmfanova Repeated Measures Functional Analysis of Variance | 0.1.0 |
RMFM Robust Matrix Factor Model | 1.1.0 |
rmgarch Multivariate GARCH Models | 1.3-9 |
rmi Mutual Information Estimators | 0.1.1 |
rMIDAS Multiple Imputation with Denoising Autoencoders | 1.0.0 |
rminer Data Mining Classification and Regression Methods | 1.4.8 |
rminizinc R Interface to 'MiniZinc' | 0.0.8 |
rminqa Derivative-Free Optimization in R using C++ | 0.2.2 |
rmio Provides 'mio' C++11 Header Files | 0.4.0 |
Rmisc Ryan Miscellaneous | 1.5.1 |
Rmixmod Classification with Mixture Modelling | 2.1.10 |
RMixpanel API for Mixpanel | 0.7-1 |
RMixtComp Mixture Models with Heterogeneous and (Partially) Missing Data | 4.1.4 |
RMixtCompIO Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data | 4.0.11 |
RMixtCompUtilities Utility Functions for 'MixtComp' Outputs | 4.1.6 |
RMKdiscrete Sundry Discrete Probability Distributions | 0.2 |
RMLPCA Maximum Likelihood Principal Component Analysis | 0.0.1 |
RMM Revenue Management Modeling | 0.1.0 |
RMOA Connect R with MOA for Massive Online Analysis | 1.1.0 |
RMOAjars External jars Required for Package RMOA | 1.2.0 |
Rmodule Automated Markov Chain Monte Carlo for Arbitrarily Structured Correlation Matrices | 1.0 |
Rmolt Graphic Visualization of the Birds' Molt | 1.0.0 |
Rmonize Support Retrospective Harmonization of Data | 1.1.0 |
rmoo Multi-Objective Optimization in R | 0.2.0 |
RMOPI Risk Management and Optimization for Portfolio Investment | 1.1 |
Rmosek The R to MOSEK Optimization Interface | 1.3.5 |
rMOST Estimates Pareto-Optimal Solution for Hiring with 3 Objectives | 1.0.1 |
rmp Rounded Mixture Package | 2.2 |
Rmpfr Interface R to MPFR - Multiple Precision Floating-Point Reliable | 1.0-0 |
Rmpi Interface (Wrapper) to MPI (Message-Passing Interface) | 0.7-2.1 |
RMPSH Recursive Modified Pattern Search on Hyper-Rectangle | 1.1.1 |
rmpw Causal Mediation Analysis Using Weighting Approach | 0.0.5 |
rMR Importing Data from Loligo Systems Software, Calculating Metabolic Rates and Critical Tensions | 1.1.0 |
rms Regression Modeling Strategies | 6.9-0 |
rmsb Bayesian Regression Modeling Strategies | 1.1-1 |
RMSD Refined Modified Stahel-Donoho Estimators for Outlier Detection | 0.1.0 |
RMSDp Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection (Parallel Version) | 0.1.1 |
rmsfact Amazing Random Facts About the World's Greatest Hacker | 0.0.3 |
rmsfuns Quickly View Data Frames in 'Excel', Build Folder Paths and Create Date Vectors | 1.0.0.1 |
RMSNumpress 'Rcpp' Bindings to Native C++ Implementation of MS Numpress | 1.0.1 |
RMSS Robust Multi-Model Subset Selection | 1.1.1 |
Rmst Computerized Adaptive Multistage Testing | 0.0.3 |
rmstBayespara Bayesian Restricted Mean Survival Time for Cluster Effect | 0.1.0 |
rmstcompsens Comparing Restricted Mean Survival Time as Sensitivity Analysis | 0.1.5 |
rmt Restricted Mean Time in Favor of Treatment | 1.0 |
RMT4DS Computation of Random Matrix Models | 0.0.1 |
RMThreshold Signal-Noise Separation in Random Matrices by using Eigenvalue Spectrum Analysis | 1.1 |
RMTL Regularized Multi-Task Learning | 0.9.9 |
RMTstat Distributions, Statistics and Tests Derived from Random Matrix Theory | 0.3.1 |
rMultiNet Multi-Layer Networks Analysis | 0.1 |
rmumps Wrapper for MUMPS Library | 5.2.1-30 |
rmutil Utilities for Nonlinear Regression and Repeated Measurements Models | 1.1.10 |
RMVL Mappable Vector Library for Handling Large Datasets | 1.1.0.1 |
rMVP Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool | 1.1.1 |
rmweather Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data | 0.2.6 |
RMX Rasch Models -- eXtensions | 0.1-6 |
RMySQL Database Interface and 'MySQL' Driver for R | 0.10.29 |
rmytarget Load Data from 'MyTarget API v2 and v3' | 2.4.0 |
rmzqc Creation, Reading and Validation of 'mzqc' Files | 0.5.4 |
rnaCrosslinkOO Analysis of RNA Crosslinking Data | 0.1.4 |
rnames Recursive Display of Items in Nested Lists | 1.0.1 |
RNAmf Recursive Non-Additive Emulator for Multi-Fidelity Data | 1.0.0 |
Rnanoflann Extremely Fast Nearest Neighbor Search | 0.0.3 |
RNAseqNet Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation | 0.1.5 |
RNAseqQC Quality Control for RNA-Seq Data | 0.2.1 |
RNAsmc RNA Secondary Structure Module Mining, Comparison and Plotting | 0.8.0 |
rnassqs Access Data from the NASS 'Quick Stats' API | 0.6.3 |
rnaturalearth World Map Data from Natural Earth | 1.0.1 |
rnaturalearthdata World Vector Map Data from Natural Earth Used in 'rnaturalearth' | 1.0.0 |
RnavGraphImageData Image Data Used in the Loon Package Demos | 0.0.4 |
rnbp Wrapper for the National Bank of Poland API | 0.2.1 |
RNCBIEUtilsLibs EUtils libraries for use in the R environment. | 0.9 |
RNCEP Obtain, Organize, and Visualize NCEP Weather Data | 1.0.10 |
rncl An Interface to the Nexus Class Library | 0.8.7 |
RND Risk Neutral Density Extraction Package | 1.2 |
rNeighborGWAS Testing Neighbor Effects in Marker-Based Regressions | 1.2.4 |
rNeighborQTL Interval Mapping for Quantitative Trait Loci Underlying Neighbor Effects | 1.1.2 |
RNentropy Entropy Based Method for the Detection of Significant Variation in Gene Expression Data | 1.2.3 |
rneos XML-RPC Interface to NEOS | 0.4-0 |
Rnest Next Eigenvalue Sufficiency Test | 0.0.0.2 |
rnetcarto Fast Network Modularity and Roles Computation by Simulated Annealing (Rgraph C Library Wrapper for R) | 0.2.6 |
RNetCDF Interface to 'NetCDF' Datasets | 2.9-2 |
RNetLogo Provides an Interface to the Agent-Based Modelling Platform 'NetLogo' | 1.0-4 |
RNewsflow Tools for Comparing Text Messages Across Time and Media | 1.2.8 |
RNeXML Semantically Rich I/O for the 'NeXML' Format | 2.4.11 |
RNGforGPD Random Number Generation for Generalized Poisson Distribution | 1.1.0 |
rngSetSeed Seeding the Default RNG with a Numeric Vector | 0.3-3 |
rngtools Utility Functions for Working with Random Number Generators | 1.5.2 |
rngWELL Toolbox for WELL Random Number Generators | 0.10-10 |
RNHANES Facilitates Analysis of CDC NHANES Data | 1.1.0 |
RNifti Fast R and C++ Access to NIfTI Images | 1.7.0 |
Rniftilib Rniftilib - R Interface to NIFTICLIB (V2.0.0: 2010-07-20) | 0.0-35 |
RNiftyReg Image Registration Using the 'NiftyReg' Library | 2.8.4 |
Rnightly A Wrapper of the 'JavaScript' Library 'Nightly' | 0.1.0 |
rnmamod Bayesian Network Meta-Analysis with Missing Participants | 0.4.0 |
Rnmr1D Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra | 1.3.2 |
rnn Recurrent Neural Network | 1.9.0 |
rnndescent Nearest Neighbor Descent Method for Approximate Nearest Neighbors | 0.1.6 |
rnnmf Regularized Non-Negative Matrix Factorization | 0.3.0 |
rNOMADS An R Interface to the NOAA Operational Model Archive and Distribution System | 2.5.3 |
RNOmni Rank Normal Transformation Omnibus Test | 1.0.1.2 |
rnpn Interface to the National 'Phenology' Network 'API' | 1.2.9.0 |
rnr Rosenbaum and Rubin Sensitivity | 0.2.1 |
rnrfa UK National River Flow Archive Data from R | 2.1.0.6 |
Rnumerai Interface to the Numerai Machine Learning Tournament API | 3.0.1 |
Rnvd3 An Incomplete Wrapper of the 'nvd3' JavaScript Library | 1.0.0 |
roadoi Find Free Versions of Scholarly Publications via Unpaywall | 0.7.3 |
roads Road Network Projection | 1.2.0 |
roahd Robust Analysis of High Dimensional Data | 1.4.3 |
ROAuth R Interface For OAuth | 0.9.6 |
RobAStBase Robust Asymptotic Statistics | 1.2.6 |
RobAStRDA Interpolation Grids for Packages of the 'RobASt' - Family of Packages | 1.2.1 |
robber Using Block Model to Estimate the Robustness of Ecological Network | 0.2.4 |
robcbi Conditionally Unbiased Bounded Influence Estimates | 1.1-4 |
robCompositions Compositional Data Analysis | 2.4.1 |
robcor Robust Correlations | 0.1-6.1 |
roben Robust Bayesian Variable Selection for Gene-Environment Interactions | 0.1.1 |
robeth R Functions for Robust Statistics | 2.7-8 |
RobExtremes Optimally Robust Estimation for Extreme Value Distributions | 1.3.1 |
robfilter Robust Time Series Filters | 4.1.5 |
robflreg Robust Functional Linear Regression | 1.2 |
RobGARCHBoot Robust Bootstrap Forecast Densities for GARCH Models | 1.2.0 |
robin ROBustness in Network | 1.2.0 |
RobinCar Robust Inference for Covariate Adjustment in Randomized Clinical Trials | 0.3.2 |
RobinHood Interface for the RobinHood.com No Commission Investing Platform | 1.7.0 |
robis Ocean Biodiversity Information System (OBIS) Client | 2.11.3 |
RobKF Innovative and/or Additive Outlier Robust Kalman Filtering | 1.0.2 |
RobLox Optimally Robust Influence Curves and Estimators for Location and Scale | 1.2.1 |
RobLoxBioC Infinitesimally Robust Estimators for Preprocessing -Omics Data | 1.2.2 |
RoBMA Robust Bayesian Meta-Analyses | 3.2.0 |
robmed (Robust) Mediation Analysis | 1.2.0 |
robmedExtra Extra Functionality for (Robust) Mediation Analysis | 0.1.1 |
robmixglm Robust Generalized Linear Models (GLM) using Mixtures | 1.2-4 |
RobMixReg Robust Mixture Regression | 1.1.0 |
robnptests Robust Nonparametric Two-Sample Tests for Location/Scale | 1.1.0 |
roboBayes Robust Online Bayesian Monitoring | 1.2 |
robomit Robustness Checks for Omitted Variable Bias | 1.0.6 |
robotoolbox Client for the 'KoboToolbox' API | 1.3.2 |
robotstxt A 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler' Permissions Checker | 0.7.15 |
RobPer Robust Periodogram and Periodicity Detection Methods | 1.2.3 |
robqda Robust Quadratic Discriminant Analysis | 1.0 |
robreg3S Three-Step Regression and Inference for Cellwise and Casewise Contamination | 0.3 |
robregcc Robust Regression with Compositional Covariates | 1.1 |
RobRegression Robust Multivariate Regression | 0.1.0 |
RoBSA Robust Bayesian Survival Analysis | 1.0.2 |
robsel Robust Selection Algorithm | 0.1.0 |
robservable Import an Observable Notebook as HTML Widget | 0.2.2 |
robslopes Fast Algorithms for Robust Slopes | 1.1.3 |
RobStatTM Robust Statistics: Theory and Methods | 1.0.11 |
robStepSplitReg Robust Stepwise Split Regularized Regression | 1.1.0 |
robsurvey Robust Survey Statistics Estimation | 0.7 |
RoBTT Robust Bayesian T-Test | 1.3.1 |
robumeta Robust Variance Meta-Regression | 2.1 |
robust Port of the S+ "Robust Library" | 0.7-5 |
robust2sls Outlier Robust Two-Stage Least Squares Inference and Testing | 0.2.2 |
RobustAFT Truncated Maximum Likelihood Fit and Robust Accelerated Failure Time Regression for Gaussian and Log-Weibull Case | 1.4-7 |
RobustANOVA Robust One-Way ANOVA Tests under Heteroscedasticity and Nonnormality | 0.3.0 |
robustarima Robust ARIMA Modeling | 0.2.7 |
robustbase Basic Robust Statistics | 0.99-4-1 |
RobustBayesianCopas Robust Bayesian Copas Selection Model | 2.0 |
robustbetareg Robust Beta Regression | 0.3.0 |
RobustBF Robust Solution to the Behrens-Fisher Problem | 0.2.0 |
robustBLME Robust Bayesian Linear Mixed-Effects Models using ABC | 0.1.3 |
RobustCalibration Robust Calibration of Imperfect Mathematical Models | 0.5.5 |
robustcov Collection of Robust Covariance and (Sparse) Precision Matrix Estimators | 0.1 |
robustDA Robust Mixture Discriminant Analysis | 1.2 |
robusTest Calibrated Correlation and Two-Sample Tests | 1.1.0 |
robustETM Robust Methods using Exponential Tilt Model | 1.0 |
robustfa Object Oriented Solution for Robust Factor Analysis | 1.1-0 |
RobustGaSP Robust Gaussian Stochastic Process Emulation | 0.6.6 |
robustHD Robust Methods for High-Dimensional Data | 0.8.1 |
RobustIV Robust Instrumental Variable Methods in Linear Models | 0.2.5 |
RobustLinearReg Robust Linear Regressions | 1.2.0 |
robustlm Robust Variable Selection with Exponential Squared Loss | 0.1.0 |
robustlmm Robust Linear Mixed Effects Models | 3.3-1 |
robustmatrix Robust Matrix-Variate Parameter Estimation | 0.1.3 |
robustmeta Robust Inference for Meta-Analysis with Influential Outlying Studies | 1.2-1 |
RobustPrediction Robust Tuning and Training for Cross-Source Prediction | 0.1.4 |
robustrank Robust Rank-Based Tests | 2024.1-28 |
RobustRankAggreg Methods for Robust Rank Aggregation | 1.2.1 |
robustrao An Extended Rao-Stirling Diversity Index to Handle Missing Data | 1.0-5 |
robustreg Robust Regression Functions | 0.1-11 |
robustsae Robust Bayesian Small Area Estimation | 0.1.0 |
robustsur Robust Estimation for Seemingly Unrelated Regression Models | 0.0-7 |
robustvarComp Robust Estimation of Variance Component Models | 0.1-7 |
robustX 'eXtra' / 'eXperimental' Functionality for Robust Statistics | 1.2-7 |
robvis Visualize the Results of Risk-of-Bias (ROB) Assessments | 0.3.0 |
Robyn Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science | 3.11.1 |
ROCaggregator Aggregate Multiple ROC Curves into One Global ROC | 1.0.1 |
rocbc Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves | 3.1.0 |
rocc ROC Based Classification | 1.3 |
roccv ROC for Cross Validation Results | 1.2 |
rOCEAN Two-Way Feature Set Testing for Multi-Omics | 1.0 |
ROCFTP.MMS Perfect Sampling | 1.0.0 |
ROCit Performance Assessment of Binary Classifier with Visualization | 2.1.2 |
rock Reproducible Open Coding Kit | 0.8.1 |
rockchalk Regression Estimation and Presentation | 1.8.157 |
rocker Database Interface Class | 0.3.1 |
ROCket Simple and Fast ROC Curves | 1.0.1 |
RockFab Rock Fabric and Strain Analysis Tools | 1.2.1 |
rockr 'Rock' R Server Client | 1.0.0 |
roclang Functions for Diffusing Function Documentations into 'Roxygen' Comments | 0.2.2 |
rocNIT Non-Inferiority Test for Paired ROC Curves | 1.0 |
rocnp Work with Romanian Personal Numeric Codes PNC / CNP | 0.1.0 |
ROCnReg ROC Curve Inference with and without Covariates | 1.0-9 |
rococo Robust Rank Correlation Coefficient and Test | 1.1.9 |
ROCpsych Compute and Compare Diagnostic Test Statistics Across Groups | 1.3 |
ROCR Visualizing the Performance of Scoring Classifiers | 1.0-11 |
ROCSI Receiver Operating Characteristic Based Signature Identification | 0.1.0 |
ROCsurf ROC Surface Analysis Under the Three-Class Problems | 0.1.1 |
rocsvm.path The Entire Solution Paths for ROC-SVM | 0.1.0 |
rocTree Receiver Operating Characteristic (ROC)-Guided Classification and Survival Tree | 1.1.1 |
RODBC ODBC Database Access | 1.3-26 |
RODBCDBI Provides Access to Databases Through the ODBC Interface | 0.1.1 |
rodd Optimal Discriminating Designs | 0.2-1 |
rODE Ordinary Differential Equation (ODE) Solvers Written in R Using S4 Classes | 0.99.6 |
rodeo A Code Generator for ODE-Based Models | 0.8.2 |
rofanova Robust Functional Analysis of Variance | 1.0.0 |
roger Automated Grading of R Scripts | 1.5-1 |
Rogue Identify Rogue Taxa in Sets of Phylogenetic Trees | 2.1.6 |
ROI R Optimization Infrastructure | 1.0-1 |
ROI.models.globalOptTests 'ROI' Optimization Problems Based on 'globalOptTests' | 1.1-1 |
ROI.models.miplib 'ROI' Access to 'MIPLIB' 2010 Benchmark Instances | 1.0-0 |
ROI.models.netlib 'ROI' Optimization Problems Based on 'NETLIB-LP' | 1.1-2 |
ROI.plugin.alabama 'alabama' Plug-in for the 'R' Optimization Infrastructure | 1.0-2 |
ROI.plugin.clarabel 'clarabel' Plug-in for the 'R' Optimization Infrastructure | 0.3 |
ROI.plugin.deoptim 'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization Interface | 1.0-2 |
ROI.plugin.ecos 'ECOS' Plugin for the 'R' Optimization Infrastructure | 1.0-2 |
ROI.plugin.glpk 'ROI' Plug-in 'GLPK' | 1.0-0 |
ROI.plugin.highs 'HiGHS' Plugin for the 'R' Optimization Infrastructure | 1.0-3 |
ROI.plugin.ipop 'ipop' Plug-in for the 'R' Optimization Interface | 1.0-0 |
ROI.plugin.lpsolve 'lp_solve' Plugin for the 'R' Optimization Infrastructure | 1.0-2 |
ROI.plugin.msbinlp 'Multi-Solution' Binary Linear Problem Plug-in for the 'R' Optimization Interface | 1.0-1 |
ROI.plugin.neos 'NEOS' Plug-in for the 'R' Optimization Interface | 1.0-2 |
ROI.plugin.nloptr 'nloptr' Plug-in for the 'R' Optimization Infrastructure | 1.0-1 |
ROI.plugin.optimx 'optimx' Plug-in for the 'R' Optimization Infrastructure | 1.0-1 |
ROI.plugin.osqp 'osqp' Plugin for the 'R' Optimization Infrastructure | 1.0-2 |
ROI.plugin.qpoases 'qpOASES' Plugin for the 'R' Optimization Infrastructure | 1.0-3 |
ROI.plugin.quadprog 'quadprog' Plug-in for the 'R' Optimization Infrastructure | 1.0-1 |
ROI.plugin.scs 'SCS' Plug-in for the 'R' Optimization Infrastructure | 1.1-2 |
ROI.plugin.symphony 'SYMPHONY' Plug-in for the 'R' Optimization Interface | 1.0-0 |
rolap Obtaining Star Databases from Flat Tables | 2.5.1 |
roll Rolling and Expanding Statistics | 1.1.7 |
rollama Communicate with 'Ollama' to Run Large Language Models Locally | 0.2.0 |
rollbar Error Tracking and Logging | 0.1.0 |
rolldown R Markdown Output Formats for Storytelling | 0.1 |
rollinglda Construct Consistent Time Series from Textual Data | 0.1.3 |
rollmatch Rolling Entry Matching | 2.0.3 |
rollup A Tidy Grouping Set Aggregation | 0.1.0 |
roloc Convert Colour Specification to Colour Name | 0.1-2 |
rolocISCCNBS A Colour List and Colour Metric Based on the ISCC-NBS System of Color Designation | 0.1 |
ROlogit Fit Rank-Ordered Logit (RO-Logit) Model | 0.1.2 |
rolr Finding Optimal Three-Group Splits Based on a Survival Outcome | 1.0.0 |
RolWinMulCor Subroutines to Estimate Rolling Window Multiple Correlation | 1.2.0 |
RolWinWavCor Estimate Rolling Window Wavelet Correlation Between Two Time Series | 0.4.0 |
ROMDB Get 'OMDB' API Multiple Information | 0.1.0 |
romic R for High-Dimensional Omic Data | 1.1.3 |
RonFHIR Read and Search Interface to the 'HL7 FHIR' REST API | 0.4.0 |
Rook HTTP Web Server for R | 1.2 |
ROOPSD R Object Oriented Programming for Statistical Distribution | 0.3.9 |
roots Reconstructing Ordered Ontogenic Trajectories | 1.0 |
RootsExtremaInflections Finds Roots, Extrema and Inflection Points of a Curve | 1.2.1 |
rootSolve Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations | 1.8.2.4 |
rope Model Selection with FDR Control of Selected Variables | 1.0 |
ropenblas Download, Compile and Link 'OpenBLAS' Library with R | 0.3.0 |
ROpenCVLite Helper Package for Installing OpenCV with R | 4.90.2 |
ropendata Query and Download 'Rapid7' 'Cybersecurity' Data Sets | 0.1.0 |
ROpenDota Access OpenDota Services in R | 0.1.2 |
ROpenFIGI R Interface to OpenFIGI | 0.2.8 |
ropenmeteo Wrappers for 'Open-Meteo' API | 0.1 |
ropensecretsapi R Package for the OpenSecrets.org API | 1.0.1 |
ROpenWeatherMap R Interface to OpenWeatherMap API | 1.1 |
roperators Additional Operators to Help you Write Cleaner R Code | 1.3.14 |
ropercenter Reproducible Data Retrieval from the Roper Center Data Archive | 0.3.2 |
Ropj Import Origin(R) Project Files | 0.3-5 |
ROptEst Optimally Robust Estimation | 1.3.4 |
roptim General Purpose Optimization in R using C++ | 0.1.6 |
ROptimus A Parallel General-Purpose Adaptive Optimisation Engine | 3.0.0 |
roptions Option Strategies and Valuation | 1.0.3 |
ROptSpace Matrix Reconstruction from a Few Entries | 0.2.3 |
rorcid Interface to the 'Orcid.org' API | 0.7.0 |
rorqual.morpho Morphological Allometry of Rorquals | 0.1.1 |
ROSE Random Over-Sampling Examples | 0.0-4 |
Rosenbrock Extended Rosenbrock-Type Densities for Markov Chain Monte Carlo (MCMC) Sampler Benchmarking | 0.1.0 |
roseRF ROSE Random Forests for Robust Semiparametric Efficient Estimation | 0.1.0 |
rosetta Parallel Use of Statistical Packages in Teaching | 0.3.12 |
rosetteApi 'Rosette' API | 1.14.4 |
rosm Plot Raster Map Tiles from Open Street Map and Other Sources | 0.3.0 |
rosmium Bindings for 'Osmium Tool' | 0.1.0 |
rospca Robust Sparse PCA using the ROSPCA Algorithm | 1.1.1 |
rosv Client to Access and Operate on the 'Open Source Vulnerability' API | 0.5.1 |
rotasym Tests for Rotational Symmetry on the Hypersphere | 1.1.5 |
rotationForest Fit and Deploy Rotation Forest Models | 0.1.3 |
rotations Working with Rotation Data | 1.6.5 |
rotatogram A Non-Axis-Dominant Association Plotting Tool | 0.1.3 |
rotl Interface to the 'Open Tree of Life' API | 3.1.0 |
rotor Log Rotation and Conditional Backups | 0.3.7 |
roughnet Visualize Networks using 'roughjs' | 1.0.1 |
RoughSets Data Analysis Using Rough Set and Fuzzy Rough Set Theories | 1.3-8 |
roughsf Visualize Spatial Data using 'roughjs' | 1.0.0 |
round Rounding to Decimal Digits | 0.21-0.2 |
RoundAndRound Plot Objects Moving in Orbits | 0.0.1 |
roundhouse Random Chuck Norris Facts | 0.0.2 |
roundwork Rounding Infrastructure | 0.0.1 |
roundyh Round Dataframe | 0.1.0 |
Routliers Robust Outliers Detection | 0.0.0.3 |
routr A Simple Router for HTTP and WebSocket Requests | 0.4.1 |
roxut Document Unit Tests Roxygen-Style | 0.4.0 |
