R-4.3.0-foss-2022b

Known Issues

• None

Package List

• ADGofTest-0.3 Anderson-Darling GoF test
• AICcmodavg-2.3-2 Model Selection and Multimodel Inference Based on (Q)AIC(c)
• AMAPVox-1.0.0 LiDAR Data Voxelisation
• AUC-0.3.2 Threshold Independent Performance Measures for Probabilistic Classifiers
• AlgDesign-1.2.1 Algorithmic Experimental Design
• BB-2019.10-1 Solving and Optimizing Large-Scale Nonlinear Systems
• BBmisc-1.13 Miscellaneous Helper Functions for B. Bischl
• BCEE-1.3.1 The Bayesian Causal Effect Estimation Algorithm
• BDgraph-2.72 Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
• BH-1.81.0-1 Boost C++ Header Files
• BIGL-1.7.0 Biochemically Intuitive Generalized Loewe Model
• BMA-3.18.17 Bayesian Model Averaging
• BatchJobs-1.9 Batch Computing with R
• BayesLogit-2.1 PolyaGamma Sampling
• BayesPen-1.0 Bayesian Penalized Credible Regions
• BayesianTools-0.1.8 General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
• BiasedUrn-2.0.9 Biased Urn Model Distributions
• Boruta-8.0.0 Wrapper Algorithm for All Relevant Feature Selection
• Brobdingnag-1.2-9 Very Large Numbers in R
• CBPS-0.23 Covariate Balancing Propensity Score
• CVST-0.2-3 Fast Cross-Validation via Sequential Testing
• Cairo-1.6-0 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
• ComICS-1.0.4 Computational Methods for Immune Cell-Type Subsets
• CompQuadForm-1.4.3 Distribution Function of Quadratic Forms in Normal Variables
• ComplexUpset-1.3.3 Create Complex UpSet Plots Using ‘ggplot2’ Components
• ConsRank-2.1.3 Compute the Median Ranking(s) According to the Kemeny’s Axiomatic Approach
• CovSel-1.2.1 Model-Free Covariate Selection
• DBI-1.1.3 R Database Interface
• DEoptim-2.2-8 Global Optimization by Differential Evolution
• DEoptimR-1.0-13 Differential Evolution Optimization in Pure R
• DHARMa-0.4.6 Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
• DMCfun-2.0.2 Diffusion Model of Conflict (DMC) in Reaction Time Tasks
• DRR-0.0.4 Dimensionality Reduction via Regression
• DT-0.28 A Wrapper of the JavaScript Library ‘DataTables’
• DTRreg-1.7 DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)
• DataCombine-0.2.21 Tools for Easily Combining and Cleaning Data Sets
• DepthProc-2.1.5 Statistical Depth Functions for Multivariate Analysis
• Deriv-4.1.3 Symbolic Differentiation
• DescTools-0.99.49 Tools for Descriptive Statistics
• DiagrammeR-1.0.10 Graph/Network Visualization
• DiceKriging-1.6.0 Kriging Methods for Computer Experiments
• DiscriMiner-0.1-29 Tools of the Trade for Discriminant Analysis
• DistributionUtils-0.6-0 Distribution Utilities
• ENMeval-2.0.4 Automated Tuning and Evaluations of Ecological Niche Models
• EValue-4.1.3 Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses
• EasyABC-1.5.2 Efficient Approximate Bayesian Computation Sampling Schemes
• EnvStats-2.7.0 Package for Environmental Statistics, Including US EPA Guidance
• ExPosition-2.8.23 Exploratory Analysis with the Singular Value Decomposition
• Exact-3.2 Unconditional Exact Test
• FME-1.3.6.2 A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis
• FNN-1.1.3.2 Fast Nearest Neighbor Search Algorithms and Applications
• FactoMineR-2.8 Multivariate Exploratory Data Analysis and Data Mining
• FactorCopula-0.9.3 Factor, Bi-Factor, Second-Order and Factor Tree Copula Models
• Formula-1.2-5 Extended Model Formulas
• GGally-2.1.2 Extension to ‘ggplot2’
• GJRM-0.2-6.1 Generalised Joint Regression Modelling
• GPArotation-2023.3-1 Gradient Projection Factor Rotation
• GSA-1.03.2 Gene Set Analysis
• GUTS-1.2.3 Fast Calculation of the Likelihood of a Stochastic Survival Model
• GenSA-1.1.8 R Functions for Generalized Simulated Annealing
• GeneNet-1.2.16 Modeling and Inferring Gene Networks
• GetoptLong-1.0.5 Parsing Command-Line Arguments and Simple Variable Interpolation
• GillespieSSA-0.6.2 Gillespie’s Stochastic Simulation Algorithm (SSA)
• GlobalOptions-0.1.2 Generate Functions to Get or Set Global Options
• GxEScanR-2.0.2 Run GWAS/GWEIS Scans Using Binary Dosage Files
• HGNChelper-0.8.1 Identify and Correct Invalid HGNC Human Gene Symbols and MGI Mouse Gene Symbols
• HWxtest-1.1.9 Exact Tests for Hardy-Weinberg Proportions
• HiddenMarkov-1.8-13 Hidden Markov Models
• Hmisc-5.1-0 Harrell Miscellaneous
• Hmsc-3.0-13 Hierarchical Model of Species Communities
• IDPmisc-1.1.20 ‘Utilities of Institute of Data Analyses and Process Design (www.zhaw.ch/idp)’
• ISOcodes-2022.09.29 Selected ISO Codes
• ISOweek-0.6-2 Week of the year and weekday according to ISO 8601
• Iso-0.0-18.1 Functions to Perform Isotonic Regression
• JADE-2.0-3 Blind Source Separation Methods Based on Joint Diagonalization and Some BSS Performance Criteria
• JBTools-0.7.2.9 Misc Small Tools and Helper Functions for Other Code of J. Buttlar
• KODAMA-2.4 Knowledge Discovery by Accuracy Maximization
• KernSmooth-2.23-21 Functions for Kernel Smoothing Supporting Wand & Jones (1995)
• LCFdata-2.0 Data sets for package ``LMERConvenienceFunctions’’
• LMERConvenienceFunctions-3.0 Model Selection and Post-Hoc Analysis for (G)LMER Models
• LaplacesDemon-16.1.6 Complete Environment for Bayesian Inference
• LearnBayes-2.15.1 Functions for Learning Bayesian Inference
• Lmoments-1.3-1 L-Moments and Quantile Mixtures
• MALDIquant-1.22.1 Quantitative Analysis of Mass Spectrometry Data
• MASS-7.3-60 Support Functions and Datasets for Venables and Ripley’s MASS
• MCMCpack-1.6-3 Markov Chain Monte Carlo (MCMC) Package
• MESS-0.5.9 Miscellaneous Esoteric Statistical Scripts
• MIIVsem-0.5.8 Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
• MLmetrics-1.1.1 Machine Learning Evaluation Metrics
• MatchIt-4.5.3 Nonparametric Preprocessing for Parametric Causal Inference
• Matching-4.10-8 Multivariate and Propensity Score Matching with Balance Optimization
• Matrix-1.5-4.1 Sparse and Dense Matrix Classes and Methods
• MatrixModels-0.5-1 Modelling with Sparse and Dense Matrices
• MetaUtility-2.1.2 Utility Functions for Conducting and Interpreting Meta-Analyses
• ModelMetrics-1.2.2.2 Rapid Calculation of Model Metrics
• MonteCarlo-1.0.6 Automatic Parallelized Monte Carlo Simulations
• NCmisc-1.2.0 Miscellaneous Functions for Creating Adaptive Functions and Scripts
• NISTunits-1.0.1 Fundamental Physical Constants and Unit Conversions from NIST
• NLP-0.2-1 Natural Language Processing Infrastructure
• OceanView-1.0.6 Visualisation of Oceanographic Data and Model Output
• OpenMx-2.21.8 Extended Structural Equation Modelling
• PCAmatchR-0.3.3 Match Cases to Controls Based on Genotype Principal Components
• PMA-1.2.1 Penalized Multivariate Analysis
• ParamHelpers-1.14.1 Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
• PearsonDS-1.2.3 Pearson Distribution System
• PermAlgo-1.2 Permutational Algorithm to Simulate Survival Data
• PoissonSeq-1.1.2 Significance analysis of sequencing data based on a Poisson log linear model
• PresenceAbsence-1.1.11 Presence-Absence Model Evaluation
• Publish-2023.01.17 Format Output of Various Routines in a Suitable Way for Reports and Publication
• R.cache-0.16.0 Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
• R.matlab-3.7.0 Read and Write MAT Files and Call MATLAB from Within R
• R.methodsS3-1.8.2 S3 Methods Simplified
• R.oo-1.25.0 R Object-Oriented Programming with or without References
• R.rsp-0.45.0 Dynamic Generation of Scientific Reports
• R.utils-2.12.2 Various Programming Utilities
• R2WinBUGS-2.1-21 Running ‘WinBUGS’ and ‘OpenBUGS’ from ‘R’ / ‘S-PLUS’
• R6-2.5.1 Encapsulated Classes with Reference Semantics
• RANN-2.6.1 Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
• RCAL-2.0 Regularized Calibrated Estimation
• RCircos-1.2.2 Circos 2D Track Plot
• RColorBrewer-1.1-3 ColorBrewer Palettes
• RCurl-1.98-1.12 General Network (HTTP/FTP/…) Client Interface for R
• RGCCA-3.0.1 Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
• RInside-0.2.18 C++ Classes to Embed R in C++ (and C) Applications
• RItools-0.3-3 Randomization Inference Tools
• RJSONIO-1.3-1.8 Serialize R Objects to JSON, JavaScript Object Notation
• RMTstat-0.3.1 Distributions, Statistics and Tests Derived from Random Matrix Theory
• RNeXML-2.4.11 Semantically Rich I/O for the ‘NeXML’ Format
• RNifti-1.5.0 Fast R and C++ Access to NIfTI Images