roxy.shinylive A 'roxygen2' Extension for 'Shinylive' | 1.0.0 |
roxygen2 In-Line Documentation for R | 7.3.2 |
roxygen2md 'Roxygen' to 'Markdown' | 1.0.1 |
roxyglobals 'Roxygen2' Global Variable Declarations | 1.0.0 |
roxylint Lint 'roxygen2'-Generated Documentation | 0.1.0 |
roxytest Various Tests with 'roxygen2' | 0.0.2 |
roxytypes Typed Parameter Tags for Integration with 'roxygen2' | 0.1.2 |
rPACI Placido Analysis of Corneal Irregularity | 0.2.2 |
rPackedBar Packed Bar Charts with 'plotly' | 0.2.2 |
rpact Confirmatory Adaptive Clinical Trial Design and Analysis | 4.1.0 |
Rpadrino Interact with the 'PADRINO' IPM Database | 0.0.5 |
rPAex Automatic Detection of Experimental Unit in Precision Agriculture | 1.0.5 |
rpaleoclim Download Paleoclimate Data from 'PaleoClim' | 1.0.1 |
RPANDA Phylogenetic ANalyses of DiversificAtion | 2.3 |
rpanel Simple Interactive Controls for R using the 'tcltk' Package | 1.1-5.2 |
rPanglaoDB Download and Merge Single-Cell RNA-Seq Data from the PanglaoDB Database | 0.2.1 |
rpart Recursive Partitioning and Regression Trees | 4.1.23 |
rpart.LAD Least Absolute Deviation Regression Trees | 0.1.3 |
rpart.plot Plot 'rpart' Models: An Enhanced Version of 'plot.rpart' | 3.1.2 |
rpartScore Classification Trees for Ordinal Responses | 1.0-2 |
RPatternJoin String Similarity Joins for Hamming and Levenshtein Distances | 1.0.0 |
rPBK Inference and Prediction of Generic Physiologically-Based Kinetic Models | 0.2.4 |
rpca RobustPCA: Decompose a Matrix into Low-Rank and Sparse Components | 0.2.3 |
Rpdb Read, Write, Visualize and Manipulate PDB Files | 2.3.4 |
rPDBapi A Comprehensive Interface for Accessing the Protein Data Bank | 2.1.1 |
rpdo Pacific Decadal Oscillation Index Data | 0.3.2 |
RPDTest A New Type of Test Statistic and Method for Multinomial Goodness-of-Fit Test | 0.0.2 |
RpeakChrom Tools for Chromatographic Column Characterization and Modelling Chromatographic Peak | 1.1.0 |
RPEGLMEN Gamma and Exponential Generalized Linear Models with Elastic Net Penalty | 1.1.2 |
RPEIF Computation and Plots of Influence Functions for Risk and Performance Measures | 1.2.4 |
RPEnsemble Random Projection Ensemble Classification | 0.5 |
RPESE Estimates of Standard Errors for Risk and Performance Measures | 1.2.5 |
RPEXE.RPEXT Reduced Piecewise Exponential Estimate/Test Software | 0.0.2 |
rpf Response Probability Functions | 1.0.14 |
RPhosFate Soil and Chemical Substance Emission and Transport Model | 1.0.4 |
Rphylopars Phylogenetic Comparative Tools for Missing Data and Within-Species Variation | 0.3.10 |
rphylopic Get Silhouettes of Organisms from PhyloPic | 1.5.0 |
rpinterest Access Pinterest API | 0.3.1 |
rpivotTable Build Powerful Pivot Tables and Dynamically Slice & Dice your Data | 0.3.0 |
rplanes Plausibility Analysis of Epidemiological Signals | 0.1.0 |
rplotengine R as a Plotting Engine | 1.0-9 |
rpls Robust Partial Least Squares | 0.6.0 |
rplum Bayesian Age-Depth Modelling of Cores Dated by Pb-210 | 0.5.1 |
rpm Modeling of Revealed Preferences Matchings | 0.7-3 |
RPMG Graphical User Interface (GUI) for Interactive R Analysis Sessions | 2.2-7 |
RPMM Recursively Partitioned Mixture Model | 1.25 |
rpmodel P-Model | 1.2.3 |
rpms Recursive Partitioning for Modeling Survey Data | 0.5.1 |
rpnf Point and Figure Package | 1.0.5 |
Rpoet 'PoetryDB' API Wrapper | 1.1.0 |
RPointCloud Visualizing Topological Loops and Voids | 0.8.0 |
Rpolyhedra Polyhedra Database | 0.5.6 |
Rpoppler PDF Tools Based on Poppler | 0.1-3 |
rportfolio Portfolio Theory | 0.0.3 |
rpostgis R Interface to a 'PostGIS' Database | 1.6.0 |
RPostgres C++ Interface to PostgreSQL | 1.4.7 |
RPostgreSQL R Interface to the 'PostgreSQL' Database System | 0.7-7 |
rPowerSampleSize Sample Size Computations Controlling the Type-II Generalized Family-Wise Error Rate | 1.0.2 |
RPPairwiseDesign Resolvable partially pairwise balanced design and Space-filling design via association scheme | 1.0 |
RPPanalyzer Reads, Annotates, and Normalizes Reverse Phase Protein Array Data | 1.4.9 |
RPPASPACE Reverse-Phase Protein Array Super Position and Concentration Evaluation | 1.0.10 |
rpql Regularized PQL for Joint Selection in GLMMs | 0.8.1 |
rPraat Interface to Praat | 1.3.2-1 |
rpredictit Interface to the 'PredictIt' API | 0.1.0 |
rPref Database Preferences and Skyline Computation | 1.4.0 |
RPregression A Simple Regression and Plotting Tool | 0.1.0 |
RPresto DBI Connector to Presto | 1.4.6 |
rprev Estimating Disease Prevalence from Registry Data | 1.0.5 |
rprime Functions for Working with 'Eprime' Text Files | 0.1.2 |
rprintf Adaptive Builder for Formatted Strings | 0.2.1 |
RprobitB Bayesian Probit Choice Modeling | 1.1.4 |
RProbSup Calculates Probability of Superiority | 3.0 |
Rprofet WOE Transformation and Scorecard Builder | 3.1.1 |
rprofile Load Both User-Global and Project-Specific R Profile Configurations | 0.4.0 |
rprojroot Finding Files in Project Subdirectories | 2.0.4 |
rprojtree Create Folders and Files Structure for Data Science Projects | 1.0.0 |
RProtoBuf R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3) | 0.4.22 |
RPscoring Relative Placement Algorithm | 0.1.0 |
rpsftm Rank Preserving Structural Failure Time Models | 1.2.9 |
RPtests Goodness of Fit Tests for High-Dimensional Linear Regression Models | 0.1.5 |
rptR Repeatability Estimation for Gaussian and Non-Gaussian Data | 0.9.22 |
RPublica ProPublica API Client | 0.1.3 |
RPushbullet R Interface to the Pushbullet Messaging Service | 0.3.4 |
rpyANTs An Alternative Advanced Normalization Tools ('ANTs') | 0.0.3 |
RPyGeo ArcGIS Geoprocessing via Python | 1.0.0 |
rpymat Easy to Configure an Isolated 'Python' Environment | 0.1.7 |
rqcanon Canonical Quantile Regression | 0.1.0 |
rQCC Robust Quality Control Chart | 2.22.12 |
rqdatatable 'rquery' for 'data.table' | 1.3.3 |
RQdeltaCT Relative Quantification of Gene Expression using Delta Ct Methods | 1.3.0 |
RQEntangle Quantum Entanglement of Bipartite System | 0.1.3 |
rqlm Modified Poisson and Least-Squares Regressions for Binary Outcome | 2.1-1 |
rqPen Penalized Quantile Regression | 4.1.2 |
rQSAR QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random Forest | 1.0.0 |
rqti Create Tests According to QTI 2.1 Standard | 0.3.0 |
Rquake Seismic Hypocenter Determination | 2.5-1 |
RQuantLib R Interface to the 'QuantLib' Library | 0.4.24 |
Rquefts Quantitative Evaluation of the Native Fertility of Tropical Soils | 1.2-4 |
rquery Relational Query Generator for Data Manipulation at Scale | 1.4.99 |
rquest Hypothesis Tests for Quantiles and Quantile-Based Measures | 1.0.2 |
rr Statistical Methods for the Randomized Response Technique | 1.4.2 |
rr2 R2s for Regression Models | 1.1.1 |
Rramas Matrix Population Models | 0.1-6 |
rrandvec Generate Random Vectors Whose Components Sum Up to One | 1.0.0 |
rRAP Real-Time Adaptive Penalization for Streaming Lasso Models | 1.1 |
rrapply Revisiting Base Rapply | 1.2.7 |
rrat Robust Regression with Asymmetric Heavy-Tail Noise Distributions | 1.0.0 |
RRate Estimating Replication Rate for Genome-Wide Association Studies | 1.0 |
Rraven Connecting R and 'Raven' Sound Analysis Software | 1.0.14 |
rrBLUP Ridge Regression and Other Kernels for Genomic Selection | 4.6.3 |
RRBoost A Robust Boosting Algorithm | 0.2 |
rrcov Scalable Robust Estimators with High Breakdown Point | 1.7-6 |
rrcov3way Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data | 0.5-0 |
rrcovHD Robust Multivariate Methods for High Dimensional Data | 0.3-1 |
rrcovNA Scalable Robust Estimators with High Breakdown Point for Incomplete Data | 0.5-2 |
Rrdap RDAP Server Querying | 1.0.7 |
rrecsys Environment for Evaluating Recommender Systems | 0.9.7.3.1 |
rredlist 'IUCN' Red List Client | 0.7.1 |
RRedshiftSQL R Interface to the 'Redshift' Database | 0.1.2 |
rrefine r Client for OpenRefine API | 2.1.0 |
rreg Visualization for Norwegian Health Quality Registries | 0.2.1 |
rrepast Invoke 'Repast Simphony' Simulation Models | 0.8.0 |
Rrepest An Analyzer of International Large Scale Assessments in Education | 1.3.0 |
rres Realized Relatedness Estimation and Simulation | 1.1 |
RRF Regularized Random Forest | 1.9.4.1 |
RRI Residual Randomization Inference for Regression Models | 1.1 |
rriskDistributions Fitting Distributions to Given Data or Known Quantiles | 2.1.2 |
rrMixture Reduced-Rank Mixture Models | 0.1-2 |
RRMLRfMC Reduced-Rank Multinomial Logistic Regression for Markov Chains | 0.4.0 |
RRNA Secondary Structure Plotting for RNA | 1.2 |
rrnni Manipulate with RNNI Tree Space | 0.1.1 |
rroad Road Condition Analysis | 0.0.5 |
rrpack Reduced-Rank Regression | 0.1-13 |
RRphylo Phylogenetic Ridge Regression Methods for Comparative Studies | 2.8.1 |
RRPP Linear Model Evaluation with Randomized Residuals in a Permutation Procedure | 2.0.4 |
rrr Reduced-Rank Regression | 1.0.0 |
RRreg Correlation and Regression Analyses for Randomized Response Data | 0.7.5 |
RRRR Online Robust Reduced-Rank Regression Estimation | 1.1.1 |
rrscale Robust Re-Scaling to Better Recover Latent Effects in Data | 1.0 |
rrtable Reproducible Research with a Table of R Codes | 0.3.0 |
RRTCS Randomized Response Techniques for Complex Surveys | 0.0.4 |
rrum Bayesian Estimation of the Reduced Reparameterized Unified Model with Gibbs Sampling | 0.2.1 |
RSA Response Surface Analysis | 0.10.6 |
RSADBE Data related to the book "R Statistical Application Development by Example" | 1.0 |
rsae Robust Small Area Estimation | 0.3 |
rSAFE Surrogate-Assisted Feature Extraction | 0.1.4 |
RSAGA SAGA Geoprocessing and Terrain Analysis | 1.4.0 |
Rsagacmd Linking R with the Open-Source 'SAGA-GIS' Software | 0.4.3 |
rsample General Resampling Infrastructure | 1.2.1 |
Rsampling Ports the Workflow of "Resampling Stats" Add-in to R | 0.1.1 |
Rsamtools | 2.22.0 |
rsat Dealing with Multiplatform Satellite Images | 0.1.21 |
RSAtools Advanced Response Surface Analysis | 0.1.1 |
rsatscan Tools, Classes, and Methods for Interfacing with 'SaTScan' Stand-Alone Software | 1.0.8 |
RSauceLabs R Wrapper for 'SauceLabs' REST API | 0.1.6 |
RSBJson Handle R Requests from R Service Bus Applications with JSON Payloads | 1.1.2 |
RSC Robust and Sparse Correlation Matrix | 2.0.4 |
rSCA An R Package for Stepwise Cluster Analysis | 3.1 |
RSCAT Shadow-Test Approach to Computerized Adaptive Testing | 1.1.3 |
rscc R Source Code Similarity Evaluation by Variable/Function Names | 0.2.1 |
RScelestial Scelestial: Steiner Tree Based Single-Cell Lineage Tree Inference | 1.0.4 |
RSclient Client for Rserve | 0.7-10 |
Rsconctdply Deploys Multiple 'Shiny' Apps using Configuration File | 0.1.3 |
rsconnect Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs' | 1.3.3 |
rscontract Generic implementation of the 'RStudio' connections contract | 0.1.2 |
rscopus Scopus Database 'API' Interface | 0.6.6 |
rscorecard A Method to Download Department of Education College Scorecard Data | 0.30.0 |
RSDA R to Symbolic Data Analysis | 3.2.1 |
rsdepth Ray Shooting Depth (i.e. RS Depth) Functions for Bivariate Analysis | 0.1-22 |
rSDI Spatial Dispersion Index (SDI) Family of Metrics for Spatial/Geographic Networks | 0.2.1 |
RSDK Sudoku with R | 1.0.1 |
rsdmx Tools for Reading SDMX Data and Metadata | 0.6-3 |
rsdNE Response Surface Designs with Neighbour Effects (rsdNE) | 1.1.0 |
RSE Number of Newly Discovered Rare Species Estimation | 1.3 |
rSEA Simultaneous Enrichment Analysis | 2.1.2 |
rseedcalc Estimating the Proportion of Genetically Modified Seeds in Seedlots via Multinomial Group Testing | 1.3 |
RSEIS Seismic Time Series Analysis Tools | 4.2-4 |
RSelenium R Bindings for 'Selenium WebDriver' | 1.7.9 |
rsem Robust Structural Equation Modeling with Missing Data and Auxiliary Variables | 0.5.1 |
RSentiment Analyse Sentiment of English Sentences | 2.2.2 |
Rserve Binary R server | 1.8-13 |
rsetse Strain Elevation Tension Spring Embedding | 0.5.0 |
rsf Report of Statistical Findings in 'bookdown' | 0.3.0 |
rSFA Slow Feature Analysis | 1.5 |
Rsfar Seasonal Functional Autoregressive Models | 0.0.1 |
rsgeo An Interface to Rust's 'geo' Library | 0.1.7 |
Rsgf SGF (Smart Game File) File Format Import | 1.0.0 |
RSGHB Functions for Hierarchical Bayesian Estimation: A Flexible Approach | 1.2.2 |
rSHAPE Simulated Haploid Asexual Population Evolution | 0.3.2 |
rshift Paleoecology Functions for Regime Shift Analysis | 3.1.1 |
rsi Efficiently Retrieve and Process Satellite Imagery | 0.3.1 |
rsides SIDES-Based Subgroup Search Algorithms | 0.1 |
RSiena Siena - Simulation Investigation for Empirical Network Analysis | 1.4.7 |
RsimMosaic R Simple Image Mosaic Creation Library | 1.0.3 |
rsimsum Analysis of Simulation Studies Including Monte Carlo Error | 0.13.0 |
rsinaica Download Data from Mexico's Air Quality Information System | 1.1.0 |
RSizeBiased Hypothesis Testing Based on R-Size Biased Samples | 0.1.0 |
RSKC Robust Sparse K-Means | 2.4.2 |
rskey Create Custom 'Rstudio' Keyboard Shortcuts | 0.4.4 |
rsleep Analysis of Sleep Data | 1.0.12 |
rslp A Stemming Algorithm for the Portuguese Language | 0.2.0 |
rslurm Submit R Calculations to a 'Slurm' Cluster | 0.6.2 |
rsm Response-Surface Analysis | 2.10.5 |
RSmallTelescopes Empirical Small Telescopes Analysis | 1.0.4 |
RSmartlyIO Loading Facebook and Instagram Advertising Data from 'Smartly.io' | 0.1.3 |
rsmatch Matching Methods for Time-Varying Observational Studies | 0.2.1 |
rsmatrix Matrices for Repeat-Sales Price Indexes | 0.2.9 |
Rsmlx R Speaks 'Monolix' | 2024.1.0 |
rsnell Snell Scoring | 0.1 |
RSNNS Neural Networks using the Stuttgart Neural Network Simulator (SNNS) | 0.4-17 |
rsocialwatcher 'Facebook Marketing API' Social Watcher | 0.1.1 |
RSocrata Download or Upload 'Socrata' Data Sets | 1.7.15-1 |
rsofun The P-Model and BiomeE Modelling Framework | 5.0.0 |
rsoi Import Various Northern and Southern Hemisphere Climate Indices | 0.5.6 |
Rsolnp General Non-Linear Optimization | 1.16 |
rsolr R to Solr Interface | 0.0.13 |
Rsomoclu Somoclu | 1.7.6 |
RSP 'shiny' Applications for Statistical and Psychometric Analysis | 0.4 |
rspa Adapt Numerical Records to Fit (in)Equality Restrictions | 0.2.8 |
rSPARCS Sites, Population, and Records Cleaning Skills | 0.1.1 |
rsparkling R Interface for H2O Sparkling Water | 0.2.19 |
rsparse Statistical Learning on Sparse Matrices | 0.5.2 |
Rspc Nelson Rules for Control Charts | 1.2.2 |
rSPDE Rational Approximations of Fractional Stochastic Partial Differential Equations | 2.4.0 |
RSpectra Solvers for Large-Scale Eigenvalue and SVD Problems | 0.16-2 |
rSpectral Spectral Modularity Clustering | 1.0.0.10 |
RSpincalc Conversion Between Attitude Representations of DCM, Euler Angles, Quaternions, and Euler Vectors | 1.0.2 |
rspiro Implementation of Spirometry Equations | 0.5 |
rspm 'RStudio' Package Manager | 0.6.1 |
Rspotify Access to Spotify API | 0.1.2 |
rsppfp R's Shortest Path Problem with Forbidden Subpaths | 1.0.4 |
rsprite2 Identify Distributions that Match Reported Sample Parameters (SPRITE) | 0.2.1 |
rsq R-Squared and Related Measures | 2.7 |
RSQL Database Agnostic Package to Generate and Process 'SQL' Queries in R | 0.2.2 |
RSQLite SQLite Interface for R | 2.3.9 |
RSqlParser Parse 'SQL' Statements | 1.5 |
RsqMed Total Mediation Effect Size Measure for High-Dimensional Mediators | 1.1 |
RSquaredMI R-Squared with Multiply Imputed Data | 0.2.0 |
rSRD Sum of Ranking Differences Statistical Test | 0.1.8 |
Rssa A Collection of Methods for Singular Spectrum Analysis | 1.1 |
RSSampling Ranked Set Sampling | 1.0 |
RsSimulx Extension of 'lixoftConnectors' for 'Simulx' | 2024.1 |
RSSL Implementations of Semi-Supervised Learning Approaches for Classification | 0.9.7 |
RSSOP Simulation of Supply Reservoir Systems using Standard Operation Policy | 1.1 |
RSStest Testing the Equality of Two Means Using RSS and MRSS | 1.0 |
RSSthemes RSS Palettes and Themes | 1.0.0 |
rstac Client Library for SpatioTemporal Asset Catalog | 1.0.1 |
rstack Stack Data Type as an 'R6' Class | 1.0.1 |
rstackdeque Persistent Fast Amortized Stack and Queue Data Structures | 1.1.1 |
rstan R Interface to Stan | 2.32.6 |
rstanarm Bayesian Applied Regression Modeling via Stan | 2.32.1 |
rstanbdp Bayesian Deming Regression for Method Comparison | 0.0.3 |
rstanemax Emax Model Analysis with 'Stan' | 0.1.7 |
rstantools Tools for Developing R Packages Interfacing with 'Stan' | 2.4.0 |
RStata A Bit of Glue Between R and Stata | 1.1.1 |
rstatix Pipe-Friendly Framework for Basic Statistical Tests | 0.7.2 |
rstatscn R Interface for China National Data | 1.1.3 |
Rstg STG : Feature Selection using STochastic Gates | 0.0.1 |
rstiefel Random Orthonormal Matrix Generation and Optimization on the Stiefel Manifold | 1.0.1 |
RStoolbox Remote Sensing Data Analysis | 1.0.0 |
rstpm2 Smooth Survival Models, Including Generalized Survival Models | 1.6.6 |
rStrava Access the 'Strava' API | 1.3.2 |
rstream Streams of Random Numbers | 1.3.7 |
rstudio.prefs Set 'RStudio' Preferences | 0.1.9 |
rstudioapi Safely Access the RStudio API | 0.17.1 |
rsubgroup Subgroup Discovery and Analytics | 1.1 |
rsurface Design of Rotatable Central Composite Experiments and Response Surface Analysis | 1.1.0 |
Rsurrogate Robust Estimation of the Proportion of Treatment Effect Explained by Surrogate Marker Information | 3.2 |
rsurv Random Generation of Survival Data | 0.0.2 |
RSurveillance Design and Analysis of Disease Surveillance Activities | 0.2.1 |
rsurveycto Interact with Data on 'SurveyCTO' | 0.2.1 |
rsvd Randomized Singular Value Decomposition | 1.0.5 |
rsvddpd Robust Singular Value Decomposition using Density Power Divergence | 1.0.0 |
rsvg Render SVG Images into PDF, PNG, (Encapsulated) PostScript, or Bitmap Arrays | 2.6.1 |
Rsymphony SYMPHONY in R | 0.1-33 |
rsyncrosim The R Interface to 'SyncroSim' | 2.0.1 |
rsyntax Extract Semantic Relations from Text by Querying and Reshaping Syntax | 0.1.4 |
rsyslog Interface to the 'syslog' System Logger | 1.0.3 |
rt Interface to the 'Request Tracker' API | 1.1.0 |
rt.test Robustified t-Test | 1.18.7.9 |
rt3 Tic-Tac-Toe Package for R | 0.1.2 |
rTableICC Random Generation of Contingency Tables | 1.0.9 |
rtables Reporting Tables | 0.6.10 |
rtabulator R Bindings for 'Tabulator JS' | 0.1.2 |
Rtapas Random Tanglegram Partitions | 1.2 |
rtape Manage and manipulate large collections of R objects stored as tape-like files | 2.2 |
Rtauchen Discretization of AR(1) Processes | 1.0 |
RTaxometrics Taxometric Analysis | 3.2.1 |
RTCC Detecting Trait Clustering in Environmental Gradients | 0.1.1 |
rTCRBCRr Repertoire Analysis of the Detected Clonotype | 0.1.1 |
RTD Simple TD API Client | 0.4.1 |
RTDE Robust Tail Dependence Estimation | 0.2-2 |
rtdists Response Time Distributions | 0.11-5 |
rtematres The rtematres API package | 0.2 |
rtemps R Templates for Reproducible Data Analyses | 0.8.0 |
rTensor Tools for Tensor Analysis and Decomposition | 1.4.8 |
rTensor2 MultiLinear Algebra | 2.0.0 |
rTephra Tephra Transport Modeling | 0.1 |
rtern A Ternary Conditional Operator for R | 0.1.2 |
RTextTools Automatic Text Classification via Supervised Learning | 1.4.3 |
rtf Rich Text Format (RTF) Output | 0.4-14.1 |
RTFA Robust Factor Analysis for Tensor Time Series | 0.1.0 |
rTG Methods to Analyse Seasonal Radial Tree Growth Data | 1.0.3 |
rtgstat Client for 'TGStat API' | 0.3.4 |
Rthingsboard 'ThingsBoard' API | 0.2.7 |
rticles Article Formats for R Markdown | 0.27 |
rticulate Ultrasound Tongue Imaging | 1.7.4 |
rtiddlywiki R Interface for 'TiddlyWiki' | 0.1.0 |
rtide Tide Heights | 0.0.11 |
rties Modeling Interpersonal Dynamics | 5.0.0 |
RTIGER HMM-Based Model for Genotyping and Cross-Over Identification | 2.1.0 |
rtika R Interface to 'Apache Tika' | 2.7.0 |
rtiktoken A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language Models | 0.0.6 |
rtip Inequality, Welfare and Poverty Indices and Curves using the EU-SILC Data | 1.1.1 |
rtist A Color Palette Generator | 1.0.0 |
rtk Rarefaction Tool Kit | 0.2.6.1 |
rtkore 'STK++' Core Library Integration to 'R' using 'Rcpp' | 1.6.12 |
RTL Risk Tool Library - Trading, Risk, 'Analytics' for Commodities | 1.3.5 |
RTLknitr Right to Left Dynamic Documents Using 'knitr' | 1.0.0 |
rtlr Print Right-to-Left Languages Correctly | 0.1.0 |
rTLsDeep Post-Hurricane Damage Severity Classification from TLS and AI | 0.0.5 |
RTMB 'R' Bindings for 'TMB' | 1.6 |
rtmpt Fitting (Exponential/Diffusion) RT-MPT Models | 2.0-1 |
rtms R Toolkit for Mass Spectrometry | 0.2.0 |
Rtnmin Truncated Newton Function Minimization with Bounds Constraints | 2016-7.7 |
rtodoist Create and Manage Todolist using 'Todoist.com' API | 0.1.0 |
rtoot Collecting and Analyzing Mastodon Data | 0.3.5 |
rtop Interpolation of Data with Variable Spatial Support | 0.6-9 |
rTorch R Bindings to 'PyTorch' | 0.4.2 |
rTPC Fitting and Analysing Thermal Performance Curves | 1.0.4 |
rtpcr qPCR Data Analysis | 2.0.0 |
Rtrack Spatial Navigation Strategy Analysis | 2.0.3 |
rtracklayer | 1.66.0 |
RTransferEntropy Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy | 0.2.21 |
rtrek Data Analysis Relating to Star Trek | 0.5.1 |
rtrend Trend Estimating Tools | 0.1.5 |
rtrends Analyze Download Logs from the CRAN RStudio Mirror | 0.1.0 |
RTriangle Triangle - A 2D Quality Mesh Generator and Delaunay Triangulator | 1.6-0.14 |
rtrim Trends and Indices for Monitoring Data | 2.3.0 |
rTRIPLEXCWFlux Carbon-Water Coupled Model | 0.2.0 |
rTRNG Advanced and Parallel Random Number Generation via 'TRNG' | 4.23.1-2 |
Rtropical Data Analysis Tools over Space of Phylogenetic Trees Using Tropical Geometry | 1.2.1 |
rtry Preprocessing Plant Trait Data | 1.1.0 |
rts Raster Time Series Analysis | 1.1-14 |
rts2 Real-Time Disease Surveillance | 0.7.7 |
RTSA 'Trial Sequential Analysis' for Error Control and Inference in Sequential Meta-Analyses | 0.2.2 |
rtsdata R Time Series Intelligent Data Storage | 0.1.4 |
RtsEva Performs the Transformed-Stationary Extreme Values Analysis | 1.0.0 |
Rtsne T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation | 0.17 |
rtson Typed JSON | 1.3 |
rtsplot Time Series Plot | 0.1.5 |
Rttf2pt1 'ttf2pt1' Program | 1.3.12 |
RTTWebClient Web Client to 'TickTrader' | 0.1.3 |
Rtumblr Collecting and Analyzing 'Tumblr' Data | 0.1.0 |
Rtwalk The R Implementation of the 't-walk' MCMC Algorithm | 1.8.0 |
rtweet Collecting Twitter Data | 2.0.0 |
rTwig Realistic Quantitative Structure Models | 1.3.0 |
Rtwobitlib '2bit' 'C' Library | 0.3.6 |
rtype A strong type system for R | 0.1-1 |
rtypeform Interface to 'typeform' Results | 2.1.0 |
rubias Bayesian Inference from the Conditional Genetic Stock Identification Model | 0.3.4 |
rucm Implementation of Unobserved Components Model (UCM) | 0.6 |
rucrdtw R Bindings for the UCR Suite | 0.1.6 |
rugarch Univariate GARCH Models | 1.5-3 |
ruijter Technical Data Sets by Ruijter et al. (2013) | 0.1.3 |
ruimtehol Learn Text 'Embeddings' with 'Starspace' | 0.3.2 |
ruin Simulation of Various Risk Processes | 0.1.1 |
ruler Tidy Data Validation Reports | 0.3.0 |
rules Model Wrappers for Rule-Based Models | 1.0.2 |
rUM R Templates from the University of Miami | 2.0.0 |
rumidas Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and MEM-MIDAS | 0.1.2 |
ruminate A Pharmacometrics Data Transformation and Analysis Tool | 0.2.4 |
runcharter Automatically Plot, Analyse and Revises Limits of Multiple Run Charts | 0.2.0 |
runDRT Run Doubly Ranked Tests | 0.1.0 |
runes Convert Strings to Elder Futhark Runes | 0.1.0 |
runexp Softball Run Expectancy using Markov Chains and Simulation | 0.2.1 |
RUnit R Unit Test Framework | 0.4.33 |
runjags Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS | 2.2.2-4 |
runMCMCbtadjust Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters | 1.1.2 |
runner Running Operations for Vectors | 0.4.4 |
runonce Run Once and Save Result | 0.2.3 |
runstats Fast Computation of Running Statistics for Time Series | 1.1.0 |
Runuran R Interface to the 'UNU.RAN' Random Variate Generators | 0.40 |
rusda Interface to USDA Databases | 1.0.8 |
rush Rapid Parallel and Distributed Computing | 0.1.2 |
rusk Beautiful Graphical Representation of Multiplication Tables on a Modular Circle | 0.1.1 |
rusquant Quantitative Trading Framework | 1.1.4 |
rust Ratio-of-Uniforms Simulation with Transformation | 1.4.3 |
rutifier Chilean Rol Unico Tributario | 1.0.4 |
rutledge Real-Time PCR Data Sets by Rutledge et al. (2004) | 0.1.1 |
ruv Detect and Remove Unwanted Variation using Negative Controls | 0.9.7.1 |
RVA RNAseq Visualization Automation | 0.0.5 |
RVAideMemoire Testing and Plotting Procedures for Biostatistics | 0.9-83-7 |
rvalues R-Values for Ranking in High-Dimensional Settings | 0.7.1 |
Rvcg Manipulations of Triangular Meshes Based on the 'VCGLIB' API | 0.24 |
rvcheck R/Package Version Check | 0.2.1 |
RVCompare Compare Real Valued Random Variables | 0.1.8 |
rvec Vector Representing a Random Variable | 0.0.7 |
Rveg Digitization of Phytosociological Relevés | 0.1.6 |
RVenn Set Operations for Many Sets | 1.1.0 |
RVerbalExpressions Create Regular Expressions Easily | 0.1.1 |
rversions Query 'R' Versions, Including 'r-release' and 'r-oldrel' | 2.1.2 |
rvertnet Search 'Vertnet', a 'Database' of Vertebrate Specimen Records | 0.8.4 |
rvest Easily Harvest (Scrape) Web Pages | 1.0.4 |
rvg R Graphics Devices for 'Office' Vector Graphics Output | 0.3.4 |
rvHPDT Calling Haplotype-Based and Variant-Based Pedigree Disequilibrium Test for Rare Variants in Pedigrees | 4.0 |
RViennaCL 'ViennaCL' C++ Header Files | 1.7.1.8 |
rviewgraph Animated Graph Layout Viewer | 1.4.2 |
rvif Collinearity Detection using Redefined Variance Inflation Factor and Graphical Methods | 2.0 |
rvinecopulib High Performance Algorithms for Vine Copula Modeling | 0.6.3.1.1 |
RVIpkg Regional Vulnerability Index | 0.3.2 |
rvisidata Wrapper for 'Visidata', an Interactive Multitool for Tabular Data | 1.0.0 |
rvkstat R Interface to API 'vk.com' | 3.2.0 |
rvmethod Radial Velocity Method for Detecting Exoplanets | 0.1.2 |
rvMF Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors | 0.1.0 |
rwa Perform a Relative Weights Analysis | 0.0.3 |
rwalkr API to Melbourne Pedestrian Data | 0.5.7 |
rwarrior R Warrior - An AI Programming Game | 0.4.1 |
Rwave Time-Frequency Analysis of 1-D Signals | 2.6-5 |
rwavelet Wavelet Analysis | 0.4.1 |
rwc Random Walk Covariance Models | 1.11 |
Rwclust Random Walk Clustering on Weighted Graphs | 0.1.0 |
rWCVP Generating Summaries, Reports and Plots from the World Checklist of Vascular Plants | 1.2.4 |
RWDataPlyr Read and Manipulate Data from 'RiverWare' | 0.6.4 |
RweaveExtra Sweave Drivers with Extra Tricks Up their Sleeve | 1.1-0 |
rwebstat Download Data from the Webstat API | 1.1.1 |
RWeka R/Weka Interface | 0.4-46 |
RWekajars R/Weka Interface Jars | 3.9.3-2 |
rwfec R Wireless, Forward Error Correction | 0.2 |
RWgraph Random Walks on Graphs Representing a Transactional Network | 1.0.0 |
rwhatsapp Import and Handling for 'WhatsApp' Chat Logs | 0.2.4 |
Rwhois WHOIS Server Querying | 1.0.16 |
rwicc Regression with Interval-Censored Covariates | 0.1.3 |
RWiener Wiener Process Distribution Functions | 1.3-3 |
rWikiPathways | 1.26.0 |
RWildbook Interface for the 'Wildbook' Wildlife Data Management Framework | 0.9.3 |
rWishart Random Wishart Matrix Generation | 0.1.2 |
rwisp WISP Multiple Criteria Sorting Method | 1.0.5 |
RWmisc Miscellaneous Spatial Functions | 0.1.2 |
RWNN Random Weight Neural Networks | 0.4 |
Rwofost WOFOST Crop Growth Simulation Model | 0.8-3 |
rworkflows Test, Document, Containerise, and Deploy R Packages | 1.0.2 |
rworldmap Mapping Global Data | 1.3-8 |
rworldxtra Country boundaries at high resolution. | 1.01 |
RWsearch Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One Download | 5.2.0 |
rwstats Chinese Character Frequency in Real World | 0.1 |
Rwtss Client for Web Time-Series Service | 0.9.2 |
rwty R We There Yet? Visualizing MCMC Convergence in Phylogenetics | 1.0.2 |
rwunderground R Interface to Weather Underground API | 0.1.8 |
RXKCD Get XKCD Comic from R | 1.9.2 |
RxnSim Functions to Compute Chemical and Chemical Reaction Similarity | 1.0.4 |
rxode2 Facilities for Simulating from ODE-Based Models | 3.0.3 |
rxode2et Event Table Functions for 'rxode2' | 2.0.13 |
rxode2ll Log-Likelihood Functions for 'rxode2' | 2.0.13 |
rxode2parse Parsing and Code Generation Functions for 'rxode2' | 2.0.19 |
rxode2random Random Number Generation Functions for 'rxode2' | 2.1.1 |
rxSeq Combined Total and Allele Specific Reads Sequencing Study | 0.99.3 |
RXshrink Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression | 2.3 |
rxylib Import XY-Data into R | 0.2.14 |
Ryacas R Interface to the 'Yacas' Computer Algebra System | 1.1.5 |
Ryacas0 Legacy 'Ryacas' (Interface to 'Yacas' Computer Algebra System) | 0.4.4 |
ryandexdirect Load Data From 'Yandex Direct' | 3.6.2 |
RYandexTranslate R Interface to Yandex Translate API | 1.0 |
rym R Interface to Yandex Metrica API | 1.0.6 |
rYoutheria Access to the YouTheria Mammal Trait Database | 1.0.3 |
rytstat Work with 'YouTube API' | 0.3.2 |
rYWAASB Simultaneous Selection by Trait and WAASB Index | 0.2 |
RZabbix R Module for Working with the 'Zabbix API' | 0.1.0 |
rzentra Client for the 'ZENTRA Cloud' API | 0.1.0 |
RZigZag Zig-Zag Sampler | 0.2.1 |
rzmq R Bindings for 'ZeroMQ' | 0.9.14 |
RZooRoH Partitioning of Individual Autozygosity into Multiple Homozygous-by-Descent Classes | 0.3.2.1 |
s2 Spherical Geometry Operators Using the S2 Geometry Library | 1.1.7 |
s20x Functions for University of Auckland Course STATS 201/208 Data Analysis | 3.1-40 |
s2dv A Set of Common Tools for Seasonal to Decadal Verification | 2.1.0 |
S4Arrays | 1.6.0 |
s4vd Biclustering via Sparse Singular Value Decomposition Incorporating Stability Selection | 1.1-1 |
S4Vectors | 0.44.0 |
S7 An Object Oriented System Meant to Become a Successor to S3 and S4 | 0.2.0 |
sadists Some Additional Distributions | 0.2.5 |
sads Maximum Likelihood Models for Species Abundance Distributions | 0.6.3 |
sae Small Area Estimation | 1.3 |
saemix Stochastic Approximation Expectation Maximization (SAEM) Algorithm | 3.3 |
saeRobust Robust Small Area Estimation | 0.5.0 |
safer Encrypt and Decrypt Strings, R Objects and Files | 0.2.1 |
safetensors Safetensors File Format | 0.1.2 |
salso Search Algorithms and Loss Functions for Bayesian Clustering | 0.3.42 |
SAM Sparse Additive Modelling | 1.1.3 |
SAMBA Selection and Misclassification Bias Adjustment for Logistic Regression Models | 0.9.0 |
sampleSelection Sample Selection Models | 1.2-12 |
sampling Survey Sampling | 2.10 |
samplingVarEst Sampling Variance Estimation | 1.5 |
SAMtool Stock Assessment Methods Toolkit | 1.8.0 |
sandwich Robust Covariance Matrix Estimators | 3.1-1 |
sarima Simulation and Prediction with Seasonal ARIMA Models | 0.9.3 |
sas7bdat sas7bdat Reverse Engineering Documentation | 0.8 |
SAScii Import ASCII Files Directly into R using Only a 'SAS' Input Script | 1.0.2 |
sasLM 'SAS' Linear Model | 0.10.5 |
sass Syntactically Awesome Style Sheets ('Sass') | 0.4.9 |
satellite Handling and Manipulating Remote Sensing Data | 1.0.5 |
sbgcop Semiparametric Bayesian Gaussian Copula Estimation and Imputation | 0.980 |
sbl Sparse Bayesian Learning for QTL Mapping and Genome-Wide Association Studies | 0.1.0 |
sbm Stochastic Blockmodels | 0.4.7 |
ScaledMatrix | 1.14.0 |
scales Scale Functions for Visualization | 1.3.0 |
scalreg Scaled Sparse Linear Regression | 1.0.1 |
scam Shape Constrained Additive Models | 1.2-17 |
scar Shape-Constrained Additive Regression: a Maximum Likelihood Approach | 0.2-2 |
scater | 1.34.0 |
scatterD3 D3 JavaScript Scatterplot from R | 1.0.1 |
scattermore Scatterplots with More Points | 1.2 |
scatterpie Scatter Pie Plot | 0.2.4 |
scatterplot3d 3D Scatter Plot | 0.3-44 |
sccore Core Utilities for Single-Cell RNA-Seq | 1.0.5 |
SCDB Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension) | 0.4.1 |
scDIFtest Item-Wise Score-Based DIF Detection | 0.1.1 |
schemr Convert Images to Usable Color Schemes | 0.3.0 |
scholar Analyse Citation Data from Google Scholar | 0.2.4 |
schoolmath Functions and Datasets for Math Used in School | 0.4.2 |
scistreer Maximum-Likelihood Perfect Phylogeny Inference at Scale | 1.2.0 |
scModels Fitting Discrete Distribution Models to Count Data | 1.0.4 |
scoringRules Scoring Rules for Parametric and Simulated Distribution Forecasts | 1.1.3 |
scran | 1.34.0 |
scrime Analysis of High-Dimensional Categorical Data Such as SNP Data | 1.3.5 |
scrm Simulating the Evolution of Biological Sequences | 1.7.5 |
scs Splitting Conic Solver | 3.2.4 |
sctransform Variance Stabilizing Transformations for Single Cell UMI Data | 0.4.1 |
scUtils Utility Functions for Single-Cell RNA Sequencing Data | 0.1.0 |
scutr Balancing Multiclass Datasets for Classification Tasks | 0.2.0 |
scuttle | 1.16.0 |
sda Shrinkage Discriminant Analysis and CAT Score Variable Selection | 1.3.8 |
sdcHierarchies Create and (Interactively) Modify Nested Hierarchies | 0.21.0 |
sdcTable Methods for Statistical Disclosure Control in Tabular Data | 0.32.6 |
sde Simulation and Inference for Stochastic Differential Equations | 2.0.18 |
sdetorus Statistical Tools for Toroidal Diffusions | 0.1.10 |
sdprisk Measures of Risk for the Compound Poisson Risk Process with Diffusion | 1.1-6 |
sdpt3r Semi-Definite Quadratic Linear Programming Solver | 0.3 |
sdsfun Spatial Data Science Complementary Features | 0.6.0 |
seacarb Seawater Carbonate Chemistry | 3.3.3 |
searcher Query Search Interfaces | 0.0.7 |
SearchTrees Spatial Search Trees | 0.5.5 |
seasonal R Interface to X-13-ARIMA-SEATS | 1.10.0 |
seastests Seasonality Tests | 0.15.4 |
secr Spatially Explicit Capture-Recapture | 5.1.0 |
see Model Visualisation Toolbox for 'easystats' and 'ggplot2' | 0.9.0 |
seewave Sound Analysis and Synthesis | 2.2.3 |
segmented Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects) | 2.1-3 |
segregatr Segregation Analysis for Variant Interpretation | 0.4.0 |
SEL Semiparametric Elicitation | 1.0-4 |
SelectBoost A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets | 2.2.2 |
selectiveInference Tools for Post-Selection Inference | 1.2.5 |
selectr Translate CSS Selectors to XPath Expressions | 0.4-2 |
sem Structural Equation Models | 3.1-15 |
semantic.assets Assets for 'shiny.semantic' | 1.1.0 |
semiArtificial Generator of Semi-Artificial Data | 2.4.1 |
SemiPar Semiparametic Regression | 1.0-4.2 |
semPlot Path Diagrams and Visual Analysis of Various SEM Packages' Output | 1.1.6 |
semTools Useful Tools for Structural Equation Modeling | 0.5-6 |
semver 'Semantic Versioning V2.0.0' Parser | 0.2.0 |
sendmailR Send Email Using R | 1.4-0 |
sensitivity Global Sensitivity Analysis of Model Outputs and Importance Measures | 1.30.1 |
sensitivity2x2xk Sensitivity Analysis for 2x2xk Tables in Observational Studies | 1.01 |
sensitivitymult Sensitivity Analysis for Observational Studies with Multiple Outcomes | 1.0.2 |
sensitivitymv Sensitivity Analysis in Observational Studies | 1.4.3 |
SensoMineR Sensory Data Analysis | 1.27 |
senstrat Sensitivity Analysis for Stratified Observational Studies | 1.0.3 |
SentimentAnalysis Dictionary-Based Sentiment Analysis | 1.3-5 |
sentimentr Calculate Text Polarity Sentiment | 2.9.0 |
separationplot Separation Plots | 1.4 |
seqHMM Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series | 1.2.6 |
seqinr Biological Sequences Retrieval and Analysis | 4.2-36 |
seqLogo | 1.72.0 |
seqminer Efficiently Read Sequence Data (VCF Format, BCF Format, METAL Format and BGEN Format) into R | 9.7 |
serial The Serial Interface Package | 3.0 |
seriation Infrastructure for Ordering Objects Using Seriation | 1.5.7 |
servr A Simple HTTP Server to Serve Static Files or Dynamic Documents | 0.32 |
SESraster Raster Randomization for Null Hypothesis Testing | 0.7.1 |
sessioninfo R Session Information | 1.2.2 |
set Set Operation | 1.2 |
setRNG Set (Normal) Random Number Generator and Seed | 2024.2-1 |
sets Sets, Generalized Sets, Customizable Sets and Intervals | 1.0-25 |
settings Software Option Settings Manager for R | 0.2.7 |
Seurat Tools for Single Cell Genomics | 5.1.0 |
SeuratObject Data Structures for Single Cell Data | 5.0.2 |
sf Simple Features for R | 1.0-19 |
sfaR Stochastic Frontier Analysis Routines | 1.0.1 |
sfd Space-Filling Design Library | 0.1.0 |
sfheaders Converts Between R Objects and Simple Feature Objects | 0.4.4 |
sfnetworks Tidy Geospatial Networks | 0.6.5 |
sfsmisc Utilities from 'Seminar fuer Statistik' ETH Zurich | 1.1-20 |
sftime Classes and Methods for Simple Feature Objects that Have a Time Column | 0.3.0 |
sgeostat An Object-Oriented Framework for Geostatistical Modeling in S+ | 1.0-27 |
SGL Fit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization | 1.3 |
sgraph Network Visualization Using 'sigma.js' | 1.1.0 |
sgs Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control | 0.3.2 |
shades Simple Colour Manipulation | 1.4.0 |
shadowtext Shadow Text Grob and Layer | 0.1.4 |
shape Functions for Plotting Graphical Shapes, Colors | 1.4.6.1 |
shapefiles Read and Write ESRI Shapefiles | 0.7.2 |
shapes Statistical Shape Analysis | 1.2.7 |
SHAPforxgboost SHAP Plots for 'XGBoost' | 0.1.3 |
ShapleyValue Shapley Value Regression for Relative Importance of Attributes | 0.2.0 |
shapr Prediction Explanation with Dependence-Aware Shapley Values | 0.2.2 |
shazam Immunoglobulin Somatic Hypermutation Analysis | 1.2.0 |
SHELF Tools to Support the Sheffield Elicitation Framework | 1.11.0 |
ShiftConvolvePoibin Exactly Computing the Tail of the Poisson-Binomial Distribution | 1.0.0 |
shinipsum Lorem-Ipsum-Like Helpers for Fast Shiny Prototyping | 0.1.1 |
shiny Web Application Framework for R | 1.10.0 |
shiny.i18n Shiny Applications Internationalization | 0.3.0 |
shiny.semantic Semantic UI Support for Shiny | 0.5.1 |
shinyAce Ace Editor Bindings for Shiny | 0.4.3 |
shinyalert Easily Create Pretty Popup Messages (Modals) in 'Shiny' | 3.1.0 |
shinybrowser Find Out Information About a User's Web Browser in 'Shiny' | 1.0.0 |
shinyBS Twitter Bootstrap Components for Shiny | 0.61.1 |
shinybusy Busy Indicators and Notifications for 'Shiny' Applications | 0.3.3 |
shinycssloaders Add Loading Animations to a 'shiny' Output While It's Recalculating | 1.1.0 |
shinycustomloader Custom Loader for Shiny Outputs | 0.9.0 |
shinydashboard Create Dashboards with 'Shiny' | 0.7.2 |
shinydashboardPlus Add More 'AdminLTE2' Components to 'shinydashboard' | 2.0.5 |
shinydisconnect Show a Nice Message When a 'Shiny' App Disconnects or Errors | 0.1.1 |
shinyFeedback Display User Feedback in Shiny Apps | 0.4.0 |
shinyFiles A Server-Side File System Viewer for Shiny | 0.9.3 |
shinyhelper Easily Add Markdown Help Files to 'shiny' App Elements | 0.3.2 |
ShinyItemAnalysis Test and Item Analysis via Shiny | 1.5.2 |
shinyjqui 'jQuery UI' Interactions and Effects for Shiny | 0.4.1 |
shinyjs Easily Improve the User Experience of Your Shiny Apps in Seconds | 2.1.0 |
shinyLP Bootstrap Landing Home Pages for Shiny Applications | 1.1.3 |
shinymaterial Implement Material Design in Shiny Applications | 1.2.0 |
shinyMatrix Shiny Matrix Input Field | 0.8.0 |
shinymeta Export Domain Logic from Shiny using Meta-Programming | 0.2.0.3 |
shinyMobile Mobile Ready 'shiny' Apps with Standalone Capabilities | 2.0.1 |
shinyscreenshot Capture Screenshots of Entire Pages or Parts of Pages in 'Shiny' | 0.2.1 |
shinystan Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models | 2.6.0 |
shinythemes Themes for Shiny | 1.2.0 |
shinyTime A Time Input Widget for Shiny | 1.0.3 |
shinytoastr Notifications from 'Shiny' | 2.2.0 |
shinyTree jsTree Bindings for Shiny | 0.3.1 |
shinyWidgets Custom Inputs Widgets for Shiny | 0.8.7 |
ShortRead | 1.64.0 |
shotGroups Analyze Shot Group Data | 0.8.2 |
showimage Show an Image on an 'R' Graphics Device | 1.0.0 |
showtext Using Fonts More Easily in R Graphs | 0.9-7 |
showtextdb Font Files for the 'showtext' Package | 3.0 |
SHT Statistical Hypothesis Testing Toolbox | 0.1.8 |
SIBER Stable Isotope Bayesian Ellipses in R | 2.1.9 |
sidrar An Interface to IBGE's SIDRA API | 0.2.9 |
sig Print Function Signatures | 0.0-6 |
siggenes | 1.80.0 |
sigmoid Sigmoid Functions for Machine Learning | 1.4.0 |
signal Signal Processing | 1.8-1 |
signatureSearch | 1.20.0 |
signatureSearchData | 1.20.0 |
sigr Succinct and Correct Statistical Summaries for Reports | 1.1.5 |
SIHR Statistical Inference in High Dimensional Regression | 2.1.0 |
SILGGM Statistical Inference of Large-Scale Gaussian Graphical Model in Gene Networks | 1.0.0 |
Sim.DiffProc Simulation of Diffusion Processes | 4.9 |
simcdm Simulate Cognitive Diagnostic Model ('CDM') Data | 0.1.2 |
SimComp Simultaneous Comparisons for Multiple Endpoints | 3.3 |
SimCorMultRes Simulates Correlated Multinomial Responses | 1.9.0 |
simctest Safe Implementation of Monte Carlo Tests | 2.6.1 |