• ROCR-1.0-11 Visualizing the Performance of Scoring Classifiers
• ROI-1.0-1 R Optimization Infrastructure
• ROI.plugin.glpk-1.0-0 ‘ROI’ Plug-in ‘GLPK’
• RPMM-1.25 Recursively Partitioned Mixture Model
• RSNNS-0.4-16 Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
• RSQLite-2.3.1 SQLite Interface for R
• RSpectra-0.16-1 Solvers for Large-Scale Eigenvalue and SVD Problems
• RUnit-0.4.32 R Unit Test Framework
• RWeka-0.4-46 R/Weka Interface
• RWekajars-3.9.3-2 R/Weka Interface Jars
• Rborist-0.3-2 Extensible, Parallelizable Implementation of the Random Forest Algorithm
• Rcgmin-2022-4.30 Conjugate Gradient Minimization of Nonlinear Functions with Box Constraints
• Rcpp-1.0.10 Seamless R and C++ Integration
• RcppArmadillo-0.12.4.0.0 ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library
• RcppEigen-0.3.3.9.3 ‘Rcpp’ Integration for the ‘Eigen’ Templated Linear Algebra Library
• RcppGSL-0.3.13 ‘Rcpp’ Integration for ‘GNU GSL’ Vectors and Matrices
• RcppParallel-5.1.7 Parallel Programming Tools for ‘Rcpp’
• RcppProgress-0.4.2 An Interruptible Progress Bar with OpenMP Support for C++ in R Packages
• RcppRoll-0.3.0 Efficient Rolling / Windowed Operations
• RcppTOML-0.2.2 ‘Rcpp’ Bindings to Parser for “Tom’s Obvious Markup Language”
• RcppThread-2.1.3 R-Friendly Threading in C++
• Rdpack-2.4 Update and Manipulate Rd Documentation Objects
• RefFreeEWAS-2.2 EWAS using Reference-Free DNA Methylation Mixture Deconvolution
• Rglpk-0.6-5 R/GNU Linear Programming Kit Interface
• RhpcBLASctl-0.23-42 Control the Number of Threads on ‘BLAS’
• Rmpfr-0.9-2 R MPFR - Multiple Precision Floating-Point Reliable
• Rook-1.2 HTTP Web Server for R
• Rserve-1.8-11 Binary R server
• Rsolnp-1.16 General Non-Linear Optimization
• Rssa-1.0.5 A Collection of Methods for Singular Spectrum Analysis
• Rtsne-0.16 T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
• Rttf2pt1-1.3.12 ‘ttf2pt1’ Program
• Rvmmin-2018-4.17.1 Variable Metric Nonlinear Function Minimization
• SBdecomp-1.2 Estimation of the Proportion of SB Explained by Confounders
• SDMTools-1.1-221.2 Species Distribution Modelling Tools: Tools for processing data associated with species distribution modelling exercises
• SKAT-2.2.5 SNP-Set (Sequence) Kernel Association Test
• SNFtool-2.3.1 Similarity Network Fusion
• SOAR-0.99-11 Memory management in R by delayed assignments
• SPAtest-3.1.2 Score Test and Meta-Analysis Based on Saddlepoint Approximation
• SQUAREM-2021.1 Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
• SignifReg-4.3 Consistent Significance Controlled Variable Selection in Generalized Linear Regression
• SimSeq-1.4.0 Nonparametric Simulation of RNA-Seq Data
• SnowballC-0.7.1 Snowball Stemmers Based on the C ‘libstemmer’ UTF-8 Library
• SparseM-1.81 Sparse Linear Algebra
• StanHeaders-2.26.26 C++ Header Files for Stan
• StatMatch-1.4.1 Statistical Matching or Data Fusion
• SuperLearner-2.0-28 Super Learner Prediction
• SuppDists-1.1-9.7 Supplementary Distributions
• TFisher-0.2.0 Optimal Thresholding Fisher’s P-Value Combination Method
• TH.data-1.1-2 TH’s Data Archive
• TMB-1.9.4 Template Model Builder: A General Random Effect Tool Inspired by ‘ADMB’
• TTR-0.24.3 Technical Trading Rules
• TeachingDemos-2.12 Demonstrations for Teaching and Learning
• TraMineR-2.2-7 Trajectory Miner: a Toolbox for Exploring and Rendering Sequences
• TruncatedNormal-2.2.2 Truncated Multivariate Normal and Student Distributions
• UpSetR-1.4.0 A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
• V8-4.3.0 Embedded JavaScript and WebAssembly Engine for R
• VGAM-1.1-8 Vector Generalized Linear and Additive Models
• VIM-6.2.2 Visualization and Imputation of Missing Values
• VSURF-1.2.0 Variable Selection Using Random Forests
• VennDiagram-1.7.3 Generate High-Resolution Venn and Euler Plots
• VineCopula-2.4.5 Statistical Inference of Vine Copulas
• WeightSVM-1.7-11 Subject Weighted Support Vector Machines
• WikidataQueryServiceR-1.0.0 API Client Library for ‘Wikidata Query Service’
• WikidataR-2.3.3 Read-Write API Client Library for Wikidata
• WikipediR-1.5.0 A MediaWiki API Wrapper
• WriteXLS-6.4.0 Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files
• XML-3.99-0.14 Tools for Parsing and Generating XML Within R and S-Plus
• abc-2.2.1 Tools for Approximate Bayesian Computation (ABC)
• abc.data-1.0 Data Only: Tools for Approximate Bayesian Computation (ABC)
• abe-3.0.1 Augmented Backward Elimination
• abind-1.4-5 Combine Multidimensional Arrays
• acepack-1.4.1 ACE and AVAS for Selecting Multiple Regression Transformations
• adabag-5.0 Applies Multiclass AdaBoost.M1, SAMME and Bagging
• ade4-1.7-22 Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
• admisc-0.32 Adrian Dusa’s Miscellaneous
• aggregation-1.0.1 p-Value Aggregation Methods
• akima-0.6-3.4 Interpolation of Irregularly and Regularly Spaced Data
• alabama-2022.4-1 Constrained Nonlinear Optimization
• alluvial-0.1-2 Alluvial Diagrams
• animation-2.7 A Gallery of Animations in Statistics and Utilities to Create Animations
• aod-1.3.2 Analysis of Overdispersed Data
• apcluster-1.4.10 Affinity Propagation Clustering
• ape-5.7-1 Analyses of Phylogenetics and Evolution
• aplot-0.1.10 Decorate a ‘ggplot’ with Associated Information
• argparse-2.2.2 Command Line Optional and Positional Argument Parser
• aricode-1.0.2 Efficient Computations of Standard Clustering Comparison Measures
• arm-1.13-1 Data Analysis Using Regression and Multilevel/Hierarchical Models
• askpass-1.1 Safe Password Entry for R, Git, and SSH
• asnipe-1.1.16 Animal Social Network Inference and Permutations for Ecologists
• assertive-0.3-6 Readable Check Functions to Ensure Code Integrity
• assertive.base-0.0-9 A Lightweight Core of the ‘assertive’ Package
• assertive.code-0.0-4 Assertions to Check Properties of Code
• assertive.data-0.0-3 Assertions to Check Properties of Data
• assertive.data.uk-0.0-2 Assertions to Check Properties of Strings
• assertive.data.us-0.0-2 Assertions to Check Properties of Strings
• assertive.datetimes-0.0-3 Assertions to Check Properties of Dates and Times
• assertive.files-0.0-2 Assertions to Check Properties of Files
• assertive.matrices-0.0-2 Assertions to Check Properties of Matrices
• assertive.models-0.0-2 Assertions to Check Properties of Models
• assertive.numbers-0.0-2 Assertions to Check Properties of Numbers
• assertive.properties-0.0-5 Assertions to Check Properties of Variables
• assertive.reflection-0.0-5 Assertions for Checking the State of R
• assertive.sets-0.0-3 Assertions to Check Properties of Sets
• assertive.strings-0.0-3 Assertions to Check Properties of Strings
• assertive.types-0.0-3 Assertions to Check Types of Variables
• assertthat-0.2.1 Easy Pre and Post Assertions
• audio-0.1-10 Audio Interface for R
• aws-2.5-1 Adaptive Weights Smoothing
• awsMethods-1.1-1 Class and Methods Definitions for Packages ‘aws’, ‘adimpro’, ‘fmri’, ‘dwi’
• backports-1.4.1 Reimplementations of Functions Introduced Since R-3.0.0
• bacr-1.0.1 Bayesian Adjustment for Confounding
• bartMachine-1.3.3.1 Bayesian Additive Regression Trees
• bartMachineJARs-1.2.1 bartMachine JARs
• base built in
• base64-2.0.1 Base64 Encoder and Decoder
• base64enc-0.1-3 Tools for base64 encoding
• batchmeans-1.0-4 Consistent Batch Means Estimation of Monte Carlo Standard Errors
• bayesm-3.1-5 Bayesian Inference for Marketing/Micro-Econometrics
• bayesplot-1.10.0 Plotting for Bayesian Models
• bbmle-1.0.25 Tools for General Maximum Likelihood Estimation
• bdsmatrix-1.3-6 Routines for Block Diagonal Symmetric Matrices
• beanplot-1.3.1 Visualization via Beanplots (Like Boxplot/Stripchart/Violin Plot)
• beeswarm-0.4.0 The Bee Swarm Plot, an Alternative to Stripchart
• berryFunctions-1.22.0 Function Collection Related to Plotting and Hydrology
• betareg-3.1-4 Beta Regression
• bibtex-0.5.1 Bibtex Parser
• bigD-0.2.0 Flexibly Format Dates and Times to a Given Locale
• bigmemory-4.6.1 Manage Massive Matrices with Shared Memory and Memory-Mapped Files
• bigmemory.sri-0.1.6 A Shared Resource Interface for Bigmemory Project Packages
• bindr-0.1.1 Parametrized Active Bindings
• bindrcpp-0.2.2 An ‘Rcpp’ Interface to Active Bindings
• bio3d-2.4-4 Biological Structure Analysis
• biom-0.3.12 An interface package (beta) for the BIOM file format.