simdata Generate Simulated Datasets | 0.4.1 |
SimDesign Structure for Organizing Monte Carlo Simulation Designs | 2.18 |
simest Constrained Single Index Model Estimation | 0.4 |
simex SIMEX- And MCSIMEX-Algorithm for Measurement Error Models | 1.8 |
simitation Simplified Simulations | 0.0.7 |
simlandr Simulation-Based Landscape Construction for Dynamical Systems | 0.3.1 |
SimMultiCorrData Simulation of Correlated Data with Multiple Variable Types | 0.2.2 |
simpleboot Simple Bootstrap Routines | 1.1-8 |
SimplicialCubature Integration of Functions Over Simplices | 1.3 |
simstandard Generate Standardized Data | 0.6.3 |
simStateSpace Simulate Data from State Space Models | 1.2.3 |
simstudy Simulation of Study Data | 0.8.1 |
simsurv Simulate Survival Data | 1.0.0 |
SimSurvNMarker Simulate Survival Time and Markers | 0.1.3 |
simts Time Series Analysis Tools | 0.2.2 |
simukde Simulation with Kernel Density Estimation | 1.3.0 |
SingleCellExperiment | 1.28.1 |
singscore | 1.26.0 |
sirt Supplementary Item Response Theory Models | 4.1-15 |
SIS Sure Independence Screening | 0.8-8 |
sitar Super Imposition by Translation and Rotation Growth Curve Analysis | 1.4.0 |
sitmo Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files | 2.0.2 |
SiZer Significant Zero Crossings | 0.1-8 |
sjlabelled Labelled Data Utility Functions | 1.2.0 |
sjmisc Data and Variable Transformation Functions | 2.8.10 |
sjPlot Data Visualization for Statistics in Social Science | 2.8.17 |
sjstats Collection of Convenient Functions for Common Statistical Computations | 0.19.0 |
SKAT SNP-Set (Sequence) Kernel Association Test | 2.2.5 |
skellam Densities and Sampling for the Skellam Distribution | 0.2.3 |
SkewHyperbolic The Skew Hyperbolic Student t-Distribution | 0.4-2 |
skewt The Skewed Student-t Distribution | 1.0 |
skimr Compact and Flexible Summaries of Data | 2.1.5 |
skmeans Spherical k-Means Clustering | 0.2-18 |
slam Sparse Lightweight Arrays and Matrices | 0.1-55 |
SLBDD Statistical Learning for Big Dependent Data | 0.0.4 |
SLHD Maximin-Distance (Sliced) Latin Hypercube Designs | 2.1-1 |
slider Sliding Window Functions | 0.3.2 |
slippymath Slippy Map Tile Tools | 0.3.1 |
SLOPE Sorted L1 Penalized Estimation | 0.5.1 |
slouch Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses | 2.1.5 |
slowraker A Slow Version of the Rapid Automatic Keyword Extraction (RAKE) Algorithm | 0.1.1 |
sm Smoothing Methods for Nonparametric Regression and Density Estimation | 2.2-6.0 |
smaa Stochastic Multi-Criteria Acceptability Analysis | 0.3-3 |
smacof Multidimensional Scaling | 2.1-7 |
smacofx Flexible Multidimensional Scaling and 'smacof' Extensions | 1.6-1 |
smallstuff Dr. Small's Functions | 1.0.3 |
SmarterPoland Tools for Accessing Various Datasets Developed by the Foundation SmarterPoland.pl | 1.8.1 |
smcfcs Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification | 1.9.1 |
smcure Fit Semiparametric Mixture Cure Models | 2.1 |
smerc Statistical Methods for Regional Counts | 1.8.4 |
smoof Single and Multi-Objective Optimization Test Functions | 1.6.0.3 |
smooth Forecasting Using State Space Models | 4.1.0 |
smoother Functions Relating to the Smoothing of Numerical Data | 1.3 |
smoothmest Smoothed M-Estimators for 1-Dimensional Location | 0.1-3 |
smoothr Smooth and Tidy Spatial Features | 1.0.1 |
smoothSurv Survival Regression with Smoothed Error Distribution | 2.6 |
smoots Nonparametric Estimation of the Trend and Its Derivatives in TS | 1.1.4 |
smotefamily A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE | 1.4.0 |
SMPracticals Practicals for Use with Davison (2003) Statistical Models | 1.4-3.1 |
SMR Externally Studentized Midrange Distribution | 2.1.0 |
SMVar Structural Model for Variances | 1.3.4 |
sn The Skew-Normal and Related Distributions Such as the Skew-t and the SUN | 2.1.1 |
sna Tools for Social Network Analysis | 2.8 |
snakecase Convert Strings into any Case | 0.11.1 |
SNFtool Similarity Network Fusion | 2.3.1 |
snow Simple Network of Workstations | 0.4-4 |
SnowballC Snowball Stemmers Based on the C 'libstemmer' UTF-8 Library | 0.7.1 |
snowfall Easier Cluster Computing (Based on 'snow') | 1.84-6.3 |
SNPassoc SNPs-Based Whole Genome Association Studies | 2.1-2 |
SNPRelate Parallel Computing Toolset for Genome-Wide Association Studies (GWAS) | 1.40.0 |
snpStats | 1.56.0 |
sodium A Modern and Easy-to-Use Crypto Library | 1.3.2 |
softImpute Matrix Completion via Iterative Soft-Thresholded SVD | 1.4-1 |
SoilHyP Soil Hydraulic Properties | 0.1.7 |
solartime Utilities Dealing with Solar Time Such as Sun Position and Time of Sunrise | 0.0.4 |
solitude An Implementation of Isolation Forest | 1.1.3 |
solrium General Purpose R Interface to 'Solr' | 1.2.0 |
SolveSAPHE Solver Suite for Alkalinity-PH Equations | 2.1.0 |
som Self-Organizing Map | 0.3-5.2 |
soma General-Purpose Optimisation with the Self-Organising Migrating Algorithm | 1.2.0 |
someMTP Some Multiple Testing Procedures | 1.4.1.1 |
sommer Solving Mixed Model Equations in R | 4.3.6 |
SOP Generalised Additive P-Spline Regression Models Estimation | 1.0-1 |
SOPC The Sparse Online Principal Component Estimation Algorithm | 0.1.0 |
sortable Drag-and-Drop in 'shiny' Apps with 'SortableJS' | 0.5.0 |
sos Search Contributed R Packages, Sort by Package | 2.1-8 |
soundgen Sound Synthesis and Acoustic Analysis | 2.7.1 |
sourcetools Tools for Reading, Tokenizing and Parsing R Code | 0.1.7-1 |
sp Classes and Methods for Spatial Data | 2.1-4 |
spacefillr Space-Filling Random and Quasi-Random Sequences | 0.3.3 |
spacesRGB Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ and Lab | 1.6-1 |
spacesXYZ CIE XYZ and some of Its Derived Color Spaces | 1.3-0 |
spacetime Classes and Methods for Spatio-Temporal Data | 1.3-2 |
spacyr Wrapper to the 'spaCy' 'NLP' Library | 1.3.0 |
spam SPArse Matrix | 2.11-0 |
spam64 64-Bit Extension of the SPArse Matrix R Package 'spam' | 2.10-0 |
spaMM Mixed-Effect Models, with or without Spatial Random Effects | 4.5.0 |
sparcl Perform Sparse Hierarchical Clustering and Sparse K-Means Clustering | 1.0.4 |
sparkline 'jQuery' Sparkline 'htmlwidget' | 2.0 |
sparklyr R Interface to Apache Spark | 1.8.6 |
sparr Spatial and Spatiotemporal Relative Risk | 2.3-15 |
SparseArray | 1.6.0 |
SparseChol Sparse Matrix C++ Classes Including Sparse Cholesky LDL Decomposition of Symmetric Matrices | 0.3.2 |
sparseFLMM Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data | 0.4.1 |
sparsegl Sparse Group Lasso | 1.1.1 |
SparseGrid Sparse grid integration in R | 0.8.2 |
sparseinv Computation of the Sparse Inverse Subset | 0.1.3 |
sparseLDA Sparse Discriminant Analysis | 0.1-9 |
sparseLRMatrix Represent and Use Sparse + Low Rank Matrices | 0.1.0 |
SparseM Sparse Linear Algebra | 1.84-2 |
sparseMatrixStats | 1.18.0 |
sparseMVN Multivariate Normal Functions for Sparse Covariance and Precision Matrices | 0.2.2 |
sparsenet Fit Sparse Linear Regression Models via Nonconvex Optimization | 1.7 |
sparsepca Sparse Principal Component Analysis (SPCA) | 0.1.2 |
sparsesvd Sparse Truncated Singular Value Decomposition (from 'SVDLIBC') | 0.2-2 |
sparsevar Sparse VAR/VECM Models Estimation | 0.1.0 |
SparseVFC Sparse Vector Field Consensus for Vector Field Learning | 0.1.2 |
SPAS Stratified-Petersen Analysis System | 2024.1.31 |
SpatEntropy Spatial Entropy Measures | 2.2-4 |
SPAtest Score Test and Meta-Analysis Based on Saddlepoint Approximation | 3.1.2 |
spatial Functions for Kriging and Point Pattern Analysis | 7.3-17 |
SpatialBSS Blind Source Separation for Multivariate Spatial Data | 0.14-0 |
spatialCovariance Computation of Spatial Covariance Matrices for Data on Rectangles | 0.6-9 |
spatialEco Spatial Analysis and Modelling Utilities | 2.0-2 |
SpatialExperiment | 1.16.0 |
SpatialNP Multivariate Nonparametric Methods Based on Spatial Signs and Ranks | 1.1-5 |
spatialreg Spatial Regression Analysis | 1.3-6 |
SpatialTools Tools for Spatial Data Analysis | 1.0.5 |
spatialwidget Formats Spatial Data for Use in Htmlwidgets | 0.2.5 |
SpATS Spatial Analysis of Field Trials with Splines | 1.0-19 |
spatstat Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests | 3.3-0 |
spatstat.data Datasets for 'spatstat' Family | 3.1-4 |
spatstat.explore Exploratory Data Analysis for the 'spatstat' Family | 3.3-3 |
spatstat.geom Geometrical Functionality of the 'spatstat' Family | 3.3-4 |
spatstat.linnet Linear Networks Functionality of the 'spatstat' Family | 3.2-3 |
spatstat.model Parametric Statistical Modelling and Inference for the 'spatstat' Family | 3.3-3 |
spatstat.random Random Generation Functionality for the 'spatstat' Family | 3.3-2 |
spatstat.sparse Sparse Three-Dimensional Arrays and Linear Algebra Utilities | 3.1-0 |
spatstat.univar One-Dimensional Probability Distribution Support for the 'spatstat' Family | 3.1-1 |
spatstat.utils Utility Functions for 'spatstat' | 3.1-1 |
spbabel Convert Spatial Data Using Tidy Tables | 0.6.0 |
spBayes Univariate and Multivariate Spatial-Temporal Modeling | 0.4-8 |
spc Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures | 0.6.7 |
spd Semi Parametric Distribution | 2.0-1 |
spData Datasets for Spatial Analysis | 2.3.3 |
spdep Spatial Dependence: Weighting Schemes, Statistics | 1.3-8 |
spec A Data Specification Format and Interface | 0.1.9 |
SpecsVerification Forecast Verification Routines for Ensemble Forecasts of Weather and Climate | 0.5-3 |
spectacles Storing, Manipulating and Analysis Spectroscopy and Associated Data | 0.5-4 |
spectral Common Methods of Spectral Data Analysis | 2.0 |
spectralGraphTopology Learning Graphs from Data via Spectral Constraints | 0.2.3 |
Spectrum Fast Adaptive Spectral Clustering for Single and Multi-View Data | 1.1 |
speedglm Fitting Linear and Generalized Linear Models to Large Data Sets | 0.3-5 |
SPEI Calculation of the Standardized Precipitation-Evapotranspiration Index | 1.8.1 |
spelling Tools for Spell Checking in R | 2.3.1 |
spgwr Geographically Weighted Regression | 0.6-37 |
SphericalCubature Numerical Integration over Spheres and Balls in n-Dimensions; Multivariate Polar Coordinates | 1.5 |
sphunif Uniformity Tests on the Circle, Sphere, and Hypersphere | 1.4.0 |
spider Species Identity and Evolution in R | 1.5.0 |
spiderbar Parse and Test Robots Exclusion Protocol Files and Rules | 0.2.5 |
spikeslab Prediction and Variable Selection Using Spike and Slab Regression | 1.1.6 |
spikeSlabGAM Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models | 1.1-20 |
spinifex Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data | 0.3.7.0 |
splancs Spatial and Space-Time Point Pattern Analysis | 2.01-45 |
| 4.4.2 | |
splines2 Regression Spline Functions and Classes | 0.5.3 |
splitfngr Combined Evaluation and Split Access of Functions | 0.1.2 |
splitstackshape Stack and Reshape Datasets After Splitting Concatenated Values | 1.4.8 |
splitTools Tools for Data Splitting | 1.0.1 |
spls Sparse Partial Least Squares (SPLS) Regression and Classification | 2.2-3 |
splus2R Supplemental S-PLUS Functionality in R | 1.3-5 |
splusTimeDate Times and Dates from 'S-PLUS' | 2.5.8 |
splusTimeSeries Time Series from 'S-PLUS' | 1.5.7 |
spMaps Europe SpatialPolygonsDataFrame Builder | 0.5.0 |
spocc Interface to Species Occurrence Data Sources | 1.2.3 |
spray Sparse Arrays and Multivariate Polynomials | 1.0-26 |
spsComps 'systemPipeShiny' UI and Server Components | 0.3.3.0 |
spsurvey Spatial Sampling Design and Analysis | 5.5.1 |
spsUtil 'systemPipeShiny' Utility Functions | 0.2.2 |
spTDyn Spatially Varying and Spatio-Temporal Dynamic Linear Models | 2.0.3 |
spThin Functions for Spatial Thinning of Species Occurrence Records for Use in Ecological Models | 0.2.0 |
spTimer Spatio-Temporal Bayesian Modelling | 3.3.3 |
sqldf Manipulate R Data Frames Using SQL | 0.4-11 |
SqlRender Rendering Parameterized SQL and Translation to Dialects | 1.19.1 |
SQN Subset Quantile Normalization | 1.0.6 |
SQUAREM Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms | 2021.1 |
squash Color-Based Plots for Multivariate Visualization | 1.0.9 |
srlars Split Robust Least Angle Regression | 1.0.1 |
SRS Scaling with Ranked Subsampling | 0.2.3 |
srvyr 'dplyr'-Like Syntax for Summary Statistics of Survey Data | 1.3.0 |
ssanv Sample Size Adjusted for Nonadherence or Variability of Input Parameters | 1.1 |
SSBtools Statistics Norway's Miscellaneous Tools | 1.6.0 |
SSEparser Parse Server-Sent Events | 0.1.0 |
ssh Secure Shell (SSH) Client for R | 0.9.3 |
ssmn Skew Scale Mixtures of Normal Distributions | 1.1 |
SSP Simulated Sampling Procedure for Community Ecology | 1.0.1 |
ssym Fitting Semi-Parametric log-Symmetric Regression Models | 1.5.8 |
st Shrinkage t Statistic and Correlation-Adjusted t-Score | 1.2.7 |
stable Probability Functions and Generalized Regression Models for Stable Distributions | 1.1.6 |
stabledist Stable Distribution Functions | 0.7-2 |
StableEstim Estimate the Four Parameters of Stable Laws using Different Methods | 2.3 |
stabm Stability Measures for Feature Selection | 1.2.2 |
stabs Stability Selection with Error Control | 0.6-4 |
staggered Efficient Estimation Under Staggered Treatment Timing | 1.2.1 |
StAMPP Statistical Analysis of Mixed Ploidy Populations | 1.6.3 |
standardize Tools for Standardizing Variables for Regression in R | 0.2.2 |
StanHeaders C++ Header Files for Stan | 2.32.10 |
stargazer Well-Formatted Regression and Summary Statistics Tables | 5.2.3 |
stars Spatiotemporal Arrays, Raster and Vector Data Cubes | 0.6-7 |
starschemar Obtaining Stars from Flat Tables | 1.2.5 |
starsExtra Miscellaneous Functions for Working with 'stars' Rasters | 0.2.8 |
startR Automatically Retrieve Multidimensional Distributed Data Sets | 2.4.0 |
startupmsg Utilities for Start-Up Messages | 0.9.7 |
statar Tools Inspired by 'Stata' to Manipulate Tabular Data | 0.7.6 |
statgenSTA Single Trial Analysis (STA) of Field Trials | 1.0.14 |
statip Statistical Functions for Probability Distributions and Regression | 0.2.3 |
statisfactory Statistical and Geometrical Tools | 1.0.4 |
StatMatch Statistical Matching or Data Fusion | 1.4.2 |
statmod Statistical Modeling | 1.5.0 |
statnet.common Common R Scripts and Utilities Used by the Statnet Project Software | 4.10.0 |
statpsych Statistical Methods for Psychologists | 1.6.0 |
StatRank Statistical Rank Aggregation: Inference, Evaluation, and Visualization | 0.0.6 |
stats | 4.4.2 |
stats4 | 4.4.2 |
statsExpressions Tidy Dataframes and Expressions with Statistical Details | 1.6.2 |
stddiff Calculate the Standardized Difference for Numeric, Binary and Category Variables | 3.1 |
stdReg Regression Standardization | 3.4.1 |
StempCens Spatio-Temporal Estimation and Prediction for Censored/Missing Responses | 1.1.0 |
StepwiseTest Multiple Testing Method to Control Generalized Family-Wise Error Rate and False Discovery Proportion | 1.0 |
stevemisc Steve's Miscellaneous Functions | 1.8.0 |
sticky Persist Attributes Across Data Operations | 0.5.6.1 |
stickyr Data Frames with Persistent Columns and Attributes | 0.1.2 |
stinepack Stineman, a Consistently Well Behaved Method of Interpolation | 1.5 |
stlplus Enhanced Seasonal Decomposition of Time Series by Loess | 0.5.1 |
stm Estimation of the Structural Topic Model | 1.3.7 |
StMoMo Stochastic Mortality Modelling | 0.4.1 |
stochvol Efficient Bayesian Inference for Stochastic Volatility (SV) Models | 3.2.5 |
stoichcalc R Functions for Solving Stoichiometric Equations | 1.1-5 |
stopwords Multilingual Stopword Lists | 2.3 |
storr Simple Key Value Stores | 1.2.5 |
stplanr Sustainable Transport Planning | 1.2.2 |
stR Seasonal Trend Decomposition Using Regression | 0.7 |
stranslate Simple Translation Between Different Languages | 0.1.3 |
strap Stratigraphic Tree Analysis for Palaeontology | 1.6-1 |
StratigrapheR Integrated Stratigraphy | 1.3.1 |
stray Anomaly Detection in High Dimensional and Temporal Data | 0.1.1 |
stream Infrastructure for Data Stream Mining | 2.0-2 |
streamR Access to Twitter Streaming API via R | 0.4.5 |
strex Extra String Manipulation Functions | 2.0.1 |
STRINGdb | 2.18.0 |
stringdist Approximate String Matching, Fuzzy Text Search, and String Distance Functions | 0.9.14 |
stringfish Alt String Implementation | 0.16.0 |
stringi Fast and Portable Character String Processing Facilities | 1.8.4 |
stringmagic Character String Operations and Interpolation, Magic Edition | 1.1.2 |
stringr Simple, Consistent Wrappers for Common String Operations | 1.5.1 |
striprtf Extract Text from RTF File | 0.6.0 |
strucchange Testing, Monitoring, and Dating Structural Changes | 1.5-4 |
strucchangeRcpp Testing, Monitoring, and Dating Structural Changes: C++ Version | 1.5-4-1.0.0 |
styler Non-Invasive Pretty Printing of R Code | 1.10.3 |
subplex Unconstrained Optimization using the Subplex Algorithm | 1.9 |
sugrrants Supporting Graphs for Analysing Time Series | 0.2.9 |
SummarizedExperiment | 1.36.0 |
summarytools Tools to Quickly and Neatly Summarize Data | 1.0.1 |
summclust Module to Compute Influence and Leverage Statistics for Regression Models with Clustered Errors | 0.7.2 |
sunburstR Sunburst 'Htmlwidget' | 2.1.8 |
suncalc Compute Sun Position, Sunlight Phases, Moon Position and Lunar Phase | 0.5.1 |
suntools Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight | 1.0.1 |
superb Summary Plots with Adjusted Error Bars | 0.95.19 |
superbiclust Generating Robust Biclusters from a Bicluster Set (Ensemble Biclustering) | 1.2 |
superdiag A Comprehensive Test Suite for Testing Markov Chain Nonconvergence | 2.0 |
SuperGauss Superfast Likelihood Inference for Stationary Gaussian Time Series | 2.0.3 |
superheat A Graphical Tool for Exploring Complex Datasets Using Heatmaps | 0.1.0 |
SuperLearner Super Learner Prediction | 2.0-29 |
supernova Judd, McClelland, & Ryan Formatting for ANOVA Output | 3.0.0 |
superpc Supervised Principal Components | 1.12 |
SuppDists Supplementary Distributions | 1.1-9.8 |
support.BWS Tools for Case 1 Best-Worst Scaling | 0.4-6 |
support.BWS2 Tools for Case 2 Best-Worst Scaling | 0.4-0 |
support.BWS3 Tools for Case 3 Best-Worst Scaling | 0.2-1 |
support.CEs Basic Functions for Supporting an Implementation of Choice Experiments | 0.7-0 |
sure Surrogate Residuals for Ordinal and General Regression Models | 0.2.0 |
survAUC Estimators of Prediction Accuracy for Time-to-Event Data | 1.3-0 |
survC1 C-Statistics for Risk Prediction Models with Censored Survival Data | 1.0-3 |
survcomp Performance Assessment and Comparison for Survival Analysis | 1.56.0 |
surveillance Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena | 1.24.1 |
survey Analysis of Complex Survey Samples | 4.4-2 |
surveyplanning Survey Planning Tools | 4.0 |
survival Survival Analysis | 3.7-0 |
survivalROC Time-Dependent ROC Curve Estimation from Censored Survival Data | 1.0.3.1 |
survminer Drawing Survival Curves using 'ggplot2' | 0.5.0 |
survMisc Miscellaneous Functions for Survival Data | 0.5.6 |
survML Tools for Flexible Survival Analysis Using Machine Learning | 1.2.0 |
survPresmooth Presmoothed Estimation in Survival Analysis | 1.1-11 |
SurvRegCensCov Weibull Regression for a Right-Censored Endpoint with Interval-Censored Covariate | 1.7 |
survRM2 Comparing Restricted Mean Survival Time | 1.0-4 |
susieR Sum of Single Effects Linear Regression | 0.12.35 |
sva | 3.54.0 |
svd Interfaces to Various State-of-Art SVD and Eigensolvers | 0.5.7 |
svDialogs 'SciViews' - Standard Dialog Boxes for Windows, MacOS and Linuxes | 1.1.0 |
svglite An 'SVG' Graphics Device | 2.1.3 |
svGUI SciViews - Manage GUIs in R | 1.0.1 |
svMisc Miscellaneous Functions for 'SciViews::R' | 1.4.3 |
svmpath The SVM Path Algorithm | 0.970 |
svrep Tools for Creating, Updating, and Analyzing Survey Replicate Weights | 0.6.4 |
svUnit 'SciViews' - Unit, Integration and System Testing | 1.0.6 |
svyVGAM Design-Based Inference in Vector Generalised Linear Models | 1.2 |
swa Subsampling Winner Algorithm for Classification | 0.8.1 |
swag Sparse Wrapper Algorithm | 0.1.0 |
swagger Dynamically Generates Documentation from a 'Swagger' Compliant API | 5.17.14.1 |
swamp Visualization, Analysis and Adjustment of High-Dimensional Data in Respect to Sample Annotations | 1.5.1 |
swaprinc Swap Principal Components into Regression Models | 1.0.1 |
swaRm Processing Collective Movement Data | 0.6.0 |
swaRmverse Swarm Space Creation | 0.1.1 |
swatches Read, Inspect, and Manipulate Color Swatch Files | 0.5.0 |
swCRTdesign Stepped Wedge Cluster Randomized Trial (SW CRT) Design | 4.0 |
swdft Sliding Window Discrete Fourier Transform (SWDFT) | 1.0.0 |
swdpwr Power Calculation for Stepped Wedge Cluster Randomized Trials | 1.11 |
sweater Speedy Word Embedding Association Test and Extras Using R | 0.1.8 |
sweep Tidy Tools for Forecasting | 0.2.5 |
SweepDiscovery Selective Sweep Discovery Tool | 0.1.1 |
sweidnumbr Handling of Swedish Identity Numbers | 1.5.0 |
swephR High Precision Swiss Ephemeris | 0.3.1 |
swfscAirDAS Southwest Fisheries Science Center Aerial DAS Data Processing | 0.3.1 |
swfscDAS Processing DAS Data Files | 0.6.3 |
swfscMisc Miscellaneous Functions for Southwest Fisheries Science Center | 1.6.5 |
swgee Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations | 1.4 |
SWIM Scenario Weights for Importance Measurement | 1.0.0 |
SwimmeR Data Import, Cleaning, and Conversions for Swimming Results | 0.14.2 |
swimplot Tools for Creating Swimmers Plots using 'ggplot2' | 1.2.0 |
swipeR Carousels using the 'JavaScript' Library 'Swiper' | 1.1.0 |
swirl Learn R, in R | 2.4.5 |
swirlify A Toolbox for Writing 'swirl' Courses | 0.5.3 |
SwissAir Air Quality Data of Switzerland for One Year in 30 Min Resolution | 1.1.6 |
swissparl Interface to the Webservices of the Swiss Parliament | 0.2.2 |
switchboard An Agile Widget Engine for Real-Time, Dynamic Visualizations | 0.1 |
switchcase A Simple and Flexible Switch-Case Construct for the 'R' Language | 0.1.1 |
switchr Installing, Managing, and Switching Between Distinct Sets of Installed Packages | 0.14.8 |
switchSelection Endogenous Switching and Sample Selection Regression Models | 2.0.0 |
SWMPr Retrieving, Organizing, and Analyzing Estuary Monitoring Data | 2.5.1 |
SWMPrExtension Functions for Analyzing and Plotting Estuary Monitoring Data | 2.2.5.1 |
SWTools Helper Tools for Australian Hydrologists | 1.1.0 |
sylly Hyphenation and Syllable Counting for Text Analysis | 0.1-6 |
sylly.en Language Support for 'sylly' Package: English | 0.1-3 |
symbolicDA Analysis of Symbolic Data | 0.7-1 |
symDMatrix Partitioned Symmetric Matrices | 2.1.1 |
symengine Interface to the 'SymEngine' Library | 0.2.6 |
symmoments Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution | 1.2.1 |
syn Creates Synonyms From Target Words | 0.1.0 |
synchronicity Boost Mutex Functionality in R | 1.3.10 |
SynchWave Synchrosqueezed Wavelet Transform | 1.1.2 |
SYNCSA Analysis of Functional and Phylogenetic Patterns in Metacommunities | 1.3.4 |
synthesisr Import, Assemble, and Deduplicate Bibliographic Datasets | 0.3.0 |
SynthETIC Synthetic Experience Tracking Insurance Claims | 1.1.0 |
sys Powerful and Reliable Tools for Running System Commands in R | 3.4.3 |
sysfonts Loading Fonts into R | 0.8.9 |
systemfit Estimating Systems of Simultaneous Equations | 1.1-30 |
systemfonts System Native Font Finding | 1.1.0 |
syuzhet Extracts Sentiment and Sentiment-Derived Plot Arcs from Text | 1.0.7 |
T4cluster Tools for Cluster Analysis | 0.1.2 |
tab Create Summary Tables for Statistical Reports | 5.1.1 |
table1 Tables of Descriptive Statistics in HTML | 1.4.3 |
tableone Create 'Table 1' to Describe Baseline Characteristics with or without Propensity Score Weights | 0.13.2 |
tables Formula-Driven Table Generation | 0.9.31 |
tabshiftr Reshape Disorganised Messy Data | 0.4.1 |
tabulapdf Extract Tables from PDF Documents | 1.0.5-5 |
tagcloud Tag Clouds | 0.6 |
TailRank The Tail-Rank Statistic | 3.2.2 |
TAM Test Analysis Modules | 4.2-21 |
tanaka Design Shaded Contour Lines (or Tanaka) Maps | 0.4.0 |
targeted Targeted Inference | 0.5 |
Tariff Replicate Tariff Method for Verbal Autopsy | 1.0.5 |
tau Text Analysis Utilities | 0.0-26 |
taxadb A High-Performance Local Taxonomic Database Interface | 0.2.1 |
taxize Taxonomic Information from Around the Web | 0.9.100.1 |
taxlist Handling Taxonomic Lists | 0.3.0 |
taxonomizr Functions to Work with NCBI Accessions and Taxonomy | 0.10.6 |
tbl2xts Convert Tibbles or Data Frames to Xts Easily | 1.0.4 |
TCGAbiolinks | 2.34.0 |
TCGAbiolinksGUI.data | 1.26.0 |
tcltk Basic interface with tcl/tk | 4.4.2 |
tcltk2 Tcl/Tk Additions | 1.2-11 |
TDA Statistical Tools for Topological Data Analysis | 1.9.1 |
TDAstats Pipeline for Topological Data Analysis | 0.4.1 |
tdata Prepare Your Time-Series Data for Further Analysis | 0.3.0 |
tdigest Wicked Fast, Accurate Quantiles Using t-Digests | 0.4.2 |
TeachingDemos Demonstrations for Teaching and Learning | 2.13 |
tealeaves Solve for Leaf Temperature Using Energy Balance | 1.0.6 |
teigen Model-Based Clustering and Classification with the Multivariate t Distribution | 2.2.2 |
telegram.bot Develop a 'Telegram Bot' with R | 3.0.0 |
Temporal Parametric Time to Event Analysis | 0.3.0.1 |
tensor Tensor product of arrays | 1.5 |
tensorA Advanced Tensor Arithmetic with Named Indices | 0.36.2.1 |
tensorflow R Interface to 'TensorFlow' | 2.16.0 |
tensorMiss Handle Missing Tensor Data with C++ Integration | 1.1.1 |
tensr Covariance Inference and Decompositions for Tensor Datasets | 1.0.1 |
tergm Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models | 4.2.1 |
term Create, Manipulate and Query Parameter Terms | 0.3.5 |
tern Create Common TLGs Used in Clinical Trials | 0.9.6 |
Ternary Create Ternary and Holdridge Plots | 2.3.3 |
terra Spatial Data Analysis | 1.8-5 |
terrainmeshr Triangulate and Simplify 3D Terrain Meshes | 0.1.0 |
TESS Diversification Rate Estimation and Fast Simulation of Reconstructed Phylogenetic Trees under Tree-Wide Time-Heterogeneous Birth-Death Processes Including Mass-Extinction Events | 2.1.2 |
tessellation Delaunay and Voronoï Tessellations | 2.3.0 |
TestDataImputation Missing Item Responses Imputation for Test and Assessment Data | 2.3 |
TestDesign Optimal Test Design Approach to Fixed and Adaptive Test Construction | 1.7.0 |
tester Tests and Checks Characteristics of R Objects | 0.2.0 |
TestFunctions Test Functions for Simulation Experiments and Evaluating Optimization and Emulation Algorithms | 0.2.2 |
testit A Simple Package for Testing R Packages | 0.13 |
testthat Unit Testing for R | 3.2.2 |
texmex Statistical Modelling of Extreme Values | 2.4.9 |
texreg Conversion of R Regression Output to LaTeX or HTML Tables | 1.39.4 |
text Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning | 1.3.0 |
text2speech Text to Speech Conversion | 1.0.0 |
text2vec Modern Text Mining Framework for R | 0.6.4 |
textclean Text Cleaning Tools | 0.9.3 |
textir Inverse Regression for Text Analysis | 2.0-5 |
textmineR Functions for Text Mining and Topic Modeling | 3.0.5 |
textplot Text Plots | 0.2.2 |
textrank Summarize Text by Ranking Sentences and Finding Keywords | 0.3.1 |
textshape Tools for Reshaping Text | 1.7.5 |
textshaping Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping | 0.4.1 |
textstem Tools for Stemming and Lemmatizing Text | 0.1.4 |
textutils Utilities for Handling Strings and Text | 0.4-1 |
tf S3 Classes and Methods for Tidy Functional Data | 0.3.4 |
tfautograph Autograph R for 'Tensorflow' | 0.3.2 |
tfdatasets Interface to 'TensorFlow' Datasets | 2.17.0 |
TFisher Optimal Thresholding Fisher's P-Value Combination Method | 0.2.0 |
tfprobability Interface to 'TensorFlow Probability' | 0.15.1 |
tfruns Training Run Tools for 'TensorFlow' | 1.5.3 |
tgamtheme Globe and Mail Graphics Theme for 'ggplot2' | 0.1.0 |
tgp Bayesian Treed Gaussian Process Models | 2.4-23 |
TH.data TH's Data Archive | 1.1-2 |
thematic Unified and Automatic 'Theming' of 'ggplot2', 'lattice', and 'base' R Graphics | 0.1.6 |
themis Extra Recipes Steps for Dealing with Unbalanced Data | 1.0.2 |
thief Temporal Hierarchical Forecasting | 0.3 |
this.path Get Executing Script's Path | 2.5.0 |
thor Interface to 'LMDB' | 1.1.6 |
threejs Interactive 3D Scatter Plots, Networks and Globes | 0.3.3 |
ThreeWay Three-Way Component Analysis | 1.1.3 |
Thresher Threshing and Reaping for Principal Components | 1.1.4 |
ThresholdROC Optimum Threshold Estimation | 2.9.4 |
threshr Threshold Selection and Uncertainty for Extreme Value Analysis | 1.0.6 |
thurstonianIRT Thurstonian IRT Models | 0.12.5 |
tibble Simple Data Frames | 3.2.1 |
tibbletime Time Aware Tibbles | 0.1.9 |
tibblify Rectangle Nested Lists | 0.3.1 |
tictoc Functions for Timing R Scripts, as Well as Implementations of "Stack" and "StackList" Structures | 1.2.1 |
TideHarmonics Harmonic Analysis of Tides | 0.1-1 |
tidybayes Tidy Data and 'Geoms' for Bayesian Models | 3.0.7 |
tidycat Expand Tidy Output for Categorical Parameter Estimates | 0.1.2 |
tidycensus Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames | 1.6.7 |
tidycmprsk Competing Risks Estimation | 1.1.0 |
tidyCpp Tidy C++ Header-Only Definitions for Parts of the C API of R | 0.0.7 |
tidyfst Tidy Verbs for Fast Data Manipulation | 1.8.1 |
tidygenomics Tidy Verbs for Dealing with Genomic Data Frames | 0.1.2 |
tidygeocoder Geocoding Made Easy | 1.0.5 |
tidygraph A Tidy API for Graph Manipulation | 1.3.1 |
tidyhydat Extract and Tidy Canadian 'Hydrometric' Data | 0.7.0 |
tidyjson Tidy Complex 'JSON' | 0.3.2 |
tidymodels Easily Install and Load the 'Tidymodels' Packages | 1.2.0 |
tidymv Tidy Model Visualisation for Generalised Additive Models | 3.4.2 |
tidync A Tidy Approach to 'NetCDF' Data Exploration and Extraction | 0.4.0 |
tidypredict Run Predictions Inside the Database | 0.5 |
tidyquant Tidy Quantitative Financial Analysis | 1.0.9 |
tidyr Tidy Messy Data | 1.3.1 |
tidyRSS Tidy RSS for R | 2.0.7 |
tidyselect Select from a Set of Strings | 1.2.1 |
tidytable Tidy Interface to 'data.table' | 0.11.2 |
tidyterra 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects | 0.6.1 |
tidytext Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools | 0.4.2 |
tidytreatment Tidy Methods for Bayesian Treatment Effect Models | 0.2.2 |
tidytree A Tidy Tool for Phylogenetic Tree Data Manipulation | 0.4.6 |
tidyverse Easily Install and Load the 'Tidyverse' | 2.0.0 |
tidyvpc VPC Percentiles and Prediction Intervals | 1.5.2 |
tidyxl Read Untidy Excel Files | 1.0.10 |
tiff Read and Write TIFF Images | 0.1-12 |
tigger Infers Novel Immunoglobulin Alleles from Sequencing Data | 1.1.0 |
tightClust Tight Clustering | 1.1 |
tigris Load Census TIGER/Line Shapefiles | 2.1 |
tikzDevice R Graphics Output in LaTeX Format | 0.12.6 |
timechange Efficient Manipulation of Date-Times | 0.3.0 |
timeDate Rmetrics - Chronological and Calendar Objects | 4041.110 |
timereg Flexible Regression Models for Survival Data | 2.0.6 |
timeROC Time-Dependent ROC Curve and AUC for Censored Survival Data | 0.4 |
timeSeries Financial Time Series Objects (Rmetrics) | 4041.111 |
timetk A Tool Kit for Working with Time Series | 2.9.0 |
TIMP Fitting Separable Nonlinear Models in Spectroscopy and Microscopy | 1.13.6 |
Tinflex A Universal Non-Uniform Random Number Generator | 2.4 |
tinylabels Lightweight Variable Labels | 0.2.4 |
tinyplot Lightweight Extension of the Base R Graphics System | 0.2.1 |
tinytable Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats | 0.6.1 |
tinytest Lightweight and Feature Complete Unit Testing Framework | 1.4.1 |
tinytex Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents | 0.54 |
tinytiger Lightweight Interface to TIGER/Line Shapefiles | 0.0.9 |
tippy Add Tooltips to 'R markdown' Documents or 'Shiny' Apps | 0.1.0 |
tis Time Indexes and Time Indexed Series | 1.39 |
titanic Titanic Passenger Survival Data Set | 0.1.0 |
tkrplot TK Rplot | 0.0-27 |
tkRplotR Display Resizable Plots | 0.1.7 |
tkWidgets | 1.84.0 |
TLMoments Calculate TL-Moments and Convert Them to Distribution Parameters | 0.7.5.3 |
tlrmvnmvt Low-Rank Methods for MVN and MVT Probabilities | 1.1.2 |
tm Text Mining Package | 0.7-15 |
tm.plugin.alceste Import Texts from Files in the 'Alceste' Format Using the 'tm' Text Mining Framework | 1.1.1 |
tm.plugin.europresse Import Articles from 'Europresse' Using the 'tm' Text Mining Framework | 1.4 |
tm.plugin.factiva Import Articles from 'Factiva' Using the 'tm' Text Mining Framework | 1.8 |
tm.plugin.lexisnexis Import Articles from 'LexisNexis' Using the 'tm' Text Mining Framework | 1.4.1 |
tmap Thematic Maps | 3.3-4 |
tmaptools Thematic Map Tools | 3.1-1 |
TMB Template Model Builder: A General Random Effect Tool Inspired by 'ADMB' | 1.9.15 |
tmbstan MCMC Sampling from 'TMB' Model Object using 'Stan' | 1.0.91 |
TmCalculator Melting Temperature of Nucleic Acid Sequences | 1.0.3 |
tmcn A Text Mining Toolkit for Chinese | 0.2-13 |
tmle Targeted Maximum Likelihood Estimation | 2.0.1.1 |
tmvmixnorm Sampling from Truncated Multivariate Normal and t Distributions | 1.1.1 |
tmvnsim Truncated Multivariate Normal Simulation | 1.0-2 |
tmvtnorm Truncated Multivariate Normal and Student t Distribution | 1.6 |
tmvtnsim Truncated Multivariate Normal and t Distribution Simulation | 0.1.3 |
tnet Weighted, Two-Mode, and Longitudinal Networks Analysis | 3.0.16 |
toastui Interactive Tables, Calendars and Charts for the Web | 0.3.4 |
tokenbrowser Create Full Text Browsers from Annotated Token Lists | 0.1.5 |
tokenizers Fast, Consistent Tokenization of Natural Language Text | 0.3.0 |
tolerance Statistical Tolerance Intervals and Regions | 3.0.0 |
toolbox List, String, and Meta Programming Utility Functions | 0.1.1 |
tools | 4.4.2 |
toOrdinal Cardinal to Ordinal Number & Date Conversion | 1.3-0.0 |
TopDom An Efficient and Deterministic Method for Identifying Topological Domains in Genomes | 0.10.1 |
topicmodels Topic Models | 0.2-17 |
topics Creating and Significance Testing Language Features for Visualisation | 0.21.0 |
TopKLists Inference, Aggregation and Visualization for Top-K Ranked Lists | 1.0.8 |
topsis TOPSIS method for multiple-criteria decision making (MCDM) | 1.0 |
torch Tensors and Neural Networks with 'GPU' Acceleration | 0.13.0 |
torchvision Models, Datasets and Transformations for Images | 0.6.0 |
tosca Tools for Statistical Content Analysis | 0.3-2 |
tourr Tour Methods for Multivariate Data Visualisation | 1.2.0 |
toweranNA A Method for Handling Missing Values in Prediction Applications | 0.1.0 |
tracerer Tracer from R | 2.2.3 |
trackdf Data Frame Class for Tracking Data | 0.3.3 |
trackeR Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices | 1.6.0 |
trade Tools for Trade Practitioners | 0.8.1 |
traineR Predictive (Classification and Regression) Models Homologator | 2.2.0 |
TrajectoryUtils | 1.14.0 |
tram Transformation Models | 1.2-0 |
TraMineR Trajectory Miner: a Sequence Analysis Toolkit | 2.2-11 |
transformr Polygon and Path Transformations | 0.1.5 |
transport Computation of Optimal Transport Plans and Wasserstein Distances | 0.15-4 |
trapezoid The Trapezoidal Distribution | 2.0-2 |
traudem Use TauDEM | 1.0.3 |
tree Classification and Regression Trees | 1.0-44 |
treebalance Computation of Tree (Im)Balance Indices | 1.2.0 |
treebase Discovery, Access and Manipulation of 'TreeBASE' Phylogenies | 0.1.5 |
TreeBUGS Hierarchical Multinomial Processing Tree Modeling | 1.5.0 |
treeClust Cluster Distances Through Trees | 1.1-7 |
TreeDist Calculate and Map Distances Between Phylogenetic Trees | 2.9.1 |
treeio | 1.30.0 |
treemap Treemap Visualization | 2.4-4 |
treemapify Draw Treemaps in 'ggplot2' | 2.5.6 |
TreeSim Simulating Phylogenetic Trees | 2.4 |
TreeTools Create, Modify and Analyse Phylogenetic Trees | 1.12.0 |
trekcolors Star Trek Color Palettes | 0.2.0 |
trend Non-Parametric Trend Tests and Change-Point Detection | 1.1.6 |
trialr Clinical Trial Designs in 'rstan' | 0.1.6 |
triangle Distribution Functions and Parameter Estimates for the Triangle Distribution | 1.0 |
triebeard 'Radix' Trees in 'Rcpp' | 0.4.1 |
TriMatch Propensity Score Matching of Non-Binary Treatments | 0.9.9 |
TripleR Social Relation Model (SRM) Analyses for Single or Multiple Groups | 1.5.4 |
TruncatedNormal Truncated Multivariate Normal and Student Distributions | 2.3 |
truncdist Truncated Random Variables | 1.0-2 |
truncnorm Truncated Normal Distribution | 1.0-9 |
truncreg Truncated Gaussian Regression Models | 0.2-5 |
trust Trust Region Optimization | 0.1-8 |
trustOptim Trust Region Optimization for Nonlinear Functions with Sparse Hessians | 0.8.7.3 |
tryCatchLog Advanced 'tryCatch()' and 'try()' Functions | 1.3.1 |
TSA Time Series Analysis | 1.3.1 |
tsbox Class-Agnostic Time Series | 0.4.2 |
TSCAN | 1.44.0 |
TSclust Time Series Clustering Utilities | 1.3.1 |
tscount Analysis of Count Time Series | 1.4.3 |
TSdeeplearning Deep Learning Model for Time Series Forecasting | 0.1.0 |
TSdist Distance Measures for Time Series Data | 3.7.1 |
tsDyn Nonlinear Time Series Models with Regime Switching | 11.0.5.2 |
tseries Time Series Analysis and Computational Finance | 0.10-58 |
tseriesChaos Analysis of Nonlinear Time Series | 0.1-13.1 |
tsfeatures Time Series Feature Extraction | 1.1.1 |
TSHRC Two Stage Hazard Rate Comparison | 0.1-6 |
tsibble Tidy Temporal Data Frames and Tools | 1.1.5 |
tsibbledata Diverse Datasets for 'tsibble' | 0.4.1 |
TSLSTM Long Short Term Memory (LSTM) Model for Time Series Forecasting | 0.1.0 |
tsModel Time Series Modeling for Air Pollution and Health | 0.6-2 |
tsna Tools for Temporal Social Network Analysis | 0.3.5 |
tsne T-Distributed Stochastic Neighbor Embedding for R (t-SNE) | 0.1-3.1 |
tsoutliers Detection of Outliers in Time Series | 0.6-10 |
TSP Traveling Salesperson Problem (TSP) | 1.2-4 |
TSPred Functions for Benchmarking Time Series Prediction | 5.1 |
tsutils Time Series Exploration, Modelling and Forecasting | 0.9.4 |
tsvio Simple Utilities for Tab-Separated-Value (TSV) Files | 1.0.6 |
TTR Technical Trading Rules | 0.24.4 |
ttutils Utility Functions | 1.0-1.1 |
tufte Tufte's Styles for R Markdown Documents | 0.13 |
TukeyGH77 Tukey g-&-h Distribution | 0.1.3 |
tune Tidy Tuning Tools | 1.2.1 |
TunePareto Multi-Objective Parameter Tuning for Classifiers | 2.5.3 |
tuneR Analysis of Music and Speech | 1.4.7 |
tuneRanger Tune Random Forest of the 'ranger' Package | 0.7 |
turboEM A Suite of Convergence Acceleration Schemes for EM, MM and Other Fixed-Point Algorithms | 2021.1 |
turner Turn Vectors and Lists of Vectors into Indexed Structures | 0.1.9 |
TurtleGraphics Turtle Graphics | 1.0-8 |
tutorial.helpers Helper Functions for Creating Tutorials | 0.3.1 |
TUvalues Tools for Calculating Allocations in Game Theory using Exact and Approximated Methods | 0.1.0 |
tvem Time-Varying Effect Models | 1.4.1 |
twang Toolkit for Weighting and Analysis of Nonequivalent Groups | 2.6.1 |
twc Terrestrial Water Cycle | 0.0.1 |
twdtw Time-Weighted Dynamic Time Warping | 1.0-1 |
tweeDEseq | 1.52.0 |
tweedie Evaluation of Tweedie Exponential Family Models | 2.3.5 |
tweenr Interpolate Data for Smooth Animations | 2.0.3 |
twinning Data Twinning | 1.0 |
twosamples Fast Permutation Based Two Sample Tests | 2.0.1 |
TxDb.Hsapiens.UCSC.hg19.knownGene | 3.2.2 |
TxDb.Hsapiens.UCSC.hg38.knownGene | 3.20.0 |
TxDb.Mmusculus.UCSC.mm10.knownGene | 3.10.0 |
txdbmaker | 1.2.1 |
tximeta | 1.24.0 |
tximport | 1.34.0 |
txshift Efficient Estimation of the Causal Effects of Stochastic Interventions | 0.3.8 |
txtplot Text Based Plots | 1.0-4 |
txtq A Small Message Queue for Parallel Processes | 0.2.4 |
typed Support Types for Variables, Arguments, and Return Values | 0.0.1 |
tzdb Time Zone Database Information | 0.4.0 |
u5mr Under-Five Child Mortality Estimation | 0.1.1 |
uaparserjs Parse 'User-Agent' Strings | 0.3.5 |
uavRmp UAV Mission Planner | 0.7 |
UBayFS A User-Guided Bayesian Framework for Ensemble Feature Selection | 1.0 |
UBCRM Simulate and Conduct Dose-Escalation Phase I Studies | 1.0.3 |
ubiquity PKPD, PBPK, and Systems Pharmacology Modeling Tools | 2.0.3 |
UBL An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks | 0.0.9 |
ubms Bayesian Models for Data from Unmarked Animals using 'Stan' | 1.2.7 |
UBStats Basic Statistics | 0.2.2 |
uci Urban Centrality Index | 0.3.0 |
ucie Mapping 3D Data into CIELab Color Space | 1.0.2 |
ucimlrepo Explore UCI ML Repository Datasets | 0.0.2 |
uclust Clustering and Classification Inference with U-Statistics | 1.0.0 |
ucminf General-Purpose Unconstrained Non-Linear Optimization | 1.2.2 |
UComp Automatic Univariate Time Series Modelling of many Kinds | 5.0.5 |
UCR.ColumnNames Fixes Column Names for Uniform Crime Report "Offenses Known and Clearance by Arrest" Datasets | 0.1.0 |
UCSC.utils | 1.2.0 |
UCSCXenaShiny Interactive Analysis of UCSC Xena Data | 2.1.0 |