• biomod2-4.2-3 Ensemble Platform for Species Distribution Modeling
• bit-4.0.5 Classes and Methods for Fast Memory-Efficient Boolean Selections
• bit64-4.0.5 A S3 Class for Vectors of 64bit Integers
• bitops-1.0-7 Bitwise Operations
• blavaan-0.4-7 Bayesian Latent Variable Analysis
• blob-1.2.4 A Simple S3 Class for Representing Vectors of Binary Data (‘BLOBS’)
• bmp-0.3 Read Windows Bitmap (BMP) Images
• bnlearn-4.8.3 Bayesian Network Structure Learning, Parameter Learning and Inference
• bold-1.3.0 Interface to Bold Systems API
• boot-1.3-28.1 Bootstrap Functions (Originally by Angelo Canty for S)
• bootstrap-2019.6 Functions for the Book “An Introduction to the Bootstrap”
• brew-1.0-8 Templating Framework for Report Generation
• brglm-0.7.2 Bias Reduction in Binomial-Response Generalized Linear Models
• bridgedist-0.1.2 An Implementation of the Bridge Distribution with Logit-Link as in Wang and Louis (2003)
• bridgesampling-1.1-2 Bridge Sampling for Marginal Likelihoods and Bayes Factors
• brio-1.1.3 Basic R Input Output
• brms-2.19.0 Bayesian Regression Models using ‘Stan’
• broom-1.0.4 Convert Statistical Objects into Tidy Tibbles
• broom.helpers-1.13.0 Helpers for Model Coefficients Tibbles
• broom.mixed-0.2.9.4 Tidying Methods for Mixed Models
• bslib-0.4.2 Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’
• bst-0.3-24 Gradient Boosting
• cNORM-3.0.3 Continuous Norming
• cSEM-0.5.0 Composite-Based Structural Equation Modeling
• caTools-1.18.2 Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc
• cachem-1.0.8 Cache R Objects with Automatic Pruning
• calibrate-1.7.7 Calibration of Scatterplot and Biplot Axes
• callr-3.7.3 Call R from R
• car-3.1-2 Companion to Applied Regression
• carData-3.0-5 Companion to Applied Regression Data Sets
• caret-6.0-94 Classification and Regression Training
• catlearn-1.0 Formal Psychological Models of Categorization and Learning
• celestial-1.4.6 Collection of Common Astronomical Conversion Routines and Functions
• cellranger-1.1.0 Translate Spreadsheet Cell Ranges to Rows and Columns
• cgdsr-1.3.0 R-Based API for Accessing the MSKCC Cancer Genomics Data Server (CGDS)
• cghFLasso-0.2-1 Detecting hot spot on CGH array data with fused lasso<U+000a>regression.
• changepoint-2.2.4 Methods for Changepoint Detection
• checkmate-2.2.0 Fast and Versatile Argument Checks
• chemometrics-1.4.2 Multivariate Statistical Analysis in Chemometrics
• chk-0.9.0 Check User-Supplied Function Arguments
• chkptstanr-0.1.1 Checkpoint MCMC Sampling with ‘Stan’
• chron-2.3-61 Chronological Objects which Can Handle Dates and Times
• circlize-0.4.15 Circular Visualization
• circular-0.4-95 Circular Statistics
• clValid-0.7 Validation of Clustering Results
• class-7.3-22 Functions for Classification
• classInt-0.4-9 Choose Univariate Class Intervals
• cld2-1.2.4 Google’s Compact Language Detector 2
• cli-3.6.1 Helpers for Developing Command Line Interfaces
• clipr-0.8.0 Read and Write from the System Clipboard
• clisymbols-1.2.0 Unicode Symbols at the R Prompt
• clock-0.7.0 Date-Time Types and Tools
• clue-0.3-64 Cluster Ensembles
• cluster-2.1.4 “Finding Groups in Data”: Cluster Analysis Extended Rousseeuw et al.
• clusterGeneration-1.3.7 Random Cluster Generation (with Specified Degree of Separation)
• clusterRepro-0.9 Reproducibility of Gene Expression Clusters
• clustree-0.5.0 Visualise Clusterings at Different Resolutions
• cmprsk-2.2-11 Subdistribution Analysis of Competing Risks
• cobalt-4.5.1 Covariate Balance Tables and Plots
• cobs-1.3-5 Constrained B-Splines (Sparse Matrix Based)
• coda-0.19-4 Output Analysis and Diagnostics for MCMC
• codetools-0.2-19 Code Analysis Tools for R
• coin-1.4-2 Conditional Inference Procedures in a Permutation Test Framework
• collapse-1.9.6 Advanced and Fast Data Transformation
• colorspace-2.1-0 A Toolbox for Manipulating and Assessing Colors and Palettes
• colourpicker-1.2.0 A Colour Picker Tool for Shiny and for Selecting Colours in Plots
• combinat-0.0-8 combinatorics utilities
• commonmark-1.9.0 High Performance CommonMark and Github Markdown Rendering in R
• compiler built in
• compositions-2.0-6 Compositional Data Analysis
• conditionz-0.1.0 Control How Many Times Conditions are Thrown
• conflicted-1.2.0 An Alternative Conflict Resolution Strategy
• conquer-1.3.3 Convolution-Type Smoothed Quantile Regression
• contfrac-1.1-12 Continued Fractions
• copCAR-2.0-4 Fitting the copCAR Regression Model for Discrete Areal Data
• copula-1.1-2 Multivariate Dependence with Copulas
• corpcor-1.6.10 Efficient Estimation of Covariance and (Partial) Correlation
• corrplot-0.92 Visualization of a Correlation Matrix
• covr-3.6.2 Test Coverage for Packages
• covsim-1.0.0 VITA, IG and PLSIM Simulation for Given Covariance and Marginals
• cowplot-1.1.1 Streamlined Plot Theme and Plot Annotations for ‘ggplot2’
• coxed-0.3.3 Duration-Based Quantities of Interest for the Cox Proportional Hazards Model
• coxme-2.2-18.1 Mixed Effects Cox Models
• cpp11-0.4.3 A C++11 Interface for R’s C Interface
• crayon-1.5.2 Colored Terminal Output
• credentials-1.3.2 Tools for Managing SSH and Git Credentials
• crfsuite-0.4.1 Conditional Random Fields for Labelling Sequential Data in Natural Language Processing
• crosstalk-1.2.0 Inter-Widget Interactivity for HTML Widgets
• crul-1.4.0 HTTP Client
• csSAM-1.2.4 csSAM - cell-specific Significance Analysis of Microarrays
• ctmle-0.1.2 Collaborative Targeted Maximum Likelihood Estimation
• cubature-2.0.4.6 Adaptive Multivariate Integration over Hypercubes
• cubelyr-1.0.2 A Data Cube ‘dplyr’ Backend
• curl-5.0.0 A Modern and Flexible Web Client for R
• cvAUC-1.1.4 Cross-Validated Area Under the ROC Curve Confidence Intervals
• d3Network-0.5.2.1 Tools for creating D3 JavaScript network, tree, dendrogram, and<U+000a>Sankey graphs from R
• dHSIC-2.1 Independence Testing via Hilbert Schmidt Independence Criterion
• dagitty-0.3-1 Graphical Analysis of Structural Causal Models
• data.table-1.14.8 Extension of data.frame
• data.tree-1.0.0 General Purpose Hierarchical Data Structure
• datasets built in
• date-1.2-42 Functions for Handling Dates
• dbarts-0.9-23 Discrete Bayesian Additive Regression Trees Sampler
• dbplyr-2.3.2 A ‘dplyr’ Back End for Databases
• dbscan-1.1-11 Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms
• dcurver-0.9.2 Utility Functions for Davidian Curves
• ddalpha-1.3.13 Depth-Based Classification and Calculation of Data Depth
• deSolve-1.35 Solvers for Initial Value Problems of Differential Equations (‘ODE’, ‘DAE’, ‘DDE’)
• deal-1.2-42 Learning Bayesian Networks with Mixed Variables
• debugme-1.1.0 Debug R Packages
• deldir-1.0-9 Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
• dendextend-1.17.1 Extending ‘dendrogram’ Functionality in R
• desc-1.4.2 Manipulate DESCRIPTION Files
• devtools-2.4.5 Tools to Make Developing R Packages Easier
• dfidx-0.0-5 Indexed Data Frames
• diagram-1.6.5 Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams
• dichromat-2.0-0.1 Color Schemes for Dichromats
• diffobj-0.3.5 Diffs for R Objects
• digest-0.6.31 Create Compact Hash Digests of R Objects
• dimRed-0.2.6 A Framework for Dimensionality Reduction
• diptest-0.76-0 Hartigan’s Dip Test Statistic for Unimodality - Corrected
• dismo-1.3-14 Species Distribution Modeling
• distillery-1.2-1 Method Functions for Confidence Intervals and to Distill Information from an Object
• distr-2.9.2 Object Oriented Implementation of Distributions
• distrEx-2.9.0 Extensions of Package ‘distr’
• distributional-0.3.2 Vectorised Probability Distributions
• diveRsity-1.9.90 A Comprehensive, General Purpose Population Genetics Analysis Package
• dlm-1.1-6 Bayesian and Likelihood Analysis of Dynamic Linear Models
• doMC-1.3.8 Foreach Parallel Adaptor for ‘parallel’
• doParallel-1.0.17 Foreach Parallel Adaptor for the ‘parallel’ Package
• doRNG-1.8.6 Generic Reproducible Parallel Backend for ‘foreach’ Loops
• doSNOW-1.0.20 Foreach Parallel Adaptor for the ‘snow’ Package
• doc2vec-0.2.0 Distributed Representations of Sentences, Documents and Topics
• docstring-1.0.0 Provides Docstring Capabilities to R Functions
• dotCall64-1.0-2 Enhanced Foreign Function Interface Supporting Long Vectors
• downlit-0.4.2 Syntax Highlighting and Automatic Linking
• downloader-0.4 Download Files over HTTP and HTTPS
• dplyr-1.1.2 A Grammar of Data Manipulation
• dr-3.0.10 Methods for Dimension Reduction for Regression
• drgee-1.1.10 Doubly Robust Generalized Estimating Equations
• drugCombo-1.2.1 Drug Interaction Modeling Based on Loewe Additivity Following Harbron’s Approach
• dtangle-2.0.9 Cell Type Deconvolution from Gene Expressions
• dtplyr-1.3.1 Data Table Back-End for ‘dplyr’
• dtw-1.23-1 Dynamic Time Warping Algorithms
• dummies-1.5.6 Create dummy/indicator variables flexibly and efficiently
• dygraphs-1.1.1.6 Interface to ‘Dygraphs’ Interactive Time Series Charting Library
• dynamicTreeCut-1.63-1 Methods for Detection of Clusters in Hierarchical Clustering Dendrograms
• e1071-1.7-13 Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