UCSCXenaTools Download and Explore Datasets from UCSC Xena Data Hubs | 1.4.8 |
UdderQuarterInfectionData Udder Quarter Infection Data | 1.0.0 |
udpipe Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit | 0.8.11 |
udunits2 Udunits-2 Bindings for R | 0.13.2.1 |
UEI Compute Uniform Error Index | 0.1.0 |
ufRisk Risk Measure Calculation in Financial TS | 1.0.7 |
ufs A Collection of Utilities | 0.5.12 |
ugatsdb Uganda Time Series Database API | 0.2.3 |
uGMAR Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models | 3.5.1 |
ugomquantreg Quantile Regression Modeling for Unit-Gompertz Responses | 1.0.0 |
UHM Unified Zero-Inflated Hurdle Regression Models | 0.3.0 |
uHMM Construct an Unsupervised Hidden Markov Model | 1.0 |
ui Uncertainty Intervals and Sensitivity Analysis for Missing Data | 0.1.1 |
uiucthemes 'R' 'Markdown' Themes for 'UIUC' Documents and Presentations | 0.3.1 |
uk2us Convert Words Between UK and US English | 0.1.0 |
UKB.COVID19 UK Biobank COVID-19 Data Processing and Risk Factor Association Tests | 0.1.6 |
ukbabynames UK Baby Names Data | 0.3.0 |
ukbnmr Removal of Unwanted Technical Variation from UK Biobank NMR Metabolomics Biomarker Data | 3.2.0 |
ukbtools Manipulate and Explore UK Biobank Data | 0.11.3 |
UKFE UK Flood Estimation | 0.3.8 |
ukgasapi API for UK Energy Market Information | 0.21 |
UKgrid The UK National Electricity Transmission System Dataset | 0.1.3 |
uklr Client to United Kingdom Land Registry | 1.0.2 |
ukpolice Download Data on UK Police and Crime | 0.2.2 |
ulex Unique Location Extractor | 0.1.0 |
ulid Generate Universally Unique 'Lexicographically' 'Sortable' Identifiers | 0.4.0 |
ulrb Unsupervised Learning Based Definition of Microbial Rare Biosphere | 0.1.5 |
Ultimixt Bayesian Analysis of Location-Scale Mixture Models using a Weakly Informative Prior | 2.1 |
ultrapolaRplot Plotting Ultrasound Tongue Traces | 0.1.1 |
umap Uniform Manifold Approximation and Projection | 0.2.10.0 |
Umatrix Visualization of Structures in High-Dimensional Data | 4.0.1 |
umbridge Integration for the UM-Bridge Protocol | 1.0 |
umiAnalyzer Tools for Analyzing Sequencing Data with Unique Molecular Identifiers | 1.0.0 |
Umoments Unbiased Central Moment Estimates | 1.0.1 |
ump Uniformly Most Powerful Tests | 0.5-8 |
Umpire Simulating Realistic Gene Expression and Clinical Data | 2.0.10 |
umx Structural Equation Modeling and Twin Modeling in R | 4.21.0 |
UnalR Una implementación de funciones de uso interno | 1.0.0 |
unbalanced Racing for Unbalanced Methods Selection | 2.0 |
unbalhaar Function Estimation via Unbalanced Haar Wavelets | 2.1 |
UncDecomp Uncertainty Decomposition | 1.0.1 |
uncertainty Uncertainty Estimation and Contribution Analysis | 0.2.0 |
uncertainUCDP Parametric Mixture Models for Uncertainty Estimation of Fatalities in UCDP Conflict Data | 0.5.2 |
uncmbb UNC Men's Basketball Match Results Since 1949-1950 Season | 0.2.2 |
uncorbets Uncorrelated Bets via Minimum Torsion Algorithm | 0.1.2 |
UNCOVER Utilising Normalisation Constant Optimisation via Edge Removal (UNCOVER) | 1.1.0 |
understandBPMN Calculator of Understandability Metrics for BPMN | 1.1.1 |
unglue Extract Matched Substrings Using a Pattern | 0.1.0 |
ungroup Penalized Composite Link Model for Efficient Estimation of Smooth Distributions from Coarsely Binned Data | 1.4.4 |
unhcrthemes UNHCR 'ggplot2' Theme and Colour Palettes | 0.6.2 |
unheadr Handle Data with Messy Header Rows and Broken Values | 0.4.0 |
uni.shrinkage Shrinkage Estimation for Univariate Normal Mean | 1.0.0 |
uni.survival.tree A Survival Tree Based on Stabilized Score Tests for High-dimensional Covariates | 1.5 |
uniah Unimodal Additive Hazards Model | 1.2 |
Unico Unified Cross-Omics Deconvolution | 0.1.0 |
Unicode Unicode Data and Utilities | 15.1.0-1 |
unicol The Colors of your University | 0.3.0 |
UniExactFunTest Uniform Exact Functional Tests for Contingency Tables | 1.0.0 |
unifDAG Uniform Sampling of Directed Acyclic Graphs | 1.0.4 |
unifed The Unifed Distribution | 1.1.6 |
UnifiedDoseFinding Dose-Finding Methods for Non-Binary Outcomes | 0.1.10 |
unifir A Unifying API for Calling the 'Unity' '3D' Video Game Engine | 0.2.4 |
uniformly Uniform Sampling | 0.5.0 |
unigd Universal Graphics Device | 0.1.2 |
UniIsoRegression Unimodal and Isotonic L1, L2 and Linf Regression | 0.0-0 |
unikn Graphical Elements of the University of Konstanz's Corporate Design | 1.0.0 |
unine Unine Light Stemmer | 0.2.0 |
UniprotR Retrieving Information of Proteins from Uniprot | 2.4.0 |
uniqtag Abbreviate Strings to Short, Unique Identifiers | 1.0.1 |
uniReg Unimodal Penalized Spline Regression using B-Splines | 1.1 |
unisensR Read 'Unisens' Data | 0.3.3 |
uniset Dynamic Settings File | 0.3.1 |
uniswappeR Interact with the Uniswap Platform | 0.6.1 |
UnitCircle Check if Roots of a Polynomial Lie Outside the Unit Circle | 0.1.3 |
unitedR Assessment and Evaluation of Formations in United | 0.4 |
unitizer Interactive R Unit Tests | 1.4.21 |
unitquantreg Parametric Quantile Regression Models for Bounded Data | 0.0.6 |
units Measurement Units for R Vectors | 0.8-5 |
UnitStat Performs Unit Root Test Statistics | 1.1.0 |
unittest TAP-Compliant Unit Testing | 1.7-0 |
unival Assessing Essential Unidimensionality Using External Validity Information | 1.1.0 |
univariateML Maximum Likelihood Estimation for Univariate Densities | 1.1.1 |
UniversalCVI Hard and Soft Cluster Validity Indices | 1.1.2 |
universals S3 Generics for Bayesian Analyses | 0.0.5 |
univOutl Detection of Univariate Outliers | 0.4 |
UnivRNG Univariate Pseudo-Random Number Generation | 1.2.3 |
unix POSIX System Utilities | 1.5.9 |
unjoin Separate a Data Frame by Normalization | 0.1.0 |
unmarked Models for Data from Unmarked Animals | 1.4.3 |
unmconf Modeling with Unmeasured Confounding | 1.0.0 |
unnest Unnest Hierarchical Data Structures | 0.0.6 |
UNPaC Non-Parametric Cluster Significance Testing with Reference to a Unimodal Null Distribution | 1.1.1 |
unpivotr Unpivot Complex and Irregular Data Layouts | 0.6.4 |
UnplanSimon Methods for Managing Enrollment Deviation in Simon's Two-Stage Design | 0.1.0 |
unrepx Analysis and Graphics for Unreplicated Experiments | 1.0-2 |
unrtf Extract Text from Rich Text Format (RTF) Documents | 1.4.7 |
unstruwwel Detect and Parse Historic Dates | 0.2.1 |
unsystation Stationarity Test Based on Unsystematic Sub-Sampling | 0.2.0 |
untb Ecological Drift under the UNTB | 1.7-7-1 |
unusualprofile Calculates Conditional Mahalanobis Distances | 0.1.4 |
unvotes United Nations General Assembly Voting Data | 0.3.0 |
uotm Uncertainty of Time Series Model Selection Methods | 0.1.6 |
UpAndDownPlots Displays Percentage and Absolute Changes | 0.5.0 |
UPCM Uncertainty in Partial Credit Models | 0.0-3 |
updateme Informative Messages About Outdated Packages | 0.1.0 |
updater Utilities for Updating R | 0.1.2 |
updog Flexible Genotyping for Polyploids | 2.1.5 |
UpDown Detecting Group Disturbances from Longitudinal Observations | 1.2.1 |
UPG Efficient Bayesian Algorithms for Binary and Categorical Data Regression Models | 0.3.5 |
UPMASK Unsupervised Photometric Membership Assignment in Stellar Clusters | 1.2 |
upndown Utilities and Design Aids for Up-and-Down Dose-Finding Studies | 0.2.0 |
upsetjs 'HTMLWidget' Wrapper of 'UpSet.js' for Exploring Large Set Intersections | 1.11.1 |
UpSetR A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets | 1.4.0 |
UpSetVP An Alternative Visualization of VPA and HP in Canonical Analysis | 1.0.0 |
upstartr Utilities Powering the Globe and Mail's Data Journalism Template | 0.1.2 |
UPSvarApprox Approximate the Variance of the Horvitz-Thompson Total Estimator | 0.1.4 |
uptasticsearch Get Data Frame Representations of 'Elasticsearch' Results | 0.4.0 |
uptimeRobot Access the UptimeRobot Ping API | 1.0.0 |
ura Monitoring Rater Reliability | 1.0.1 |
urbin Unifying Estimation Results with Binary Dependent Variables | 0.1-14 |
urca Unit Root and Cointegration Tests for Time Series Data | 1.3-4 |
urlchecker Run CRAN URL Checks from Older R Versions | 1.0.1 |
urlshorteneR R Wrapper for the 'Bit.ly' and 'Is.gd'/'v.gd' URL Shortening Services | 1.5.7 |
urltools Vectorised Tools for URL Handling and Parsing | 1.7.3 |
uroot Unit Root Tests for Seasonal Time Series | 2.1-3 |
URooTab Tabular Reporting of 'EViews' Unit Root Tests | 0.1.0 |
ursa Non-Interactive Spatial Tools for Raster Processing and Visualization | 3.11.1 |
us.census.geoheader US 2010 Census SF2 Geographic Header Summary Levels 010-050 | 1.0.2 |
usa Updated US State Facts and Figures | 0.1.2 |
USA.state.boundaries WGS84 Datum Map of the USA, Including Puerto Rico and the U.S. Virgin Islands | 1.0.1 |
usaidplot Make Graphs with US Agency for International Development Colors | 2.0.2 |
uscoauditlog United States Copyright Office Product Management Division SR Audit Data Dataset Cleaning Algorithms | 1.0.3 |
usdampr Request USDA MPR Historical Data via the 'LMR' API | 1.0.1 |
usdarnass USDA NASS Quick Stats API | 0.1.0 |
usdata Data on the States and Counties of the United States | 0.3.1 |
usdatasets A Comprehensive Collection of U.S. Datasets | 0.1.0 |
usdm Uncertainty Analysis for Species Distribution Models | 2.1-7 |
usedist Distance Matrix Utilities | 0.4.0 |
usedthese Summarises Package & Function Usage | 0.5.0 |
useful A Collection of Handy, Useful Functions | 1.2.6.1 |
usefun A Collection of Useful Functions by John | 0.5.2 |
usemodels Boilerplate Code for 'Tidymodels' Analyses | 0.2.0 |
usethis Automate Package and Project Setup | 3.1.0 |
usfertilizer County-Level Estimates of Fertilizer Application in USA | 0.1.5 |
USgas The Demand for Natural Gas in the US | 0.1.2 |
USgrid The Demand and Supply for Electricity in the US | 0.1.2 |
ushr Understanding Suppression of HIV | 0.2.3 |
usincometaxes Calculate Federal and State Income Taxes in the United States | 0.7.1 |
UsingR Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition | 2.0-7 |
uskewFactors Model-Based Clustering via Mixtures of Unrestricted Skew-t Sactor Analyzer Models | 2.0 |
usl Analyze System Scalability with the Universal Scalability Law | 3.0.3 |
usmap US Maps Including Alaska and Hawaii | 0.7.1 |
usmapdata Mapping Data for 'usmap' Package | 0.3.0 |
USP U-Statistic Permutation Tests of Independence for all Data Types | 0.1.2 |
USpopcenters United States Centers of Population (Centroids) | 0.2.0 |
ussherR Ussher Data Set Drawn from 1658 Chronology | 1.10 |
UStatBookABSC A Companion Package to the Book "U-Statistics, M-Estimation and Resampling" | 1.0.0 |
ustfd API Client for US Treasury Fiscal Data | 0.4.4 |
ustyc Fetch US Treasury yield curve data. | 1.0.0 |
utc Coordinated Universal Time Transformations | 0.1.5 |
utf8 Unicode Text Processing | 1.2.4 |
utile.tables Build Tables for Publication | 0.3.0 |
utile.tools Summarize Data for Publication | 0.3.0 |
utile.visuals Create Visuals for Publication | 0.3.3 |
utility Construct, Evaluate and Plot Value and Utility Functions | 1.4.6 |
UtilityFrailtyPH12 Implementing EFF-TOX and Monotone Utility Based Phase 12 Trials | 1.0 |
utilityFunctionTools P-Spline Regression for Utility Functions and Derived Measures | 0.1.1 |
utils | 4.4.2 |
utilsIPEA IPEA Common Functions | 0.0.6 |
utiml Utilities for Multi-Label Learning | 0.1.7 |
utsf Univariate Time Series Forecasting | 1.1.0 |
uuid Tools for Generating and Handling of UUIDs | 1.2-1 |
uwedragon Data Research, Access, Governance Network : Statistical Disclosure Control | 0.1.0 |
UWHAM Unbinned Weighted Histogram Analysis Method (UWHAM) | 1.1 |
uwot The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction | 0.2.2 |
uxr User Experience Research | 0.2.0 |
V8 Embedded JavaScript and WebAssembly Engine for R | 6.0.0 |
vaccine Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data | 1.2.1 |
vachette A Method for Visualization of Pharmacometric Models | 0.40.1 |
vacuum Tukey's Vacuum Cleaner | 0.1.0 |
vader Valence Aware Dictionary and sEntiment Reasoner (VADER) | 0.2.1 |
vaersNDvax Non-Domestic Vaccine Adverse Event Reporting System (VAERS) Vaccine Data for Present | 1.0.4 |
vaersvax US Vaccine Adverse Event Reporting System (VAERS) Vaccine Data for Present | 1.0.5 |
vagalumeR Access to the 'Vagalume' API | 0.1.6 |
vagam Variational Approximations for Generalized Additive Models | 1.1 |
VAJointSurv Variational Approximation for Joint Survival and Marker Models | 0.1.0 |
valaddin Functional Input Validation | 1.0.2 |
valection Sampler for Verification Studies | 1.0.0 |
valentine Spread the Love for R Packages with Poetry | 2024.2.14 |
VALERIE Visualising Splicing at Single-Cell Resolution | 1.1.0 |
valet Provide R Client to the Bank of Canada's Valet API | 0.9.0 |
valhallr A Tidy Interface to the 'Valhalla' Routing Engine | 0.1.0 |
validann Validation Tools for Artificial Neural Networks | 1.2.1 |
validata Validate Data Frames | 0.1.0 |
validate Data Validation Infrastructure | 1.1.5 |
validateIt Validating Topic Coherence and Topic Labels | 1.2.1 |
validatesuggest Generate Suggestions for Validation Rules | 0.3.2 |
validatetools Checking and Simplifying Validation Rule Sets | 0.5.2 |
VALIDICLUST VALID Inference for Clusters Separation Testing | 0.1.0 |
validmind Interface to the 'ValidMind' Platform | 0.1.2 |
valmetrics Metrics and Plots for Model Evaluation | 1.0.0 |
valorate Velocity and Accuracy of the LOg-RAnk TEst | 1.0-1 |
valottery Results from the Virginia Lottery Draw Games | 0.0.1 |
valr Genome Interval Arithmetic | 0.8.2 |
valueEQ5D Scoring EQ-5d Descriptive System | 0.7.2 |
valuemap Making Choropleth Map | 2.0.4 |
valueSetCompare Comparing HRQoL Instrument Value Sets | 1.0.0 |
VAM Variance-Adjusted Mahalanobis | 1.1.0 |
vamc A Monte Carlo Valuation Framework for Variable Annuities | 0.2.1 |
vampyr Factor Analysis Controlling the Effects of Response Bias | 1.1.1 |
VancouvR Access the 'City of Vancouver' Open Data API | 0.1.8 |
vandalico Evaluation of Presence-Absence Models | 0.1.0 |
vangogh A Vincent Van Gogh Color Palette Generator | 0.1.1 |
vannstats Simplified Statistics for PA 606 | 1.3.4.14 |
vanquish Variant Quality Investigation Helper | 1.0.0 |
vapour Access to the 'Geospatial Data Abstraction Library' ('GDAL') | 0.10.0 |
VAR.etp VAR Modelling: Estimation, Testing, and Prediction | 1.1 |
VAR.spec Allows Specifying a Bivariate VAR (Vector Autoregression) with Desired Spectral Characteristics | 1.0 |
varband Variable Banding of Large Precision Matrices | 0.9.0 |
varbin Optimal Binning of Continuous and Categorical Variables | 0.2.1 |
varbvs Large-Scale Bayesian Variable Selection Using Variational Methods | 2.6-10 |
varclust Variables Clustering | 0.9.4 |
VARDetect Multiple Change Point Detection in Structural VAR Models | 0.1.8 |
vardiag Variogram Diagnostics | 0.2-1 |
vardpoor Variance Estimation for Sample Surveys by the Ultimate Cluster Method | 0.20.1 |
VarED Variance Estimation using Difference-Based Methods | 1.0.0 |
VaRES Computes Value at Risk and Expected Shortfall for over 100 Parametric Distributions | 1.0.2 |
varEst Variance Estimation | 0.1.0 |
varhandle Functions for Robust Variable Handling | 2.0.6 |
variability Genetic Variability Analysis for Plant Breeding Research | 0.1.0 |
variables Variable Descriptions | 1.1-1 |
VariableScreening High-Dimensional Screening for Semiparametric Longitudinal Regression | 0.2.1 |
varian Variability Analysis in R | 0.2.2 |
VarianceGamma The Variance Gamma Distribution | 0.4-2 |
VariantAnnotation | 1.52.0 |
variantspark A 'Sparklyr' Extension for 'VariantSpark' | 0.1.1 |
variationalDCM Variational Bayesian Estimation for Diagnostic Classification Models | 2.0.1 |
varImp RF Variable Importance for Arbitrary Measures | 0.4 |
variosig Testing Spatial Dependence Using Empirical Variogram | 0.3-1 |
vaRiskScore VA CVD Risk Score | 1.1.0 |
varitas Variant Calling in Targeted Analysis Sequencing Data | 0.0.2 |
varjmcm Estimations for the Covariance of Estimated Parameters in Joint Mean-Covariance Models | 0.1.1 |
varoc Value Added Receiver Operating Characteristics Curve | 0.2.0 |
varrank Heuristics Tools Based on Mutual Information for Variable Ranking | 0.5 |
VarRedOpt A Framework for Variance Reduction | 0.1.0 |
VarReg Semi-Parametric Variance Regression | 2.0 |
vars VAR Modelling | 1.6-1 |
varSel Sequential Forward Floating Selection using Jeffries-Matusita Distance | 0.2 |
VARSELECTEXPOSURE Variable Selection Methods Including an Exposure Variable | 1.0.3 |
VarSelLCM Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values | 2.1.3.1 |
varSelRF Variable Selection using Random Forests | 0.7-8 |
varsExplore Searchable Variable Explorer with Labelled Variables | 0.3.0 |
VARshrink Shrinkage Estimation Methods for Vector Autoregressive Models | 0.3.1 |
vartest Tests for Variance Homogeneity | 1.2 |
varTestnlme Variance Components Testing for Linear and Nonlinear Mixed Effects Models | 1.3.5 |
varycoef Modeling Spatially Varying Coefficients | 0.3.4 |
vasicek Miscellaneous Functions for Vasicek Distribution | 0.0.3 |
vasicekreg Regression Modeling Using Vasicek Distribution | 1.0.1 |
vatcheckapi Client for the 'vatcheckapi.com' VAT Validation API | 0.1.0 |
vaultr Vault Client for Secrets and Sensitive Data | 1.2.0 |
vaxpmx Vaccines Pharmacometrics | 0.0.6 |
VBel Variational Bayes for Fast and Accurate Empirical Likelihood Inference | 1.1.0 |
VBJM Variational Inference for Joint Model | 0.1.0 |
VBLPCM Variational Bayes Latent Position Cluster Model for Networks | 2.4.9 |
VBsparsePCA The Variational Bayesian Method for Sparse PCA | 0.1.0 |
VBTree Vector Binary Tree to Make Your Data Management More Efficient | 0.1.1 |
VBV The Generalized Berlin Method for Time Series Decomposition | 0.6.2 |
VC2copula Extend the 'copula' Package with Families and Models from 'VineCopula' | 0.1.5 |
VCA Variance Component Analysis | 1.5.1 |
vccp Vine Copula Change Point Detection in Multivariate Time Series | 0.1.1 |
vcd Visualizing Categorical Data | 1.4-12 |
vcdExtra 'vcd' Extensions and Additions | 0.8-5 |
vcfppR Rapid Manipulation of the Variant Call Format (VCF) | 0.6.0 |
vcfR Manipulate and Visualize VCF Data | 1.15.0 |
vchartr Interactive Charts with the 'JavaScript' 'VChart' Library | 0.1.3 |
vcmeta Varying Coefficient Meta-Analysis | 1.4.0 |
vcov Variance-Covariance Matrices and Standard Errors | 0.0.1 |
vcPB Longitudinal PB Varying-Coefficient Groupwise Disparity Model | 1.1.1 |
vcpen Penalized Variance Components Analysis | 1.9 |
vcr Record 'HTTP' Calls to Disk | 1.6.0 |
vcrpart Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models | 1.0-6 |
vctrs Vector Helpers | 0.6.5 |
vctsfr Visualizing Collections of Time Series Forecasts | 0.1.1 |
vcvComp Comparison of Variance - Covariance Patterns | 1.0.2 |
VDAP Peptide Array Analysis Tools | 2.0.0 |
vdar Discriminant Analysis Incorporating Individual Uncertainties | 0.1.3-2 |
vdg Variance Dispersion Graphs and Fraction of Design Space Plots | 1.2.3 |
Vdgraph Variance Dispersion Graphs and Fraction of Design Space Plots for Response Surface Designs | 2.2-7 |
vdiffr Visual Regression Testing and Graphical Diffing | 1.0.8 |
vDiveR Visualization of Viral Protein Sequence Diversity Dynamics | 2.0.1 |
VDJgermlines Variable, Diversity and Joining Sequences from Various Species | 0.1 |
VDPO Working with and Analyzing Functional Data of Varying Lengths | 0.1.0 |
VDSM Visualization of Distribution of Selected Model | 0.1.1 |
VDSPCalibration Statistical Methods for Designing and Analyzing a Calibration Study | 1.0 |
vec2dtransf 2D Cartesian Coordinate Transformation | 1.1.3 |
veccompare Perform Set Operations on Vectors, Automatically Generating All n-Wise Comparisons, and Create Markdown Output | 0.1.0 |
VeccTMVN Multivariate Normal Probabilities using Vecchia Approximation | 1.2.1 |
VecDep Measuring Copula-Based Dependence Between Random Vectors | 0.1.3 |
vecsets Like Set Tools in 'Base' Package but Keeps Duplicate Elements | 1.4 |
vectorbitops Vector Bitwise Operations | 1.1.2 |
VectorCodeR Easily Analyze Your Gait Patterns Using Vector Coding Technique | 0.2.0 |
vectorsurvR Data Access and Analytical Tools for 'VectorSurv' Users | 1.2.1 |
vectorwavelet Vector Wavelet Coherence for Multiple Time Series | 0.1.0 |
VedicDateTime Vedic Calendar System | 0.1.9 |
vegalite Tools to Encode Visualizations with the 'Grammar of Graphics'-Like 'Vega-Lite' 'Spec' | 0.6.1 |
vegan Community Ecology Package | 2.6-8 |
vegan3d Static and Dynamic 3D and Editable Interactive Plots for the 'vegan' Package | 1.3-0 |
vegawidget 'Htmlwidget' for 'Vega' and 'Vega-Lite' | 0.5.0 |
vegclust Fuzzy Clustering of Vegetation Data | 2.0.2 |
vegdata Access Vegetation Databases and Treat Taxonomy | 0.9.12 |
vegperiod Determine Thermal Vegetation Periods | 0.4.0 |
vegtable Handling Vegetation Data Sets | 0.1.8 |
vein Vehicular Emissions Inventories | 1.1.3 |
vek Predicate Helper Functions for Testing Simple Atomic Vectors | 1.0.0 |
velociraptr Fossil Analysis | 1.1.0 |
vembedr Embed Video in HTML | 0.1.5 |
venn Draw Venn Diagrams | 1.12 |
VennDiagram Generate High-Resolution Venn and Euler Plots | 1.7.3 |
venneuler Venn and Euler Diagrams | 1.1-4 |
vennplot Venn Diagrams in 2D and 3D | 1.0 |
verbaliseR Make your Text Mighty Fine | 0.1 |
verbalisr Describe Pedigree Relationships in Words | 0.7.1 |
verhoeff Implementation of the 'Verhoeff' Check Digit Algorithm | 0.4.0 |
verification Weather Forecast Verification Utilities | 1.44 |
vermeulen Biomarker Data Set by Vermeulen et al. (2009) | 0.1.2 |
versioning Settings and File I/O using a Configuration YAML File | 0.1.0 |
versions Query and Install Specific Versions of Packages on CRAN | 0.3 |
versionsort Sort and Order Version Codes | 1.1.0 |
versus Compare Data Frames | 0.3.0 |
VertexSimilarity Creates Vertex Similarity Matrix for an Undirected Graph | 0.1 |
VertexWiseR Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface | 1.2.0 |
VeryLargeIntegers Store and Operate with Arbitrarily Large Integers | 0.2.1 |
vesselr Gradient and Vesselness Tools for Arrays and NIfTI Images | 0.2.1 |
vetiver Version, Share, Deploy, and Monitor Models | 0.2.5 |
vetr Trust, but Verify | 0.2.18 |
VetResearchLMM Linear Mixed Models - An Introduction with Applications in Veterinary Research | 1.0.0 |
VEwaning Vaccine Efficacy Over Time | 1.3 |
VEwaningVariant Vaccine Efficacy Over Time - Variant Aware | 1.4 |
vfcp Computation of v Values for U and Copula C(U, v) | 1.4.0 |
vfinputs Visual Filter Inputs for Shiny | 0.1.0 |
VFP Variance Function Program | 1.4.1 |
vfprogression Visual Field (VF) Progression Analysis and Plotting Methods | 0.7.1 |
VFS Vegetated Filter Strip and Erosion Model | 1.0.2 |
VGAM Vector Generalized Linear and Additive Models | 1.1-12 |
VGAMdata Data Supporting the 'VGAM' Package | 1.1-12 |
VGAMextra Additions and Extensions of the 'VGAM' Package | 0.0-6 |
vglmer Variational Inference for Hierarchical Generalized Linear Models | 1.0.6 |
vhcub Virus-Host Codon Usage Co-Adaptation Analysis | 1.0.0 |
vhica Vertical and Horizontal Inheritance Consistence Analysis | 0.2.8 |
via Virtual Arrays | 0.2.0 |
viafr Interface to the 'VIAF' ('Virtual International Authority File') API | 0.3.1 |
VIC5 The Variable Infiltration Capacity (VIC) Hydrological Model | 0.2.6 |
VICatMix Variational Mixture Models for Clustering Categorical Data | 1.0 |
vICC Varying Intraclass Correlation Coefficients | 1.0.0 |
vici Vaccine Induced Cellular Immunogenicity with Bivariate Modeling | 0.7.3 |
VicmapR Access Victorian Spatial Data Through Web File Services (WFS) | 0.2.3 |
Vicus Exploiting Local Structures to Improve Network-Based Analysis of Biological Data | 0.99.0 |
video 'Shiny' Extension of 'video.js' | 0.1.1 |
vietnamcode Convert Vietnam Provincial Codes | 0.1.1 |
vietnameseConverter Convert Vietnamese Encodings | 0.4.0 |
ViewPipeSteps Create View Tabs of Pipe Chains | 0.1.0 |
viewpoly A Shiny App to Visualize Genetic Maps and QTL Analysis in Polyploid Species | 0.4.1 |
viewscape Viewscape Analysis | 2.0.1 |
VIGoR Variational Bayesian Inference for Genome-Wide Regression | 1.1.5 |
viking State-Space Models Inference by Kalman or Viking | 1.0.2 |
villager A Framework for Designing and Running Agent Based Models | 2.0.0 |
VIM Visualization and Imputation of Missing Values | 6.2.2 |
VIMean Variability Independent of Mean | 0.1.0 |
vimp Perform Inference on Algorithm-Agnostic Variable Importance | 2.3.3 |
vimpclust Variable Importance in Clustering | 0.1.0 |
VIMPS Calculate Variable Importance with Knock Off Variables | 1.0 |
vindecodr Provides an Interface to the Department of Transportation VIN Decoder | 0.1.1 |
VineCopula Statistical Inference of Vine Copulas | 2.5.1 |
vinereg D-Vine Quantile Regression | 0.10.0 |
vines Multivariate Dependence Modeling with Vines | 1.1.5 |
violinplotter Plotting and Comparing Means with Violin Plots | 3.0.1 |
vioplot Violin Plot | 0.5.0 |
vip Variable Importance Plots | 0.4.1 |
vipor Plot Categorical Data Using Quasirandom Noise and Density Estimates | 0.4.7 |
viraldomain Applicability Domain Methods of Viral Load and CD4 Lymphocytes | 0.0.6 |
viralmodels Viral Load and CD4 Lymphocytes Regression Models | 1.3.1 |
viralx Explainers for Regression Models in HIV Research | 1.3.0 |
VIRF Computation of Volatility Impulse Response Function of Multivariate Time Series | 0.1.0 |
viridis Colorblind-Friendly Color Maps for R | 0.6.5 |
viridisLite Colorblind-Friendly Color Maps (Lite Version) | 0.4.2 |
virtualPollen Simulating Pollen Curves from Virtual Taxa with Different Life and Niche Traits | 1.0.1 |
VirtualPop Simulation of Populations by Sampling Waiting-Time Distributions | 2.0.2 |
virtualspecies Generation of Virtual Species Distributions | 1.6 |
virtuoso Interface to 'Virtuoso' using 'ODBC' | 0.1.8 |
Virusparies Visualize and Process Output from 'VirusHunterGatherer' | 1.1.0 |
virustotal R Client for the VirusTotal API | 0.2.2 |
visa Vegetation Imaging Spectroscopy Analyzer | 0.1.0 |
visachartR Wrapper for 'Visa Chart Components' | 4.0.1 |
visae Visualization of Adverse Events | 0.2.0 |
visaOTR Valid Improved Sparsity A-Learning for Optimal Treatment Decision | 0.1.0 |
VisCollin Visualizing Collinearity Diagnostics | 0.1.2 |
viscomp Visualize Multi-Component Interventions in Network Meta-Analysis | 1.0.0 |
viscomplexr Phase Portraits of Functions in the Complex Number Plane | 1.1.2 |
VisCov Visualizing of Distributions of Covariance Matrices | 1.5.0 |
visdat Preliminary Visualisation of Data | 0.6.0 |
ViSe Visualizing Sensitivity | 0.1.3 |
ViSiElse A Visual Tool for Behavior Analysis over Time | 1.2.2 |
visit Vaccine Phase I Design with Simultaneous Evaluation of Immunogenicity and Toxicity | 2.2 |
VisitorCounts Modeling and Forecasting Visitor Counts Using Social Media | 2.0.2 |
vismeteor Analysis of Visual Meteor Data | 1.8.5 |
visNetwork Network Visualization using 'vis.js' Library | 2.1.2 |
visOmopResults Graphs and Tables for OMOP Results | 0.5.1 |
visR Clinical Graphs and Tables Adhering to Graphical Principles | 0.4.1 |
visreg Visualization of Regression Models | 2.7.0 |
visStatistics Automated Visualization of Statistical Tests | 0.1.1 |
vistime Pretty Timelines in R | 1.2.4 |
vistla Detecting Influence Paths with Information Theory | 2.0.3 |
visTree Visualization of Subgroups for Decision Trees | 0.8.1 |
vistributions Visualize Probability Distributions | 0.2.0 |
VisualDom Visualize Dominant Variables in Wavelet Multiple Correlation | 0.8.0 |
visualFields Statistical Methods for Visual Fields | 1.0.5 |
visualize Graph Probability Distributions with User Supplied Parameters and Statistics | 4.5.0 |
Visualize.CRAN.Downloads Visualize Downloads from 'CRAN' Packages | 1.0.3 |
VisualizeSimon2Stage Visualize Simon's Two-Stage Design | 0.1.6 |
visualpred Visualization 2D of Binary Classification Models | 0.1.1 |
visvaR Shiny-Based Statistical Solutions for Agricultural Research | 1.0.0 |
visvow Visible Vowels: Visualization of Vowel Variation | 1.3.11 |
visxhclust A Shiny App for Visual Exploration of Hierarchical Clustering | 1.1.0 |
vita Variable Importance Testing Approaches | 1.0.0 |
vitae Curriculum Vitae for R Markdown | 0.6.0 |
vital Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data | 1.1.0 |
vitality Fitting Routines for the Vitality Family of Mortality Models | 1.3 |
vivainsights Analyze and Visualize Data from 'Microsoft Viva Insights' | 0.5.5 |
vivaldi Viral Variant Location and Diversity | 1.0.1 |
vivid Variable Importance and Variable Interaction Displays | 0.2.9 |
vivo Variable Importance via Oscillations | 0.2.1 |
vizdraws Visualize Draws from the Prior and Posterior Distributions | 2.0.0 |
vkR Access to VK API via R | 0.2 |
VLF Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records | 1.1 |
VLMC Variable Length Markov Chains ('VLMC') Models | 1.4-4 |
VLMCX Variable Length Markov Chain with Exogenous Covariates | 1.0 |
VLTimeCausality Variable-Lag Time Series Causality Inference Framework | 0.1.5 |
VMDecomp Variational Mode Decomposition | 1.0.1 |
VMDML Variational Mode Decomposition Based Machine Learning Models | 0.1.1 |
vmdTDNN VMD Based Time Delay Neural Network Model | 0.1.1 |
vmeasur Quantify the Contractile Nature of Vessels Monitored under an Operating Microscope | 0.1.4 |
vMF Sampling from the von Mises-Fisher Distribution | 0.0.3 |
vmr Virtual Machines for R | 0.0.6 |
vntrs Variable Neighborhood Trust Region Search | 0.1.1 |
vocaldia Create and Manipulate Vocalisation Diagrams | 0.8.4 |
voi Expected Value of Information | 1.0.3 |
voice Tools for Voice Analysis, Speaker Recognition and Mood Inference | 0.4.21 |
voiceR Voice Analytics for Social Scientists | 0.1.0 |
vol2birdR Vertical Profiles of Biological Signals in Weather Radar Data | 1.0.5 |
volatilityTrader High Volatility Environment Option Trading Strategies Graphs | 1.0.1 |
volcano3D 3D Volcano Plots and Polar Plots for Three-Class Data | 2.0.9 |
volcanoPlot Volcano Plot for Clinical Trial Adverse Events | 1.0.0 |
volesti Volume Approximation and Sampling of Convex Polytopes | 1.1.2-8 |
volker High-Level Functions for Tabulating, Charting and Reporting Survey Data | 3.0.0 |
volleystat Detailed Statistics on Volleyball Matches | 0.2.0 |
voluModel Modeling Species Distributions in Three Dimensions | 0.2.2 |
voronoiTreemap Voronoi Treemaps with Added Interactivity by Shiny | 0.2.0 |
VorteksExport Export Dataframes to 'Vorteks' Software | 0.1.8 |
vortexRdata Example Data for R Package 'vortexR' | 1.0.5 |
voson.tcn Twitter Conversation Networks and Analysis | 0.5.0 |
VOSONDash User Interface for Collecting and Analysing Social Networks | 0.5.7 |
vosonSML Collecting Social Media Data and Generating Networks for Analysis | 0.32.7 |
Voss Generic Voss Algorithm (Random Sequential Additions) | 0.1.5 |
vote Election Vote Counting | 2.4-3 |
voteogram United States House and Senate Voting Cartogram Generators | 0.3.2 |
voteSim Generate Simulated Data for Voting Rules using Evaluations | 0.1.1 |
votesmart Wrapper for the Project 'VoteSmart' API | 0.1.2 |
votesys Voting Systems, Instant-Runoff Voting, Borda Method, Various Condorcet Methods | 0.1.1 |
vottrans Voter Transition Analysis | 1.0 |
vov CSS Animations for 'shiny' Elements | 0.1.2 |
vowels Vowel Manipulation, Normalization, and Plotting | 1.2-2 |
voxel Mass-Univariate Voxelwise Analysis of Medical Imaging Data | 1.3.5 |
VoxR Trees Geometry and Morphology from Unstructured TLS Data | 1.0.0 |
vpc Create Visual Predictive Checks | 1.2.2 |
VPdtw Variable Penalty Dynamic Time Warping | 2.2.1 |
vprr Processing and Visualization of Video Plankton Recorder Data | 0.2.3 |
vrnmf Volume-Regularized Structured Matrix Factorization | 1.0.2 |
vroom Read and Write Rectangular Text Data Quickly | 1.6.5 |
vrtest Variance Ratio Tests and Other Tests for Martingale Difference Hypothesis | 1.2 |
vscc Variable Selection for Clustering and Classification | 0.7 |
vsd Graphical Shim for Visual Survival Data Analysis | 0.1.0 |
vse4ts Identify Memory Patterns in Time Series Using Variance Scale Exponent | 1.0.0 |
vsgoftest Goodness-of-Fit Tests Based on Kullback-Leibler Divergence | 1.0-1 |
vsmi Variable Selection for Multiple Imputed Data | 0.1.0 |
vsn | 3.74.0 |
VSOLassoBag Variable Selection Oriented LASSO Bagging Algorithm | 0.99.1 |
vsp Vintage Sparse PCA for Semi-Parametric Factor Analysis | 0.1.2 |
vstdct Nonparametric Estimation of Toeplitz Covariance Matrices | 0.2 |
vstsr Access to 'Azure DevOps' API via R | 1.1.0 |
VSURF Variable Selection Using Random Forests | 1.2.0 |
VsusP Variable Selection using Shrinkage Priors | 1.0.0 |
vtable Variable Table for Variable Documentation | 1.4.7 |
vtreat A Statistically Sound 'data.frame' Processor/Conditioner | 1.6.5 |
vtree Display Information About Nested Subsets of a Data Frame | 5.6.5 |
VTShiny Interactive Document for Working with Variance Analysis | 0.1.0 |
vtype Estimates the Variable Type in Error Afflicted Data | 0.8 |
vudc Visualization of Univariate Data for Comparison | 1.1 |
vueR 'Vuejs' Helpers and 'Htmlwidget' | 0.6.0 |
VulnToolkit Analysis of Tidal Datasets | 1.1.4 |
VUROCS Volume under the ROC Surface for Multi-Class ROC Analysis | 1.0 |
vvauditor Creates Assertion Tests | 0.6.0 |
vvcanvas 'Canvas' LMS API Integration | 0.0.4 |
vvconverter Apply Transformations to Data | 0.5.10 |
vvdoctor Statistical Test App with R 'shiny' | 0.0.1 |
vvfiller Fill Data Points | 0.6.7 |
vvmover Read and Write Data | 1.6.0 |
vvsculptor Apply Manipulations to Data Frames | 0.4.10 |
vvshiny Create Complex Shiny Apps More Easily | 0.1.1 |
vvtableau R Interface for 'Tableau' Services | 0.7.0 |
vvtermtime Interface for 'Semestry TermTime' Services | 0.0.1 |
vwline Draw Variable-Width Lines | 0.2-4 |
VWPre Tools for Preprocessing Visual World Data | 1.2.4 |
W2CWM2C A Graphical Tool for Wavelet (Cross) Correlation and Wavelet Multiple (Cross) Correlation Analysis | 2.2 |
W3CMarkupValidator R Interface to W3C Markup Validation Services | 0.1-7 |
W4MRUtils Utils List for W4M - Workflow for Metabolomics | 1.0.0 |
WA While-Alive Loss Rate for Recurrent Event in the Presence of Death | 1.0 |
wacolors Colorblind-Friendly Palettes from Washington State | 0.3.1 |
WACS Multivariate Weather-State Approach Conditionally Skew-Normal Generator | 1.1.0 |
wactor Word Factor Vectors | 0.0.1 |
waffle Create Waffle Chart Visualizations | 1.0.2 |
waiter Loading Screen for 'Shiny' | 0.2.5 |
wakefield Generate Random Data Sets | 0.3.6 |
wal Read and Write 'wal' Bitmap Image Files and Other 'Quake' Assets | 0.1.1 |
waldo Find Differences Between R Objects | 0.6.1 |
walkboutr Generate Walk Bouts from GPS and Accelerometry Data | 0.6.0 |
walker Bayesian Generalized Linear Models with Time-Varying Coefficients | 1.0.10 |
walkscore A Tidy Interface to the 'Walk Score' API | 0.1.2 |
walkscoreAPI Walk Score and Transit Score API | 1.2 |
wallace A Modular Platform for Reproducible Modeling of Species Niches and Distributions | 2.1.3 |
WallomicsData Datasets for Multi-Omics Integration in a Plant Abiotic Stress Context | 1.0 |
wally The Wally Calibration Plot for Risk Prediction Models | 1.0.10 |
walmartAPI Walmart Open API Wrapper | 0.1.5 |
walrus Robust Statistical Methods | 1.0.5 |
WALS Weighted-Average Least Squares Model Averaging | 0.2.5 |
WaMaSim Simulate Rehabilitation Strategies for Water Distribution Systems | 1.0.0 |
wand Retrieve 'Magic' Attributes from Files and Directories | 0.5.0 |
WAnova Welch's Anova from Summary Statistics | 0.4.0 |
warabandi Roster Generation of Turn for Weekdays:'warabandi' | 0.1.0 |
warbleR Streamline Bioacoustic Analysis | 1.1.33 |
WARN Weaning Age Reconstruction with Nitrogen Isotope Analysis | 1.2-4 |
warp Group Dates | 0.2.1 |
warpMix Mixed Effects Modeling with Warping for Functional Data Using B-Spline | 0.1.0 |
washdata Urban Water and Sanitation Survey Dataset | 0.1.4 |
washeR Time Series Outlier Detection | 0.1.3 |
washex Washington State Legislative Explorer | 1.2.0 |
washi Washington Soil Health Initiative Branding | 0.2.0 |
washr Publication Toolkit for Water, Sanitation and Hygiene (WASH) Data | 1.0.1 |
WASP Wavelet System Prediction | 1.4.4 |
waspasR Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution | 0.1.5 |
waspr Wasserstein Barycenters of Subset Posteriors | 1.0.1 |
waterData Retrieval, Analysis, and Anomaly Calculation of Daily Hydrologic Time Series Data | 1.0.8 |
waterfall Waterfall Charts | 1.0.2 |
waterfalls Create Waterfall Charts using 'ggplot2' Simply | 1.0.0 |
waterquality Satellite Derived Water Quality Detection Algorithms | 1.0.0 |
waterYearType Sacramento and San Joaquin Valley Water Year Types | 1.0.1 |
Wats Wrap Around Time Series Graphics | 1.0.1 |
watson Fitting and Simulating Mixtures of Watson Distributions | 0.5 |
wav Read and Write WAV Files | 0.1.0 |
waveband Computes Credible Intervals for Bayesian Wavelet Shrinkage | 4.7.4 |
waved Wavelet Deconvolution | 1.3 |
WaveletANN Wavelet ANN Model | 0.1.2 |
WaveletArima Wavelet-ARIMA Model for Time Series Forecasting | 0.1.2 |
WaveletComp Computational Wavelet Analysis | 1.1 |
WaveletETS Wavelet Based Error Trend Seasonality Model | 0.1.0 |
WaveletGARCH Fit the Wavelet-GARCH Model to Volatile Time Series Data | 0.1.1 |
WaveletGBM Wavelet Based Gradient Boosting Method | 0.1.0 |
WaveletKNN Wavelet Based K-Nearest Neighbor Model | 0.1.0 |
WaveletLSTM Wavelet Based LSTM Model | 0.1.0 |
WaveletML Wavelet Decomposition Based Hybrid Machine Learning Models | 0.1.0 |
WaveletMLbestFL The Best Wavelet Filter-Level for Prepared Wavelet-Based Models | 0.1.0 |
WaveletRF Wavelet-RF Hybrid Model for Time Series Forecasting | 0.1.0 |
wavelets Functions for Computing Wavelet Filters, Wavelet Transforms and Multiresolution Analyses | 0.3-0.2 |
WaveletSVR Wavelet-SVR Hybrid Model for Time Series Forecasting | 0.1.0 |
wavemulcor Wavelet Routines for Global and Local Multiple Regression and Correlation | 3.1.2 |
waver Calculate Fetch and Wave Energy | 0.3.0 |
WaverideR Extracting Signals from Wavelet Spectra | 0.3.2 |
WaverR Data Estimation using Weighted Averages of Multiple Regressions | 1.0 |
waves Vis-NIR Spectral Analysis Wrapper | 0.2.5 |
WaveSampling Weakly Associated Vectors (WAVE) Sampling | 0.1.3 |
waveslim Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing | 1.8.5 |
wavethresh Wavelets Statistics and Transforms | 4.7.3 |
wavScalogram Wavelet Scalogram Tools for Time Series Analysis | 1.1.3 |
waydown Computation of Approximate Potentials for Weakly Non-Gradient Fields | 1.1.0 |
WayFindR Computing Graph Structures on WikiPathways | 0.1.2 |
waywiser Ergonomic Methods for Assessing Spatial Models | 0.6.0 |
wbacon Weighted BACON Algorithms | 0.6-2 |
wbids Seamless Access to World Bank International Debt Statistics (IDS) | 0.1.0 |
wbs Wild Binary Segmentation for Multiple Change-Point Detection | 1.4.1 |
wbsd Wild Bootstrap Size Diagnostics | 1.0.0 |
wbstats Programmatic Access to Data and Statistics from the World Bank API | 1.0.4 |
wbsts Multiple Change-Point Detection for Nonstationary Time Series | 2.1 |
wcde Download Data from the Wittgenstein Centre Human Capital Data Explorer | 0.0.7 |
WCE Weighted Cumulative Exposure Models | 1.0.3 |
wcep Survival Analysis for Weighted Composite Endpoints | 1.0.2 |
WCluster Clustering and PCA with Weights, and Data Nuggets Clustering | 1.2.0 |
WCM Water Cloud Model (WCM) for the Simulation of Leaf Area Index (LAI) and Soil Moisture (SM) from Microwave Backscattering | 0.2.2 |
Wcompo Semiparametric Proportional Means Regression of Weighted Composite Endpoint | 1.0 |
wconf Weighted Confusion Matrix | 1.2.0 |
wCorr Weighted Correlations | 1.9.8 |
wcox Weights to Correct for Outcome Dependent Sampling in Time to Event Data | 1.0 |
WDI World Development Indicators and Other World Bank Data | 2.7.8 |
wdi2 Download World Development Indicators from the World Bank Indicators API | 0.1.0 |
wdm Weighted Dependence Measures | 0.2.4 |
wdman 'Webdriver'/'Selenium' Binary Manager | 0.2.6 |
wdnet Weighted and Directed Networks | 1.2.3 |
wdnr.gis Pull Spatial Layers from 'WDNR ArcGIS REST API' | 0.1.5 |
wdpar Interface to the World Database on Protected Areas | 1.3.8 |
weaana Analysis the Weather Data | 0.1.1 |
weakARMA Tools for the Analysis of Weak ARMA Models | 1.0.3 |
wearables Tools to Read and Convert Wearables Data | 0.8.1 |
weatherindices Calculate Weather Indices | 0.1.0 |
weathermetrics Functions to Convert Between Weather Metrics | 1.2.2 |
weatherOz An API Client for Australian Weather and Climate Data Resources | 1.0.0 |
WeatherSentiment Comprehensive Analysis of Tweet Sentiments and Weather Data | 1.0 |
WebAnalytics Web Server Log Analysis | 0.9.12 |
webchem Chemical Information from the Web | 1.3.0 |
webdav A Simple Interface for Interacting with 'WebDAV' Servers | 0.1.2 |