• earth-5.3.2 Multivariate Adaptive Regression Splines
• elementR-1.3.7 An Framework for Reducing Elemental LAICPMS Data from Solid Structures
• ellipse-0.4.5 Functions for Drawing Ellipses and Ellipse-Like Confidence Regions
• ellipsis-0.3.2 Tools for Working with …
• elliptic-1.4-0 Weierstrass and Jacobi Elliptic Functions
• emdbook-1.3.12 Support Functions and Data for “Ecological Models and Data”
• emmeans-1.8.6 Estimated Marginal Means, aka Least-Squares Means
• emoa-0.5-0.2 Evolutionary Multiobjective Optimization Algorithms
• emulator-1.2-21 Bayesian Emulation of Computer Programs
• energy-1.7-11 E-Statistics: Multivariate Inference via the Energy of Data
• entropy-1.3.1 Estimation of Entropy, Mutual Information and Related Quantities
• ergm-4.5.0 Fit, Simulate and Diagnose Exponential-Family Models for Networks
• ergm.count-4.1.1 Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
• ergm.multi-0.2.0 Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks
• estimability-1.4.1 Tools for Assessing Estimability of Linear Predictions
• evaluate-0.21 Parsing and Evaluation Tools that Provide More Details than the Default
• evd-2.3-6.1 Functions for Extreme Value Distributions
• expm-0.999-7 Matrix Exponential, Log, ‘etc’
• expsmooth-2.3 Data Sets from “Forecasting with Exponential Smoothing”
• extRemes-2.1-3 Extreme Value Analysis
• extrafont-0.19 Tools for Using Fonts
• extrafontdb-1.0 Package for holding the database for the extrafont package
• fail-1.3 File Abstraction Interface Layer (FAIL)
• fansi-1.0.4 ANSI Control Sequence Aware String Functions
• farver-2.1.1 High Performance Colour Space Manipulation
• fastDummies-1.6.3 Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
• fastICA-1.2-3 FastICA Algorithms to Perform ICA and Projection Pursuit
• fastcluster-1.2.3 Fast Hierarchical Clustering Routines for R and ‘Python’
• fasterize-1.0.4 Fast Polygon to Raster Conversion
• fastmap-1.1.1 Fast Data Structures
• fastmatch-1.1-3 Fast ‘match()’ Function
• fdrtool-1.2.17 Estimation of (Local) False Discovery Rates and Higher Criticism
• feather-0.3.5 R Bindings to the Feather ‘API’
• ff-4.0.9 Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
• fftw-1.0-7 Fast FFT and DCT Based on the FFTW Library
• fftwtools-0.9-11 Wrapper for ‘FFTW3’ Includes: One-Dimensional, Two-Dimensional, Three-Dimensional, and Multivariate Transforms
• fields-14.1 Tools for Spatial Data
• filehash-2.4-5 Simple Key-Value Database
• finalfit-1.0.6 Quickly Create Elegant Regression Results Tables and Plots when Modelling
• findpython-1.0.8 Functions to Find an Acceptable Python Binary
• fishMod-0.29 Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta Log-Normal Models
• fitdistrplus-1.1-11 Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
• flashClust-1.01-2 Implementation of optimal hierarchical clustering
• flexclust-1.4-1 Flexible Cluster Algorithms
• flexmix-2.3-19 Flexible Mixture Modeling
• fma-2.5 Data Sets from “Forecasting: Methods and Applications” by Makridakis, Wheelwright & Hyndman (1998)
• fmri-1.9.11 Analysis of fMRI Experiments
• fontawesome-0.5.1 Easily Work with ‘Font Awesome’ Icons
• forcats-1.0.0 Tools for Working with Categorical Variables (Factors)
• foreach-1.5.2 Provides Foreach Looping Construct
• forecast-8.21 Forecasting Functions for Time Series and Linear Models
• foreign-0.8-84 Read Data Stored by ‘Minitab’, ‘S’, ‘SAS’, ‘SPSS’, ‘Stata’, ‘Systat’, ‘Weka’, ‘dBase’, …
• formatR-1.14 Format R Code Automatically
• formula.tools-1.7.1 Programmatic Utilities for Manipulating Formulas, Expressions, Calls, Assignments and Other R Objects
• fossil-0.4.0 Palaeoecological and Palaeogeographical Analysis Tools
• fpc-2.2-10 Flexible Procedures for Clustering
• fpp-0.5 Data for “Forecasting: principles and practice”
• fracdiff-1.5-2 Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models
• fs-1.6.2 Cross-Platform File System Operations Based on ‘libuv’
• furrr-0.3.1 Apply Mapping Functions in Parallel using Futures
• futile.logger-1.4.3 A Logging Utility for R
• futile.options-1.0.1 Futile Options Management
• future-1.32.0 Unified Parallel and Distributed Processing in R for Everyone
• future.apply-1.11.0 Apply Function to Elements in Parallel using Futures
• gWidgets2-1.0-9 Rewrite of gWidgets API for Simplified GUI Construction
• gWidgets2tcltk-1.0-8 Toolkit Implementation of gWidgets2 for tcltk
• gam-1.22-2 Generalized Additive Models
• gamlss-5.4-12 Generalised Additive Models for Location Scale and Shape
• gamlss.data-6.0-2 Data for Generalised Additive Models for Location Scale and Shape
• gamlss.dist-6.0-5 Distributions for Generalized Additive Models for Location Scale and Shape
• gamlss.tr-5.1-7 Generating and Fitting Truncated `gamlss.family’ Distributions
• gamm4-0.2-6 Generalized Additive Mixed Models using ‘mgcv’ and ‘lme4’
• gap-1.5-1 Genetic Analysis Package
• gap.datasets-0.0.5 Datasets for ‘gap’
• gapfill-0.9.6-1 Fill Missing Values in Satellite Data
• gargle-1.4.0 Utilities for Working with Google APIs
• gaussquad-1.0-3 Collection of Functions for Gaussian Quadrature
• gbRd-0.4-11 Utilities for processing Rd objects and files
• gbm-2.1.8.1 Generalized Boosted Regression Models
• gclus-1.3.2 Clustering Graphics
• gdalUtils-2.0.3.2 Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities
• gdata-2.19.0 Various R Programming Tools for Data Manipulation
• gdistance-1.6.2 Distances and Routes on Geographical Grids
• gee-4.13-25 Generalized Estimation Equation Solver
• geeM-0.10.1 Solve Generalized Estimating Equations
• geepack-1.3.9 Generalized Estimating Equation Package
• geex-1.1.1 An API for M-Estimation
• geiger-2.0.11 Analysis of Evolutionary Diversification
• generics-0.1.3 Common S3 Generics not Provided by Base R Methods Related to Model Fitting
• genoPlotR-0.8.11 Plot Publication-Grade Gene and Genome Maps
• geojsonsf-2.0.3 GeoJSON to Simple Feature Converter
• geometries-0.2.2 Convert Between R Objects and Geometric Structures
• geometry-0.4.7 Mesh Generation and Surface Tessellation
• gert-1.9.2 Simple Git Client for R
• getopt-1.20.3 C-Like ‘getopt’ Behavior
• ggExtra-0.10.0 Add Marginal Histograms to ‘ggplot2’, and More ‘ggplot2’ Enhancements
• ggbeeswarm-0.7.2 Categorical Scatter (Violin Point) Plots
• ggdag-0.2.10 Analyze and Create Elegant Directed Acyclic Graphs
• ggfan-0.1.3 Summarise a Distribution Through Coloured Intervals
• ggforce-0.4.1 Accelerating ‘ggplot2’
• ggformula-0.10.4 Formula Interface to the Grammar of Graphics
• ggfun-0.0.9 Miscellaneous Functions for ‘ggplot2’
• ggh4x-0.2.4 Hacks for ‘ggplot2’
• ggnetwork-0.5.12 Geometries to Plot Networks with ‘ggplot2’
• ggplot2-3.4.2 Create Elegant Data Visualisations Using the Grammar of Graphics
• ggplotify-0.1.0 Convert Plot to ‘grob’ or ‘ggplot’ Object
• ggpubr-0.6.0 ‘ggplot2’ Based Publication Ready Plots
• ggraph-2.1.0 An Implementation of Grammar of Graphics for Graphs and Networks
• ggrepel-0.9.3 Automatically Position Non-Overlapping Text Labels with ‘ggplot2’
• ggridges-0.5.4 Ridgeline Plots in ‘ggplot2’
• ggsci-3.0.0 Scientific Journal and Sci-Fi Themed Color Palettes for ‘ggplot2’
• ggsignif-0.6.4 Significance Brackets for ‘ggplot2’
• ggstance-0.3.6 Horizontal ‘ggplot2’ Components
• ggvenn-0.1.10 Draw Venn Diagram by ‘ggplot2’
• ggvis-0.4.8 Interactive Grammar of Graphics
• gh-1.4.0 ‘GitHub’ ‘API’
• git2r-0.32.0 Provides Access to Git Repositories
• gitcreds-0.1.2 Query ‘git’ Credentials from ‘R’
• glasso-1.11 Graphical Lasso: Estimation of Gaussian Graphical Models
• gld-2.6.6 Estimation and Use of the Generalised (Tukey) Lambda Distribution
• gllvm-1.4.1 Generalized Linear Latent Variable Models
• glmmML-1.1.4 Generalized Linear Models with Clustering
• glmmTMB-1.1.7 Generalized Linear Mixed Models using Template Model Builder
• glmnet-4.1-7 Lasso and Elastic-Net Regularized Generalized Linear Models
• globals-0.16.2 Identify Global Objects in R Expressions
• glue-1.6.2 Interpreted String Literals
• gmm-1.7 Generalized Method of Moments and Generalized Empirical Likelihood
• gmodels-2.18.1.1 Various R Programming Tools for Model Fitting
• gmp-0.7-1 Multiple Precision Arithmetic
• gnumeric-0.7-8 Read Data from Files Readable by ‘gnumeric’
• goftest-1.2-3 Classical Goodness-of-Fit Tests for Univariate Distributions
• gomms-1.0 GLM-Based Ordination Method
• googledrive-2.1.0 An Interface to Google Drive
• googlesheets4-1.1.0 Access Google Sheets using the Sheets API V4
• gower-1.0.1 Gower’s Distance
• gplots-3.1.3 Various R Programming Tools for Plotting Data
• grDevices built in
• grImport2-0.2-0 Importing ‘SVG’ Graphics
• graphics built in
• graphlayouts-1.0.0 Additional Layout Algorithms for Network Visualizations
• grf-2.3.0 Generalized Random Forests
• grid built in
• gridBase-0.4-7 Integration of base and grid graphics
• gridExtra-2.3 Miscellaneous Functions for “Grid” Graphics
• gridGraphics-0.5-1 Redraw Base Graphics Using ‘grid’ Graphics
• grpreg-3.4.0 Regularization Paths for Regression Models with Grouped Covariates
• gsalib-2.2.1 Utility Functions for ‘GATK’
• gsl-2.1-8 Wrapper for the Gnu Scientific Library
• gsw-1.1-1 Gibbs Sea Water Functions
• gt-0.9.0 Easily Create Presentation-Ready Display Tables
• gtable-0.3.3 Arrange ‘Grobs’ in Tables
• gtools-3.9.4 Various R Programming Tools
• gtsummary-1.7.1 Presentation-Ready Data Summary and Analytic Result Tables
• h2o-3.40.0.4 R Interface for the ‘H2O’ Scalable Machine Learning Platform
• hal9001-0.4.3 The Scalable Highly Adaptive Lasso
• hardhat-1.3.0 Construct Modeling Packages
• harmony-0.1.1 Fast, Sensitive, and Accurate Integration of Single Cell Data
• hash-2.2.6.2 Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries
• haven-2.5.2 Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files
• hdf5r-1.3.8 Interface to the ‘HDF5’ Binary Data Format
• hdm-0.3.1 High-Dimensional Metrics
• heatmap3-1.1.9 An Improved Heatmap Package
• here-1.0.1 A Simpler Way to Find Your Files
• hexbin-1.28.3 Hexagonal Binning Routines
• highr-0.10 Syntax Highlighting for R Source Code
• hms-1.1.3 Pretty Time of Day
• htmlTable-2.4.1 Advanced Tables for Markdown/HTML
• htmltools-0.5.5 Tools for HTML
• htmlwidgets-1.6.2 HTML Widgets for R
• httpcode-0.3.0 ‘HTTP’ Status Code Helper
• httpuv-1.6.11 HTTP and WebSocket Server Library
• httr-1.4.6 Tools for Working with URLs and HTTP
• httr2-0.2.3 Perform HTTP Requests and Process the Responses
• huge-1.3.5 High-Dimensional Undirected Graph Estimation
• hunspell-3.0.2 High-Performance Stemmer, Tokenizer, and Spell Checker
• hwriter-1.3.2.1 HTML Writer - Outputs R Objects in HTML Format
• hypergeo-1.2-13 The Gauss Hypergeometric Function
• ica-1.0-3 Independent Component Analysis
• idr-1.3 Irreproducible Discovery Rate
• ids-1.0.1 Generate Random Identifiers
• ie2misc-0.9.0 Irucka Embry’s Miscellaneous USGS Functions
• igraph-1.4.3 Network Analysis and Visualization
• image.binarization-0.1.3 Binarize Images for Enhancing Optical Character Recognition
• imager-0.45.2 Image Processing Library Based on ‘CImg’
• imagerExtra-1.3.2 Extra Image Processing Library Based on ‘imager’
• ineq-0.2-13 Measuring Inequality, Concentration, and Poverty
• influenceR-0.1.5 Software Tools to Quantify Structural Importance of Nodes in a Network
• infotheo-1.2.0.1 Information-Theoretic Measures
• ini-0.3.1 Read and Write ‘.ini’ Files
• inline-0.3.19 Functions to Inline C, C++, Fortran Function Calls from R
• intergraph-2.0-2 Coercion Routines for Network Data Objects
• interp-1.1-4 Interpolation Methods
• interpretR-0.2.4 Binary Classifier and Regression Model Interpretation Functions
• intrinsicDimension-1.2.0 Intrinsic Dimension Estimation
• inum-1.0-5 Interval and Enum-Type Representation of Vectors
• ipred-0.9-14 Improved Predictors
• irace-3.5 Iterated Racing for Automatic Algorithm Configuration
• irlba-2.3.5.1 Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices
• ismev-1.42 An Introduction to Statistical Modeling of Extreme Values
• isoband-0.2.7 Generate Isolines and Isobands from Regularly Spaced Elevation Grids
• iterators-1.0.14 Provides Iterator Construct
• itertools-0.1-3 Iterator Tools
• janeaustenr-1.0.0 Jane Austen’s Complete Novels
• jiebaR-0.11 Chinese Text Segmentation
• jiebaRD-0.1 Chinese Text Segmentation Data for jiebaR Package
• jomo-2.7-6 Multilevel Joint Modelling Multiple Imputation
• jpeg-0.1-10 Read and write JPEG images
• jquerylib-0.1.4 Obtain ‘jQuery’ as an HTML Dependency Object
• jsonify-1.2.2 Convert Between ‘R’ Objects and Javascript Object Notation (JSON)
• jsonlite-1.8.4 A Simple and Robust JSON Parser and Generator for R
• jstable-1.1.1 Create Tables from Different Types of Regression
• juicyjuice-0.1.0 Inline CSS Properties into HTML Tags Using ‘juice’
• kde1d-1.0.5 Univariate Kernel Density Estimation
• kedd-1.0.3 Kernel Estimator and Bandwidth Selection for Density and Its Derivatives
• kernlab-0.9-32 Kernel-Based Machine Learning Lab
• kinship2-1.9.6 Pedigree Functions
• klaR-1.7-2 Classification and Visualization
• knitr-1.43 A General-Purpose Package for Dynamic Report Generation in R
• kohonen-3.0.11 Supervised and Unsupervised Self-Organising Maps
• ks-1.14.0 Kernel Smoothing
• labdsv-2.1-0 Ordination and Multivariate Analysis for Ecology
• labeling-0.4.2 Axis Labeling
• labelled-2.11.0 Manipulating Labelled Data
• laeken-0.5.2 Estimation of Indicators on Social Exclusion and Poverty
• lambda.r-1.2.4 Modeling Data with Functional Programming
• lars-1.3 Least Angle Regression, Lasso and Forward Stagewise
• lassosum 0.4.5 [CRAN] 
• later-1.3.1 Utilities for Scheduling Functions to Execute Later with Event Loops
• lattice-0.21-8 Trellis Graphics for R
• latticeExtra-0.6-30 Extra Graphical Utilities Based on Lattice
• lava-1.7.2.1 Latent Variable Models
• lavaan-0.6-15 Latent Variable Analysis
• lazy-1.2-18 Lazy Learning for Local Regression
• lazyeval-0.2.2 Lazy (Non-Standard) Evaluation
• lda-1.4.2 Collapsed Gibbs Sampling Methods for Topic Models
• ldbounds-2.0.1 Lan-DeMets Method for Group Sequential Boundaries
• leafem-0.2.0 ‘leaflet’ Extensions for ‘mapview’
• leaflet-2.1.2 Create Interactive Web Maps with the JavaScript ‘Leaflet’ Library
• leaflet.providers-1.9.0 Leaflet Providers
• leafsync-0.1.0 Small Multiples for Leaflet Web Maps
• leaps-3.1 Regression Subset Selection
• leiden-0.4.3 R Implementation of Leiden Clustering Algorithm
• lhs-1.1.6 Latin Hypercube Samples
• libcoin-1.0-9 Linear Test Statistics for Permutation Inference
• lifecycle-1.0.3 Manage the Life Cycle of your Package Functions
• limSolve-1.5.6 Solving Linear Inverse Models
• linkcomm-1.0-14 Tools for Generating, Visualizing, and Analysing Link Communities in Networks
• linprog-0.9-4 Linear Programming / Optimization
• liquidSVM-1.2.4 A Fast and Versatile SVM Package
• listenv-0.9.0 Environments Behaving (Almost) as Lists
• lme4-1.1-33 Linear Mixed-Effects Models using ‘Eigen’ and S4
• lmerTest-3.1-3 Tests in Linear Mixed Effects Models
• lmom-2.9 L-Moments
• lmtest-0.9-40 Testing Linear Regression Models
• lobstr-1.1.2 Visualize R Data Structures with Trees
• locfdr-1.1-8 Computes Local False Discovery Rates
• locfit-1.5-9.7 Local Regression, Likelihood and Density Estimation
• logcondens-2.1.7 Estimate a Log-Concave Probability Density from Iid Observations
• logger-0.2.2 A Lightweight, Modern and Flexible Logging Utility
• logistf-1.25.0 Firth’s Bias-Reduced Logistic Regression
• logspline-2.1.19 Routines for Logspline Density Estimation
• longitudinal-1.1.13 Analysis of Multiple Time Course Data
• longmemo-1.1-2 Statistics for Long-Memory Processes (Book Jan Beran), and Related Functionality
• loo-2.6.0 Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
• lpSolve-5.6.18 Interface to ‘Lp_solve’ v. 5.5 to Solve Linear/Integer Programs
• lpSolveAPI-5.5.2.0-17.9 R Interface to ‘lp_solve’ Version 5.5.2.0
• lqa-1.0-3 Penalized Likelihood Inference for GLMs
• lsei-1.3-0 Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints
• lslx-0.6.11 Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood or Least Squares
• lubridate-1.9.2 Make Dealing with Dates a Little Easier
• lwgeom-0.2-13 Bindings to Selected ‘liblwgeom’ Functions for Simple Features
• mRMRe-2.1.2.1 Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
• magic-1.6-1 Create and Investigate Magic Squares
• magick-2.7.4 Advanced Graphics and Image-Processing in R
• magrittr-2.0.3 A Forward-Pipe Operator for R
• manipulateWidget-0.11.1 Add Even More Interactivity to Interactive Charts
• mapproj-1.2.11 Map Projections
• maps-3.4.1 Draw Geographical Maps
• maptools-1.1-7 Tools for Handling Spatial Objects
• markdown-1.7 Render Markdown with ‘commonmark’
• mathjaxr-1.6-0 Using ‘Mathjax’ in Rd Files
• matlab-1.0.4 ‘MATLAB’ Emulation Package
• matrixStats-0.63.0 Functions that Apply to Rows and Columns of Matrices (and to Vectors)
• matrixcalc-1.0-6 Collection of Functions for Matrix Calculations
• maxLik-1.5-2 Maximum Likelihood Estimation and Related Tools
• maxlike-0.1-9 Model Species Distributions by Estimating the Probability of Occurrence Using Presence-Only Data
• maxnet-0.1.4 Fitting ‘Maxent’ Species Distribution Models with ‘glmnet’
• mboost-2.9-7 Model-Based Boosting
• mclogit-0.9.6 Multinomial Logit Models, with or without Random Effects or Overdispersion
• mclust-6.0.0 Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
• mcmc-0.9-7 Markov Chain Monte Carlo
• mcmcse-1.5-0 Monte Carlo Standard Errors for MCMC
• mda-0.5-3 Mixture and Flexible Discriminant Analysis
• medflex-0.6-7 Flexible Mediation Analysis Using Natural Effect Models
• mediation-4.5.0 Causal Mediation Analysis
• memisc-0.99.31.6 Management of Survey Data and Presentation of Analysis Results
• memoise-2.0.1 ‘Memoisation’ of Functions
• memuse-4.2-3 Memory Estimation Utilities
• metadat-1.2-0 Meta-Analysis Datasets
• metafor-4.2-0 Meta-Analysis Package for R
• methods built in
• mets-1.3.2 Analysis of Multivariate Event Times
• mgcv-1.8-42 Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
• mgsub-1.7.3 Safe, Multiple, Simultaneous String Substitution