webdeveloper Functions for Web Development | 1.0.5 |
webdriver 'WebDriver' Client for 'PhantomJS' | 1.0.6 |
webexercises Create Interactive Web Exercises in 'R Markdown' (Formerly 'webex') | 1.1.0 |
webfakes Fake Web Apps for HTTP Testing | 1.3.1 |
WebGestaltR Gene Set Analysis Toolkit WebGestaltR | 0.4.6 |
webglobe 3D Interactive Globes | 1.0.3 |
webmap Create Interactive Web Maps Using 'The National Map' Services | 1.1.0 |
webmockr Stubbing and Setting Expectations on 'HTTP' Requests | 1.0.0 |
webp A New Format for Lossless and Lossy Image Compression | 1.2.1 |
WebPower Basic and Advanced Statistical Power Analysis | 0.9.4 |
webr Data and Functions for Web-Based Analysis | 0.1.5 |
webreadr Tools for Reading Formatted Access Log Files | 0.4.0 |
webSDM Including Known Interactions in Species Distribution Models | 1.1-5 |
websearchr Access Domains and Search Popular Websites | 0.0.3 |
webshot Take Screenshots of Web Pages | 0.5.5 |
webshot2 Take Screenshots of Web Pages | 0.1.1 |
websocket 'WebSocket' Client Library | 1.4.2 |
webtrackR Preprocessing and Analyzing Web Tracking Data | 0.3.1 |
webuse Import Stata 'webuse' Datasets | 0.1.3 |
webutils Utility Functions for Developing Web Applications | 1.2.2 |
wec Weighted Effect Coding | 0.4-1 |
weed Wrangler for Emergency Events Database | 1.1.2 |
WEGE A Metric to Rank Locations for Biodiversity Conservation | 0.1.0 |
wehoop Access Women's Basketball Play by Play Data | 2.1.0 |
WeibullFit Fits and Plots a Dataset to the Weibull Probability Distribution Function | 0.1.0 |
weibullness Goodness-of-Fit Test for Weibull Distribution (Weibullness) | 1.24.1 |
WeibullR Weibull Analysis for Reliability Engineering | 1.2.1 |
WeibullR.ALT Accelerated Life Testing Using 'WeibullR' | 0.7.2 |
WeibullR.learnr An Interactive Introduction to Life Data Analysis | 0.2 |
WeibullR.plotly Interactive Weibull Probability Plots | 0.3 |
WeibullR.shiny A 'Shiny' App for Weibull Analysis | 0.3 |
weibulltools Statistical Methods for Life Data Analysis | 2.1.0 |
Weighted.Desc.Stat Weighted Descriptive Statistics | 1.0 |
weightedCL Efficient and Feasible Inference for High-Dimensional Normal Copula Regression Models | 0.5 |
WeightedCluster Clustering of Weighted Data | 1.8-1 |
WeightedEnsemble Weighted Ensemble for Hybrid Model | 0.1.0 |
weightedGCM Weighted Generalised Covariance Measure Conditional Independence Test | 0.1.0 |
WeightedPortTest Weighted Portmanteau Tests for Time Series Goodness-of-Fit | 1.1 |
weightedRank Sensitivity Analysis Using Weighted Rank Statistics | 0.3.7 |
WeightedROC Fast, Weighted ROC Curves | 2020.1.31 |
weightedScores Weighted Scores Method for Regression Models with Dependent Data | 0.9.5.3 |
WeightedTreemaps Generate and Plot Voronoi or Sunburst Treemaps from Hierarchical Data | 0.1.4 |
WeightIt Weighting for Covariate Balance in Observational Studies | 1.3.2 |
weightQuant Weights for Incomplete Longitudinal Data and Quantile Regression | 1.0.1 |
weightr Estimating Weight-Function Models for Publication Bias | 2.0.2 |
weights Weighting and Weighted Statistics | 1.0.4 |
WeightSVM Subject Weighted Support Vector Machines | 1.7-16 |
weird Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman | 1.0.2 |
weirs A Hydraulics Package to Compute Open-Channel Flow over Weirs | 0.25 |
welchADF Welch-James Statistic for Robust Hypothesis Testing under Heterocedasticity and Non-Normality | 0.3.2 |
welo Weighted and Standard Elo Rates | 0.1.4 |
WeMix Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation | 4.0.3 |
WES Tools for Analyzing Wastewater and Environmental Sampling Data | 1.0.0 |
wesanderson A Wes Anderson Palette Generator | 0.3.7 |
wevid Quantifying Performance of a Binary Classifier Through Weight of Evidence | 0.6.2 |
weyl The Weyl Algebra | 0.0-5 |
wfe Weighted Linear Fixed Effects Regression Models for Causal Inference | 1.9.1 |
wfg Weighted Fast Greedy Algorithm | 0.1 |
wfindr Crossword, Scrabble and Anagram Solver | 0.1.0 |
wflo Data Set and Helper Functions for Wind Farm Layout Optimization Problems | 1.9 |
wgaim Whole Genome Average Interval Mapping for QTL Detection and Estimation using ASReml-R | 2.0-6 |
WGCNA Weighted Correlation Network Analysis | 1.73 |
wgeesel Weighted Generalized Estimating Equations and Model Selection | 1.5 |
wget Setting Download Method to 'wget' | 0.0.3 |
WGScan A Genome-Wide Scan Statistic Framework for Whole-Genome Sequence Data Analysis | 0.1 |
WgtEff Functions for Weighting Effects | 0.1.2 |
WH Enhanced Implementation of Whittaker-Henderson Smoothing | 1.1.2 |
WhatIf Software for Evaluating Counterfactuals | 1.5-10 |
WhatsR Parsing, Anonymizing and Visualizing Exported 'WhatsApp' Chat Logs | 1.0.4 |
whatthreewords Work with the 'what3words' API for Easy Location Referencing | 0.1.3 |
wheatmap Incrementally Build Complex Plots using Natural Semantics | 0.2.0 |
when Definition of Date and Time Dimension Tables | 1.0.0 |
where Vectorised Substitution and Evaluation | 1.0.0 |
whereami Reliably Return the Source and Call Location of a Command | 0.2.0 |
whereport Geolocalization of IATA Codes | 0.1 |
whippr Tools for Manipulating Gas Exchange Data | 0.1.3 |
whisker {{mustache}} for R, Logicless Templating | 0.4.1 |
whitebox 'WhiteboxTools' R Frontend | 2.4.0 |
whitechapelR Advanced Policing Techniques for the Board Game "Letters from Whitechapel" | 0.3.0 |
WhiteLabRt Novel Methods for Reproduction Number Estimation, Back-Calculation, and Forecasting | 1.0.1 |
whitening Whitening and High-Dimensional Canonical Correlation Analysis | 1.4.0 |
whitestrap White Test and Bootstrapped White Test for Heteroskedasticity | 0.0.1 |
WhiteStripe White Matter Normalization for Magnetic Resonance Images | 2.4.3 |
whitewater Parallel Processing Options for Package 'dataRetrieval' | 0.1.3 |
whoa Evaluation of Genotyping Error in Genotype-by-Sequencing Data | 0.0.2 |
whoami Username, Full Name, Email Address, 'GitHub' Username of the Current User | 1.3.0 |
whomds Calculate Results from WHO Model Disability Survey Data | 1.1.1 |
whSample Utilities for Sampling | 0.9.6.2 |
widals Weighting by Inverse Distance with Adaptive Least Squares | 0.6.1 |
widgetframe 'Htmlwidgets' in Responsive 'iframes' | 0.3.1 |
widgetTools | 1.84.0 |
widyr Widen, Process, then Re-Tidy Data | 0.1.5 |
WienR Derivatives of the First-Passage Time Density and Cumulative Distribution Function, and Random Sampling from the (Truncated) First-Passage Time Distribution | 0.3-15 |
wiesbaden Access Databases from the Federal Statistical Office of Germany | 1.2.10 |
wig Import WIG Data into R in Long Format | 0.1.0 |
wikibooks Functions and Datasets of the German WikiBook "GNU R" | 0.2.1 |
WikidataQueryServiceR API Client Library for 'Wikidata Query Service' | 1.0.0 |
WikidataR Read-Write API Client Library for Wikidata | 2.3.3 |
wikifacts Get Facts and Data from Wikipedia and Wikidata | 0.4.2 |
wikilake Scrape Lake Metadata Tables from Wikipedia | 0.7.0 |
WikipediR A MediaWiki API Wrapper | 1.7.1 |
wikiprofiler 'WikiPathway' Based Data Integration and Visualization | 0.1.5 |
wikitaxa Taxonomic Information from 'Wikipedia' | 0.4.0 |
wikiTools Tools for Wikidata and Wikipedia | 1.2.7 |
wikkitidy Tidy Analysis of Wikipedia | 0.1.13 |
wilcoxmed Computes Values for the 1-Sample Wilcoxon Sign Rank Test for Medians | 0.0.1 |
wildcard Templates for Data Frames | 1.1.0 |
wildlifeDI Calculate Indices of Dynamic Interaction for Wildlife Tracking Data | 1.0.0 |
wildmeta Cluster Wild Bootstrapping for Meta-Analysis | 0.3.2 |
wildpoker Best Hand Analysis for Poker Variants Including Wildcards | 1.1 |
wildrwolf Fast Computation of Romano-Wolf Corrected p-Values for Linear Regression Models | 0.6.1 |
wilson Web-Based Interactive Omics Visualization | 2.4.2 |
winch Portable Native and Joint Stack Traces | 0.1.1 |
windAC Area Correction Methods | 1.2.10 |
WindCurves Tool to Fit Wind Turbine Power Curves | 0.2 |
windex Analysing Convergent Evolution using the Wheatsheaf Index | 2.0.8 |
windows.pls Segmentation Approaches in Chemometrics | 0.1.0 |
windsoraiR Access the 'Windsor.ai' API | 0.1.2 |
wINEQ Inequality Measures for Weighted Data | 1.2.1 |
winfapReader Interact with Peak Flow Data in the United Kingdom | 0.1-5.1 |
wingen Continuous Mapping of Genetic Diversity | 2.1.2 |
winputall Variable Input Allocation Among Crops | 1.0.1 |
winr Randomization-Based Covariance Adjustment of Win Statistics | 1.0.0 |
WinRatio Win Ratio for Prioritized Outcomes and 95% Confidence Interval | 1.0 |
WINS The R WINS Package | 1.4.2 |
wintime Win Time Methods for Time-to-Event Data in Clinical Trials | 0.3.0 |
wiqid Quick and Dirty Estimates for Wildlife Populations | 0.3.3 |
wISAM Weighted Inbred Strain Association Mapping | 0.2.8 |
wishmom Compute Moments Related to Beta-Wishart and Inverse Beta-Wishart Distributions | 1.1.0 |
withdots Put ... in a Function's Argument List | 0.1.1 |
wither Temporarily Change Project Root | 0.1.0 |
withr Run Code 'With' Temporarily Modified Global State | 3.0.2 |
wk Lightweight Well-Known Geometry Parsing | 0.9.4 |
wkb Convert Between Spatial Objects and Well-Known Binary Geometry | 0.4-0 |
wktmo Converting Weekly Data to Monthly Data | 1.0.5 |
wkutils Utilities for Well-Known Geometry Vectors | 0.1.3 |
WLogit Variable Selection in High-Dimensional Logistic Regression Models using a Whitening Approach | 2.1 |
WLreg Regression Analysis Based on Win Loss Endpoints | 1.0.0.1 |
WMAP Weighted Meta-Analysis with Pseudo-Populations | 1.1.0 |
wmm World Magnetic Model | 1.1.1 |
wmwm Performs Wilcoxon-Mann-Whitney Test with Missing Data | 1.0.0 |
wmwpow Precise and Accurate Power of the Wilcoxon-Mann-Whitney Rank-Sum Test for a Continuous Variable | 0.1.3 |
WMWssp Wilcoxon-Mann-Whitney Sample Size Planning | 0.4.0 |
wnl Minimization Tool for Pharmacokinetic-Pharmacodynamic Data Analysis | 0.8.1 |
wNNSel Weighted Nearest Neighbor Imputation of Missing Values using Selected Variables | 0.1 |
wnominate Roll Call Analysis Software | 1.5 |
WOAkMedoids Whale Optimization Algorithm for K-Medoids Clustering | 0.1.0 |
wodds Calculates Whisker Odds | 0.1.0 |
woe Computes Weight of Evidence and Information Values | 0.2 |
woeBinning Supervised Weight of Evidence Binning of Numeric Variables and Factors | 0.1.6 |
womblR Spatiotemporal Boundary Detection Model for Areal Unit Data | 1.0.5 |
WoodburyMatrix Fast Matrix Operations via the Woodbury Matrix Identity | 0.0.3 |
WoodSimulatR Generate Simulated Sawn Timber Strength Grading Data | 0.6.1 |
woodValuationDE Wood Valuation Germany | 1.0.2 |
wooldridge 115 Data Sets from "Introductory Econometrics: A Modern Approach, 7e" by Jeffrey M. Wooldridge | 1.4-4 |
worcs Workflow for Open Reproducible Code in Science | 0.1.15 |
word.alignment Computing Word Alignment Using IBM Model 1 (and Symmetrization) for a Given Parallel Corpus and Its Evaluation | 1.1 |
word2vec Distributed Representations of Words | 0.4.0 |
wordcloud Word Clouds | 2.6 |
wordcloud2 Create Word Cloud by 'htmlwidget' | 0.2.1 |
wordler The 'WORDLE' Game | 0.3.1 |
WordListsAnalytics Multiple Data Analysis Tools for Property Listing Tasks | 0.2.4 |
wordmap Feature Extraction and Document Classification with Noisy Labels | 0.9.1 |
wordnet WordNet Interface | 0.1-17 |
WordOfMouth Estimates Economic Variables for Word-of-Mouth-Campaigns | 1.1.0 |
wordpiece R Implementation of Wordpiece Tokenization | 2.1.3 |
wordpiece.data Data for Wordpiece-Style Tokenization | 2.0.0 |
WordPools Word Pools Used in Studies of Learning and Memory | 1.2.0 |
wordpredictor Develop Text Prediction Models Based on N-Grams | 0.0.5 |
wordPuzzleR Word Puzzle Game | 0.1.1 |
WordR Rendering Word Documents with R Inline Code | 0.3.6 |
words List of English Words from the Scrabble Dictionary | 1.0.1 |
wordsalad Provide Tools to Extract and Analyze Word Vectors | 0.2.0 |
wordspace Distributional Semantic Models in R | 0.2-8 |
workflowr A Framework for Reproducible and Collaborative Data Science | 1.7.1 |
workflows Modeling Workflows | 1.1.4 |
workflowsets Create a Collection of 'tidymodels' Workflows | 1.1.0 |
workloopR Analysis of Work Loops and Other Data from Muscle Physiology Experiments | 1.1.4 |
worldbank Client for World Banks's 'Indicators' and 'Poverty and Inequality Platform (PIP)' APIs | 0.4.0 |
WorldFlora Standardize Plant Names According to World Flora Online Taxonomic Backbone | 1.14-5 |
worldfootballR Extract and Clean World Football (Soccer) Data | 0.6.2 |
WorldMapR Worldwide or Coordinates-Based Heat Maps | 1.0.1 |
worldmet Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD) | 0.9.8 |
WormTensor A Clustering Method for Time-Series Whole-Brain Activity Data of 'C. elegans' | 0.1.1 |
worrms World Register of Marine Species (WoRMS) Client | 0.4.3 |
worrrd Generate Wordsearch and Crossword Puzzles | 0.1.0 |
wosr Clients to the 'Web of Science' and 'InCites' APIs | 0.3.0 |
WOTPLY Plot Connectivity Between Cells from Different Time Points | 0.1.0 |
wowa Weighted Ordered Weighted Average | 1.0.2 |
woylier Alternative Tour Frame Interpolation Method | 0.0.9 |
wpa Tools for Analysing and Visualising Viva Insights Data | 1.9.1 |
wPerm Permutation Tests | 1.0.1 |
WPKDE Weighted Piecewise Kernel Density Estimation | 0.1 |
wpp2008 World Population Prospects 2008 | 1.0-1 |
wpp2010 World Population Prospects 2010 | 1.2-0 |
wpp2012 World Population Prospects 2012 | 2.2-1 |
wpp2015 World Population Prospects 2015 | 1.1-2 |
wpp2017 World Population Prospects 2017 | 1.2-3 |
wpp2019 World Population Prospects 2019 | 1.1-1 |
wppExplorer Explorer of World Population Prospects | 2.3-4 |
WpProj Linear p-Wasserstein Projections | 0.2.1 |
wql Exploring Water Quality Monitoring Data | 1.0.1 |
WQM Wavelet-Based Quantile Mapping for Postprocessing Numerical Weather Predictions | 0.1.4 |
wqs Weighted Quantile Sum Regression | 0.0.1 |
wqspt Permutation Test for Weighted Quantile Sum Regression | 1.0.1 |
wqtrends Assess Water Quality Trends with Generalized Additive Models | 1.5.0 |
WR Win Ratio Analysis of Composite Time-to-Event Outcomes | 1.0 |
wrangle A Systematic Data Wrangling Idiom | 0.6.4 |
wrappedtools Useful Wrappers Around Commonly Used Functions | 0.9.6 |
wrappr A Collection of Helper and Wrapper Functions | 0.1.0 |
wrapr Wrap R Tools for Debugging and Parametric Programming | 2.1.0 |
wrassp Interface to the 'ASSP' Library | 1.0.5 |
Wrench | 1.24.0 |
WrensBookshelf A Collection of Palettes and Some Functions to Help Use Them | 0.1.0 |
WRestimates Sample Size, Power and CI for the Win Ratio | 0.1.0 |
wrGraph Graphics in the Context of Analyzing High-Throughput Data | 1.3.8 |
WRI Wasserstein Regression and Inference | 0.2.0 |
WrightMap IRT Item-Person Map with 'ConQuest' Integration | 1.4 |
write.snns Function for exporting data to SNNS pattern files. | 0.0-4.2 |
writexl Export Data Frames to Excel 'xlsx' Format | 1.5.1 |
WriteXLS Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files | 6.7.0 |
wrMisc Analyze Experimental High-Throughput (Omics) Data | 1.15.2 |
wrProteo Proteomics Data Analysis Functions | 1.13.0 |
WRS2 A Collection of Robust Statistical Methods | 1.1-6 |
WRSS Water Resources System Simulator | 3.1 |
wrswoR Weighted Random Sampling without Replacement | 1.1.1 |
WRTDStidal Weighted Regression for Water Quality Evaluation in Tidal Waters | 1.1.4 |
wrTopDownFrag Internal Fragment Identification from Top-Down Mass Spectrometry | 1.0.2 |
wru Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation | 3.0.3 |
wsbackfit Weighted Smooth Backfitting for Structured Models | 1.0-5 |
WSGeometry Geometric Tools Based on Balanced/Unbalanced Optimal Transport | 1.2.1 |
wsjplot Style Time Series Plots Like the Wall Street Journal | 0.1.0 |
wskm Weighted k-Means Clustering | 1.4.40 |
wsprv Weighted Selection Probability for Rare Variant Analysis | 0.1.0 |
wsrf Weighted Subspace Random Forest for Classification | 1.7.30 |
wsyn Wavelet Approaches to Studies of Synchrony in Ecology and Other Fields | 1.0.4 |
wtest The W-Test for Genetic Interactions Testing | 3.2 |
wTO Computing Weighted Topological Overlaps (wTO) & Consensus wTO Network | 2.1 |
WtTopsis Weighted Method for Multiple-Criteria Decision Making | 1.0 |
WufooR R Wrapper for the 'Wufoo.com' - The Form Building Service | 1.0.1 |
wv Wavelet Variance | 0.1.2 |
WVPlots Common Plots for Analysis | 1.3.8 |
WWGbook Functions and Datasets for WWGbook | 1.0.2 |
wwntests Hypothesis Tests for Functional Time Series | 1.1.0 |
wxgenR A Stochastic Weather Generator with Seasonality | 1.4.2 |
wyz.code.metaTesting Wizardry Code Meta Testing | 1.1.22 |
wyz.code.offensiveProgramming Wizardry Code Offensive Programming | 1.1.24 |
wyz.code.rdoc Wizardry Code Offensive Programming R Documentation | 1.1.19 |
wyz.code.testthat Wizardry Code Offensive Programming Test Generation | 1.1.20 |
x13binary Provide the 'x13ashtml' Seasonal Adjustment Binary | 1.1.61 |
x3ptools Tools for Working with 3D Surface Measurements | 0.0.4 |
xaringan Presentation Ninja | 0.30 |
XBRL Extraction of Business Financial Information from 'XBRL' Documents | 0.99.19.1 |
xefun X-Engineering or Supporting Functions | 0.1.5 |
xesreadR Read and Write XES Files | 0.2.3 |
xfun Supporting Functions for Packages Maintained by 'Yihui Xie' | 0.49 |
xgboost Extreme Gradient Boosting | 1.7.8.1 |
xgxr Exploratory Graphics for Pharmacometrics | 1.1.2 |
XICOR Association Measurement Through Cross Rank Increments | 0.4.1 |
xlsx Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files | 0.6.5 |
xlsxjars Package required POI jars for the xlsx package | 0.6.1 |
XML Tools for Parsing and Generating XML Within R and S-Plus | 3.99-0.17 |
xml2 Parse XML | 1.3.6 |
xmlparsedata Parse Data of 'R' Code as an 'XML' Tree | 1.0.5 |
xmlrpc2 Implementation of the Remote Procedure Call Protocol ('XML-RPC') | 1.1 |
XNomial Exact Goodness-of-Fit Test for Multinomial Data with Fixed Probabilities | 1.0.4.1 |
xopen Open System Files, 'URLs', Anything | 1.0.1 |
xplorerr Tools for Interactive Data Exploration | 0.2.0 |
xpose Diagnostics for Pharmacometric Models | 0.4.18 |
xpose.nlmixr2 Graphical Diagnostics for Pharmacometric Models: Extension to 'nlmixr2' | 0.4.0 |
XR A Structure for Interfaces from R | 0.7.2 |
xRing Identify and Measure Tree Rings on X-Ray Micro-Density Profiles | 0.1.1 |
XRJulia Structured Interface to Julia | 0.9.0.1 |
xslt Extensible Style-Sheet Language Transformations | 1.4.6 |
xtable Export Tables to LaTeX or HTML | 1.8-4 |
xts eXtensible Time Series | 0.14.1 |
XVector | 0.46.0 |
yaImpute Nearest Neighbor Observation Imputation and Evaluation Tools | 1.0-34.1 |
yaml Methods to Convert R Data to YAML and Back | 2.3.10 |
yamlme Writing 'YAML' Headers for 'R-Markdown' Documents | 0.1.2 |
yardstick Tidy Characterizations of Model Performance | 1.3.1 |
yarrr A Companion to the e-Book "YaRrr!: The Pirate's Guide to R" | 0.1.5 |
YatchewTest Yatchew (1997), De Chaisemartin & D'Haultfoeuille (2024) Linearity Test | 1.1.1 |
yesno Ask Yes-No Questions | 0.1.3 |
ymd Parse 'YMD' Format Number or String to Date | 0.1.4 |
ymlthis Write 'YAML' for 'R Markdown', 'bookdown', 'blogdown', and More | 0.1.7 |
yodel A General Bayesian Model Averaging Helper | 1.0.0 |
yuima The YUIMA Project Package for SDEs | 1.15.27 |
yulab.utils Supporting Functions for Packages Maintained by 'YuLab-SMU' | 0.1.8 |
yum Utilities to Extract and Process 'YAML' Fragments | 0.1.0 |
yyjsonr Fast 'JSON', 'NDJSON' and 'GeoJSON' Parser and Generator | 0.1.20 |
zCompositions Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets | 1.5.0-4 |
zctaCrosswalk Crosswalk Between 2020 Census ZIP Code Tabulation Areas (ZCTAs), States and Counties | 2.0.0 |
zcurve An Implementation of Z-Curves | 2.4.2 |
zeallot Multiple, Unpacking, and Destructuring Assignment | 0.1.0 |
zeitgebr Analysis of Circadian Behaviours | 0.3.5 |
zen4R Interface to 'Zenodo' REST API | 0.10 |
zendown Access Files from 'Zenodo' Deposits | 0.1.0 |
zenplots Zigzag Expanded Navigation Plots | 1.0.6 |
zinbwave | 1.28.0 |
zip Cross-Platform 'zip' Compression | 2.3.1 |
zipfR Statistical Models for Word Frequency Distributions | 0.6-70 |
zlib Compression and Decompression | 1.0.3 |
zlibbioc | 1.52.0 |
zoo S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations) | 1.8-12 |
ztable Zebra-Striped Tables in LaTeX and HTML Formats | 0.2.3 |
zyp Zhang + Yue-Pilon Trends Package | 0.11-1 |
This information was collected at 20241218-1811.