• mhsmm-0.4.16 Inference for Hidden Markov and Semi-Markov Models
• mi-1.1 Missing Data Imputation and Model Checking
• mice-3.15.0 Multivariate Imputation by Chained Equations
• miceadds-3.16-18 Some Additional Multiple Imputation Functions, Especially for ‘mice’
• microbenchmark-1.4.10 Accurate Timing Functions
• mime-0.12 Map Filenames to MIME Types
• minerva-1.5.10 Maximal Information-Based Nonparametric Exploration for Variable Analysis
• miniUI-0.1.1.1 Shiny UI Widgets for Small Screens
• minpack.lm-1.2-3 R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds
• minqa-1.2.5 Derivative-Free Optimization Algorithms by Quadratic Approximation
• mirt-1.39 Multidimensional Item Response Theory
• misc3d-0.9-1 Miscellaneous 3D Plots
• miscTools-0.6-28 Miscellaneous Tools and Utilities
• missForest-1.5 Nonparametric Missing Value Imputation using Random Forest
• mitml-0.4-5 Tools for Multiple Imputation in Multilevel Modeling
• mitools-2.4 Tools for Multiple Imputation of Missing Data
• mixtools-2.0.0 Tools for Analyzing Finite Mixture Models
• mlbench-2.1-3.1 Machine Learning Benchmark Problems
• mlegp-3.1.9 Maximum Likelihood Estimates of Gaussian Processes
• mlogit-1.1-1 Multinomial Logit Models
• mlr-2.19.1 Machine Learning in R
• mlrMBO-1.1.5.1 Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
• mltools-0.3.5 Machine Learning Tools
• mnormt-2.1.1 The Multivariate Normal and t Distributions, and Their Truncated Versions
• modelr-0.1.11 Modelling Functions that Work with the Pipe
• modeltools-0.2-23 Tools and Classes for Statistical Models
• momentfit-0.3 Methods of Moments
• moments-0.14.1 Moments, Cumulants, Skewness, Kurtosis and Related Tests
• mosaicCore-0.9.2.1 Common Utilities for Other MOSAIC-Family Packages
• mpath-0.4-2.23 Regularized Linear Models
• msm-1.7 Multi-State Markov and Hidden Markov Models in Continuous Time
• mstate-0.3.2 Data Preparation, Estimation and Prediction in Multi-State Models
• multcomp-1.4-23 Simultaneous Inference in General Parametric Models
• multcompView-0.1-9 Visualizations of Paired Comparisons
• multicool-0.1-12 Permutations of Multisets in Cool-Lex Order
• multipol-1.0-7 Multivariate Polynomials
• munsell-0.5.0 Utilities for Using Munsell Colours
• mvabund-4.2.1 Statistical Methods for Analysing Multivariate Abundance Data
• mvnfast-0.2.8 Fast Multivariate Normal and Student’s t Methods
• mvtnorm-1.1-3 Multivariate Normal and t Distributions
• nabor-0.5.0 Wraps ‘libnabo’, a Fast K Nearest Neighbour Library for Low Dimensions
• naniar-1.0.0 Data Structures, Summaries, and Visualisations for Missing Data
• natserv-1.0.0 ‘NatureServe’ Interface
• naturalsort-0.1.3 Natural Ordering
• ncbit-2013.03.29.1 Retrieve and Build NBCI Taxonomic Data
• ncdf4-1.21 Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
• network-1.18.1 Classes for Relational Data
• networkDynamic-0.11.3 Dynamic Extensions for Network Objects
• networkLite-1.0.5 An Simplified Implementation of the ‘network’ Package Functionality
• neuRosim-0.2-13 Simulate fMRI Data
• neuralnet-1.44.2 Training of Neural Networks
• ngspatial-1.2-2 Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data
• nleqslv-3.3.4 Solve Systems of Nonlinear Equations
• nlme-3.1-162 Linear and Nonlinear Mixed Effects Models
• nloptr-2.0.3 R Interface to NLopt
• nlsem-0.8 Fitting Structural Equation Mixture Models
• nnet-7.3-19 Feed-Forward Neural Networks and Multinomial Log-Linear Models
• nnls-1.4 The Lawson-Hanson algorithm for non-negative least squares<U+000a>(NNLS)
• nonnest2-0.5-5 Tests of Non-Nested Models
• nor1mix-1.3-0 Normal aka Gaussian (1-d) Mixture Models (S3 Classes and Methods)
• norm-1.0-11.0 Analysis of Multivariate Normal Datasets with Missing Values
• nortest-1.0-4 Tests for Normality
• np-0.60-17 Nonparametric Kernel Smoothing Methods for Mixed Data Types
• npsurv-0.5-0 Nonparametric Survival Analysis
• numDeriv-2016.8-1.1 Accurate Numerical Derivatives
• oai-0.4.0 General Purpose ‘Oai-PMH’ Services Client
• oce-1.8-0 Analysis of Oceanographic Data
• oddsratio-2.0.1 Odds Ratio Calculation for GAM(M)s & GLM(M)s
• openair-2.17-0 Tools for the Analysis of Air Pollution Data
• openssl-2.0.6 Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
• openxlsx-4.2.5.2 Read, Write and Edit xlsx Files
• operator.tools-1.6.3 Utilities for Working with R’s Operators
• optextras-2019-12.4 Tools to Support Optimization Possibly with Bounds and Masks
• optimParallel-1.0-2 Parallel Version of the L-BFGS-B Optimization Method
• optimr-2019-12.16 A Replacement and Extension of the ‘optim’ Function
• optimx-2022-4.30 Expanded Replacement and Extension of the ‘optim’ Function
• optmatch-0.10.6 Functions for Optimal Matching
• optparse-1.7.3 Command Line Option Parser
• ordinal-2022.11-16 Regression Models for Ordinal Data
• origami-1.0.7 Generalized Framework for Cross-Validation
• oro.nifti-0.11.4 Rigorous - ‘NIfTI’ + ‘ANALYZE’ + ‘AFNI’ : Input / Output
• orthopolynom-1.0-6.1 Collection of Functions for Orthogonal and Orthonormal Polynomials
• outliers-0.15 Tests for Outliers
• pROC-1.18.2 Display and Analyze ROC Curves
• packrat-0.9.1 A Dependency Management System for Projects and their R Package Dependencies
• pacman-0.5.1 Package Management Tool
• pammtools-0.5.91 Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
• pamr-1.56.1 Pam: Prediction Analysis for Microarrays
• pan-1.6 Multiple Imputation for Multivariate Panel or Clustered Data
• parallel built in
• parallelDist-0.2.6 Parallel Distance Matrix Computation using Multiple Threads
• parallelMap-1.5.1 Unified Interface to Parallelization Back-Ends
• parallelly-1.36.0 Enhancing the ‘parallel’ Package
• parsedate-1.3.1 Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats
• party-1.3-13 A Laboratory for Recursive Partytioning
• partykit-1.2-20 A Toolkit for Recursive Partytioning
• pastecs-1.3.21 Package for Analysis of Space-Time Ecological Series
• patchwork-1.1.2 The Composer of Plots
• pbapply-1.7-0 Adding Progress Bar to ‘*apply’ Functions
• pbivnorm-0.6.0 Vectorized Bivariate Normal CDF
• pbkrtest-0.5.2 Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models
• pcaPP-2.0-3 Robust PCA by Projection Pursuit
• pdp-0.8.1 Partial Dependence Plots
• pec-2023.04.12 Prediction Error Curves for Risk Prediction Models in Survival Analysis
• penalized-0.9-52 L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation in GLMs and in the Cox Model
• penfa-0.1.1 Single- And Multiple-Group Penalized Factor Analysis
• peperr-1.5 Parallelised Estimation of Prediction Error
• permute-0.9-7 Functions for Generating Restricted Permutations of Data
• phangorn-2.11.1 Phylogenetic Reconstruction and Analysis
• pheatmap-1.0.12 Pretty Heatmaps
• phylobase-0.8.10 Base Package for Phylogenetic Structures and Comparative Data
• phytools-1.5-1 Phylogenetic Tools for Comparative Biology (and Other Things)
• pillar-1.9.0 Coloured Formatting for Columns
• pim-2.0.2 Fit Probabilistic Index Models
• pinfsc50-1.2.0 Sequence (‘FASTA’), Annotation (‘GFF’) and Variants (‘VCF’) for 17 Samples of ‘P. Infestans” and 1 ‘P. Mirabilis’
• pixmap-0.4-12 Bitmap Images / Pixel Maps
• pkgbuild-1.4.0 Find Tools Needed to Build R Packages
• pkgconfig-2.0.3 Private Configuration for ‘R’ Packages
• pkgdown-2.0.7 Make Static HTML Documentation for a Package
• pkgload-1.3.2 Simulate Package Installation and Attach
• pkgmaker-0.32.10 Development Utilities for R Packages
• plogr-0.2.0 The ‘plog’ C++ Logging Library
• plot3D-1.4 Plotting Multi-Dimensional Data
• plot3Drgl-1.0.4 Plotting Multi-Dimensional Data - Using ‘rgl’
• plotly-4.10.1 Create Interactive Web Graphics via ‘plotly.js’
• plotmo-3.6.2 Plot a Model’s Residuals, Response, and Partial Dependence Plots
• plotrix-3.8-2 Various Plotting Functions
• pls-2.8-2 Partial Least Squares and Principal Component Regression
• plyr-1.8.8 Tools for Splitting, Applying and Combining Data
• png-0.1-8 Read and write PNG images
• poLCA-1.6.0.1 Polytomous Variable Latent Class Analysis
• polspline-1.1.22 Polynomial Spline Routines
• polyclip-1.10-4 Polygon Clipping
• polycor-0.8-1 Polychoric and Polyserial Correlations
• polynom-1.4-1 A Collection of Functions to Implement a Class for Univariate Polynomial Manipulations
• posterior-1.4.1 Tools for Working with Posterior Distributions
• ppcor-1.1 Partial and Semi-Partial (Part) Correlation
• prabclus-2.3-2 Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data
• pracma-2.4.2 Practical Numerical Math Functions
• praise-1.0.0 Praise Users
• preseqR-4.0.0 Predicting Species Accumulation Curves
• prettyGraphs-2.1.6 Publication-Quality Graphics
• prettyunits-1.1.1 Pretty, Human Readable Formatting of Quantities
• processx-3.8.1 Execute and Control System Processes
• prodlim-2023.03.31 Product-Limit Estimation for Censored Event History Analysis
• profileModel-0.6.1 Profiling Inference Functions for Various Model Classes
• proftools-0.99-3 Profile Output Processing Tools for R
• profvis-0.3.8 Interactive Visualizations for Profiling R Code
• progress-1.2.2 Terminal Progress Bars
• progressr-0.13.0 An Inclusive, Unifying API for Progress Updates
• projpred-2.5.0 Projection Predictive Feature Selection
• promises-1.2.0.1 Abstractions for Promise-Based Asynchronous Programming
• proto-1.0.0 Prototype Object-Based Programming
• proxy-0.4-27 Distance and Similarity Measures
• proxyC-0.3.3 Computes Proximity in Large Sparse Matrices
• pryr-0.1.6 Tools for Computing on the Language
• ps-1.7.5 List, Query, Manipulate System Processes
• pscl-1.5.5.1 Political Science Computational Laboratory
• pspline-1.0-19 Penalized Smoothing Splines
• psych-2.3.3 Procedures for Psychological, Psychometric, and Personality Research
• pulsar-0.3.10 Parallel Utilities for Lambda Selection along a Regularization Path
• purrr-1.0.1 Functional Programming Tools
• pvclust-2.2-0 Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling
• qgam-1.3.4 Smooth Additive Quantile Regression Models
• qgraph-1.9.5 Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
• qqman-0.1.8 Q-Q and Manhattan Plots for GWAS Data
• qrnn-2.1 Quantile Regression Neural Network
• quadprog-1.5-8 Functions to Solve Quadratic Programming Problems
• quanteda-3.3.1 Quantitative Analysis of Textual Data
• quantmod-0.4.22 Quantitative Financial Modelling Framework
• quantreg-5.95 Quantile Regression
• questionr-0.7.8 Functions to Make Surveys Processing Easier
• rJava-1.0-6 Low-Level R to Java Interface
• ragg-1.2.5 Graphic Devices Based on AGG
• random-0.2.6 True Random Numbers using RANDOM.ORG
• randomForest-4.7-1.1 Breiman and Cutler’s Random Forests for Classification and Regression
• randomForestSRC-3.2.2 Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
• randtoolbox-2.0.4 Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests
• rangeModelMetadata-0.1.4 Provides Templates for Metadata Files Associated with Species Range Models
• ranger-0.15.1 A Fast Implementation of Random Forests
• rapidjsonr-1.2.0 ‘Rapidjson’ C++ Header Files
• rappdirs-0.3.3 Application Directories: Determine Where to Save Data, Caches, and Logs
• raster-3.6-20 Geographic Data Analysis and Modeling
• rasterVis-0.51.5 Visualization Methods for Raster Data
• ratelimitr-0.4.1 Rate Limiting for R
• rbibutils-2.2.13 Read ‘Bibtex’ Files and Convert Between Bibliography Formats
• rbison-1.0.0 Interface to the ‘USGS’ ‘BISON’ API
• rcmdcheck-1.4.0 Run ‘R CMD check’ from ‘R’ and Capture Results
• rda-1.2-1 Shrunken Centroids Regularized Discriminant Analysis
• rdrop2-0.8.2.1 Programmatic Interface to the ‘Dropbox’ API
• reactR-0.4.4 React Helpers
• reactable-0.4.4 Interactive Data Tables for R
• readODS-1.8.0 Read and Write ODS Files
• readbitmap-0.1.5 Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG,TIFF)
• reader-1.0.6 Suite of Functions to Flexibly Read Data from Files
• readr-2.1.4 Read Rectangular Text Data
• readxl-1.4.2 Read Excel Files
• rebird-1.3.0 R Client for the eBird Database of Bird Observations
• recipes-1.0.6 Preprocessing and Feature Engineering Steps for Modeling
• registry-0.5-1 Infrastructure for R Package Registries
• regsem-1.9.3 Regularized Structural Equation Modeling
• relsurv-2.2-9 Relative Survival
• rematch-1.0.1 Match Regular Expressions with a Nicer ‘API’
• rematch2-2.1.2 Tidy Output from Regular Expression Matching
• remotes-2.4.2 R Package Installation from Remote Repositories, Including ‘GitHub’
• rentrez-1.2.3 ‘Entrez’ in R
• renv-0.17.3 Project Environments
• reprex-2.0.2 Prepare Reproducible Example Code via the Clipboard
• resample-0.6 Resampling Functions
• reshape-0.8.9 Flexibly Reshape Data
• reshape2-1.4.4 Flexibly Reshape Data: A Reboot of the Reshape Package
• reticulate-1.28 Interface to ‘Python’
• rex-1.2.1 Friendly Regular Expressions
• rgbif-3.7.7 Interface to the Global Biodiversity Information Facility API
• rgdal-1.6-6 Bindings for the ‘Geospatial’ Data Abstraction Library
• rgeos-0.6-3 Interface to Geometry Engine - Open Source (‘GEOS’)
• rgexf-0.16.2 Build, Import and Export GEXF Graph Files
• rgl-1.1.3 3D Visualization Using OpenGL
• ridigbio-0.3.6 Interface to the iDigBio Data API
• rio-0.5.29 A Swiss-Army Knife for Data I/O
• riskRegression-2023.03.22 Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
• ritis-1.0.0 Integrated Taxonomic Information System Client
• rjson-0.2.21 JSON for R
• rlang-1.1.1 Functions for Base Types and Core R and ‘Tidyverse’ Features
• rle-0.9.2 Common Functions for Run-Length Encoded Vectors
• rlecuyer-0.3-7 R Interface to RNG with Multiple Streams
• rlemon-0.2.1 R Access to LEMON Graph Algorithms
• rlist-0.4.6.2 A Toolbox for Non-Tabular Data Manipulation
• rmarkdown-2.21 Dynamic Documents for R
• rmeta-3.0 Meta-Analysis
• rms-6.7-0 Regression Modeling Strategies
• rncl-0.8.7 An Interface to the Nexus Class Library
• rnetcarto-0.2.6 Fast Network Modularity and Roles Computation by Simulated Annealing (Rgraph C Library Wrapper for R)
• rngWELL-0.10-9 Toolbox for WELL Random Number Generators
• rngtools-1.5.2 Utility Functions for Working with Random Number Generators
• robustbase-0.95-1 Basic Robust Statistics
• rootSolve-1.8.2.3 Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations
• roptim-0.1.6 General Purpose Optimization in R using C++
• rotl-3.0.14 Interface to the ‘Open Tree of Life’ API
• roxygen2-7.2.3 In-Line Documentation for R
• rpact-3.3.4 Confirmatory Adaptive Clinical Trial Design and Analysis
• rpart-4.1.19 Recursive Partitioning and Regression Trees
• rpf-1.0.11 Response Probability Functions
• rprojroot-2.0.3 Finding Files in Project Subdirectories
• rrcov-1.7-3 Scalable Robust Estimators with High Breakdown Point
• rredlist-0.7.1 ‘IUCN’ Red List Client
• rsconnect-0.8.29 Deployment Interface for R Markdown Documents and Shiny Applications
• rstan-2.21.8 R Interface to Stan
• rstantools-2.3.1 Tools for Developing R Packages Interfacing with ‘Stan’
• rstatix-0.7.2 Pipe-Friendly Framework for Basic Statistical Tests
• rstudioapi-0.14 Safely Access the RStudio API
• rtdists-0.11-5 Response Time Distributions
• ruv-0.9.7.1 Detect and Remove Unwanted Variation using Negative Controls
• rversions-2.1.2 Query ‘R’ Versions, Including ‘r-release’ and ‘r-oldrel’
• rvertnet-0.8.2 Search ‘Vertnet’, a ‘Database’ of Vertebrate Specimen Records
• rvest-1.0.3 Easily Harvest (Scrape) Web Pages
• rvinecopulib-0.6.3.1.1 High Performance Algorithms for Vine Copula Modeling
• s2-1.1.4 Spherical Geometry Operators Using the S2 Geometry Library
• sampling-2.9 Survey Sampling
• sandwich-3.0-2 Robust Covariance Matrix Estimators
• sass-0.4.6 Syntactically Awesome Style Sheets (‘Sass’)
• scales-1.2.1 Scale Functions for Visualization
• scam-1.2-14 Shape Constrained Additive Models
• scatterpie-0.2.0 Scatter Pie Plot
• scatterplot3d-0.3-44 3D Scatter Plot
• sctransform-0.3.5 Variance Stabilizing Transformations for Single Cell UMI Data
• seewave-2.2.0 Sound Analysis and Synthesis
• segmented-1.6-4 Regression Models with Break-Points / Change-Points (with Possibly Random Effects) Estimation
• selectr-0.4-2 Translate CSS Selectors to XPath Expressions
• sem-3.1-15 Structural Equation Models
• semPLS-1.0-10 Structural Equation Modeling Using Partial Least Squares
• semTools-0.5-6 Useful Tools for Structural Equation Modeling
• sendmailR-1.4-0 Send Email Using R
• sensemakr-0.1.4 Sensitivity Analysis Tools for Regression Models
• sentometrics-1.0.0 An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
• seqinr-4.2-30 Biological Sequences Retrieval and Analysis
• servr-0.27 A Simple HTTP Server to Serve Static Files or Dynamic Documents
• sessioninfo-1.2.2 R Session Information
• setRNG-2022.4-1 Set (Normal) Random Number Generator and Seed
• sf-1.0-13 Simple Features for R
• sfheaders-0.4.2 Converts Between R Objects and Simple Feature Objects
• sfsmisc-1.1-15 Utilities from ‘Seminar fuer Statistik’ ETH Zurich
• shadowtext-0.1.2 Shadow Text Grob and Layer
• shape-1.4.6 Functions for Plotting Graphical Shapes, Colors
• shapefiles-0.7.2 Read and Write ESRI Shapefiles
• shiny-1.7.4 Web Application Framework for R
• shinydashboard-0.7.2 Create Dashboards with ‘Shiny’
• shinyjs-2.1.0 Easily Improve the User Experience of Your Shiny Apps in Seconds
• shinystan-2.6.0 Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models
• shinythemes-1.2.0 Themes for Shiny
• signal-0.7-7 Signal Processing
• simex-1.8 SIMEX- And MCSIMEX-Algorithm for Measurement Error Models
• slam-0.1-50 Sparse Lightweight Arrays and Matrices
• sm-2.2-5.7.1 Smoothing Methods for Nonparametric Regression and Density Estimation
• smoof-1.6.0.3 Single and Multi-Objective Optimization Test Functions
• smoother-1.1 Functions Relating to the Smoothing of Numerical Data
• sn-2.1.1 The Skew-Normal and Related Distributions Such as the Skew-t and the SUN
• sna-2.7-1 Tools for Social Network Analysis
• snow-0.4-4 Simple Network of Workstations
• snowfall-1.84-6.2 Easier Cluster Computing (Based on ‘snow’)
• solrium-1.2.0 General Purpose R Interface to ‘Solr’
• som-0.3-5.1 Self-Organizing Map
• soundecology-1.3.3 Soundscape Ecology
• sourcetools-0.1.7-1 Tools for Reading, Tokenizing and Parsing R Code
• sp-1.6-1 Classes and Methods for Spatial Data
• spData-2.2.2 Datasets for Spatial Analysis
• spThin-0.2.0 Functions for Spatial Thinning of Species Occurrence Records for Use in Ecological Models
• spaMM-4.3.0 Mixed-Effect Models, with or without Spatial Random Effects
• spaa-0.2.2 SPecies Association Analysis
• spam-2.9-1 SPArse Matrix
• spatial-7.3-16 Functions for Kriging and Point Pattern Analysis
• spatstat-3.0-6 Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
• spatstat.core-2.4-4 Core Functionality of the ‘spatstat’ Family
• spatstat.data-3.0-1 Datasets for ‘spatstat’ Family
• spatstat.explore-3.2-1 Exploratory Data Analysis for the ‘spatstat’ Family
• spatstat.geom-3.2-1 Geometrical Functionality of the ‘spatstat’ Family
• spatstat.linnet-3.1-1 Linear Networks Functionality of the ‘spatstat’ Family
• spatstat.model-3.2-4 Parametric Statistical Modelling and Inference for the ‘spatstat’ Family
• spatstat.random-3.1-5 Random Generation Functionality for the ‘spatstat’ Family
• spatstat.sparse-3.0-1 Sparse Three-Dimensional Arrays and Linear Algebra Utilities
• spatstat.utils-3.0-3 Utility Functions for ‘spatstat’
• splines built in
• splitstackshape-1.4.8 Stack and Reshape Datasets After Splitting Concatenated Values
• spls-2.2-3 Sparse Partial Least Squares (SPLS) Regression and Classification
• spocc-1.2.2 Interface to Species Occurrence Data Sources
• stabledist-0.7-1 Stable Distribution Functions
• stabs-0.6-4 Stability Selection with Error Control
• stargazer-5.2.3 Well-Formatted Regression and Summary Statistics Tables
• stars-0.6-1 Spatiotemporal Arrays, Raster and Vector Data Cubes
• startupmsg-0.9.6 Utilities for Start-Up Messages
• statmod-1.5.0 Statistical Modeling
• statnet-2019.6 Software Tools for the Statistical Analysis of Network Data
• statnet.common-4.9.0 Common R Scripts and Utilities Used by the Statnet Project Software
• stats built in
• stats4 built in
• stdReg-3.4.1 Regression Standardization
• stopwords-2.3 Multilingual Stopword Lists
• stringdist-0.9.10 Approximate String Matching, Fuzzy Text Search, and String Distance Functions
• stringi-1.7.12 Fast and Portable Character String Processing Facilities
• stringr-1.5.0 Simple, Consistent Wrappers for Common String Operations
• strucchange-1.5-3 Testing, Monitoring, and Dating Structural Changes
• styler-1.10.0 Non-Invasive Pretty Printing of R Code
• subplex-1.8 Unconstrained Optimization using the Subplex Algorithm
• survey-4.2-1 Analysis of Complex Survey Samples
• survival-3.5-5 Survival Analysis
• survivalROC-1.0.3.1 Time-Dependent ROC Curve Estimation from Censored Survival Data
• svd-0.5.4 Interfaces to Various State-of-Art SVD and Eigensolvers
• swagger-3.33.1 Dynamically Generates Documentation from a ‘Swagger’ Compliant API
• symmoments-1.2.1 Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution
• sys-3.4.2 Powerful and Reliable Tools for Running System Commands in R
• systemfonts-1.0.4 System Native Font Finding
• tableone-0.13.2 Create ‘Table 1’ to Describe Baseline Characteristics with or without Propensity Score Weights
• tau-0.0-24 Text Analysis Utilities
• taxize-0.9.100 Taxonomic Information from Around the Web
• tcltk built in
• tcltk2-1.2-11 Tcl/Tk Additions
• tclust-1.5-4 Robust Trimmed Clustering
• tensor-1.5 Tensor product of arrays
• tensorA-0.36.2 Advanced Tensor Arithmetic with Named Indices
• tergm-4.2.0 Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
• terra-1.7-29 Spatial Data Analysis
• testit-0.13 A Simple Package for Testing R Packages
• testthat-3.1.8 Unit Testing for R
• textcat-1.0-8 N-Gram Based Text Categorization
• textplot-0.2.2 Text Plots
• textshaping-0.3.6 Bindings to the ‘HarfBuzz’ and ‘Fribidi’ Libraries for Text Shaping
• threejs-0.3.3 Interactive 3D Scatter Plots, Networks and Globes
• tibble-3.2.1 Simple Data Frames
• tictoc-1.2 Functions for Timing R Scripts, as Well as Implementations of “Stack” and “StackList” Structures
• tidygraph-1.2.3 A Tidy API for Graph Manipulation
• tidyr-1.3.0 Tidy Messy Data
• tidyselect-1.2.0 Select from a Set of Strings
• tidytext-0.4.1 Text Mining using ‘dplyr’, ‘ggplot2’, and Other Tidy Tools
• tidytree-0.4.2 A Tidy Tool for Phylogenetic Tree Data Manipulation
• tidyverse-2.0.0 Easily Install and Load the ‘Tidyverse’
• tiff-0.1-11 Read and Write TIFF Images
• timeDate-4022.108 Rmetrics - Chronological and Calendar Objects
• timechange-0.2.0 Efficient Manipulation of Date-Times
• timereg-2.0.5 Flexible Regression Models for Survival Data
• tinytex-0.45 Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
• tkrplot-0.0-27 TK Rplot
• tm-0.7-11 Text Mining Package
• tmap-3.3-3 Thematic Maps
• tmaptools-3.1-1 Thematic Map Tools
• tmle-1.5.0.2 Targeted Maximum Likelihood Estimation
• tmvnsim-1.0-2 Truncated Multivariate Normal Simulation
• tmvtnorm-1.5 Truncated Multivariate Normal and Student t Distribution
• tokenizers-0.3.0 Fast, Consistent Tokenization of Natural Language Text
• tools built in
• topicmodels-0.2-14 Topic Models
• tree-1.0-43 Classification and Regression Trees
• triebeard-0.4.1 ‘Radix’ Trees in ‘Rcpp’
• trimcluster-0.1-5 Cluster Analysis with Trimming
• tripack-1.3-9.1 Triangulation of Irregularly Spaced Data
• truncnorm-1.0-9 Truncated Normal Distribution
• trust-0.1-8 Trust Region Optimization
• tseries-0.10-54 Time Series Analysis and Computational Finance
• tseriesChaos-0.1-13.1 Analysis of Nonlinear Time Series
• tsna-0.3.5 Tools for Temporal Social Network Analysis
• tsne-0.1-3.1 T-Distributed Stochastic Neighbor Embedding for R (t-SNE)
• tuneR-1.4.4 Analysis of Music and Speech
• twang-2.5 Toolkit for Weighting and Analysis of Nonequivalent Groups
• tweedie-2.3.5 Evaluation of Tweedie Exponential Family Models
• tweenr-2.0.2 Interpolate Data for Smooth Animations
• tzdb-0.4.0 Time Zone Database Information
• ucminf-1.2.0 General-Purpose Unconstrained Non-Linear Optimization
• udpipe-0.8.11 Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the ‘UDPipe’ ‘NLP’ Toolkit
• umap-0.2.10.0 Uniform Manifold Approximation and Projection
• unbalanced-2.0 Racing for Unbalanced Methods Selection
• unikn-0.8.0 Graphical Elements of the University of Konstanz’s Corporate Design
• uniqueAtomMat-0.1-3-2 Finding Unique or Duplicated Rows or Columns for Atomic Matrices
• units-0.8-2 Measurement Units for R Vectors
• unmarked-1.2.5 Models for Data from Unmarked Animals
• urca-1.3-3 Unit Root and Cointegration Tests for Time Series Data
• urlchecker-1.0.1 Run CRAN URL Checks from Older R Versions
• urltools-1.7.3 Vectorised Tools for URL Handling and Parsing
• uroot-2.1-2 Unit Root Tests for Seasonal Time Series
• usethis-2.1.6 Automate Package and Project Setup
• utf8-1.2.3 Unicode Text Processing
• utils built in
• uuid-1.1-0 Tools for Generating and Handling of UUIDs
• varhandle-2.0.5 Functions for Robust Variable Handling
• vcd-1.4-11 Visualizing Categorical Data
• vcfR-1.14.0 Manipulate and Visualize VCF Data
• vctrs-0.6.2 Vector Helpers
• vegan-2.6-4 Community Ecology Package
• vioplot-0.4.0 Violin Plot
• vipor-0.4.5 Plot Categorical Data Using Quasirandom Noise and Density Estimates
• viridis-0.6.3 Colorblind-Friendly Color Maps for R
• viridisLite-0.4.2 Colorblind-Friendly Color Maps (Lite Version)
• visNetwork-2.1.2 Network Visualization using ‘vis.js’ Library
• visdat-0.6.0 Preliminary Visualisation of Data
• vroom-1.6.3 Read and Write Rectangular Text Data Quickly
• waldo-0.5.1 Find Differences Between R Objects
• waveslim-1.8.4 Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing
• wdm-0.2.3 Weighted Dependence Measures
• webshot-0.5.4 Take Screenshots of Web Pages
• webutils-1.1 Utility Functions for Developing Web Applications
• weights-1.0.4 Weighting and Weighted Statistics
• wellknown-0.7.4 Convert Between ‘WKT’ and ‘GeoJSON’
• whisker-0.4.1 for R, Logicless Templating
• widgetframe-0.3.1 ‘Htmlwidgets’ in Responsive ‘iframes’
• wikitaxa-0.4.0 Taxonomic Information from ‘Wikipedia’
• withr-2.5.0 Run Code ‘With’ Temporarily Modified Global State
• wk-0.7.3 Lightweight Well-Known Geometry Parsing
• word2vec-0.3.4 Distributed Representations of Words
• wordcloud-2.6 Word Clouds
• worrms-0.4.2 World Register of Marine Species (WoRMS) Client
• xfun-0.39 Supporting Functions for Packages Maintained by ‘Yihui Xie’
• xgboost-1.7.5.1 Extreme Gradient Boosting
• xlsx-0.6.5 Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files
• xlsxjars-0.6.1 Package required POI jars for the xlsx package
• xml2-1.3.4 Parse XML
• xopen-1.0.0 Open System Files, ‘URLs’, Anything
• xtable-1.8-4 Export Tables to LaTeX or HTML
• xts-0.13.1 eXtensible Time Series
• yaImpute-1.0-33 Nearest Neighbor Observation Imputation and Evaluation Tools
• yaml-2.3.7 Methods to Convert R Data to YAML and Back
• yulab.utils-0.0.6 Supporting Functions for Packages Maintained by ‘YuLab-SMU’
• zeallot-0.1.0 Multiple, Unpacking, and Destructuring Assignment
• zip-2.3.0 Cross-Platform ‘zip’ Compression
• zoo-1.8-12 S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations)