Known Issues
Package List
- ADGofTest-0.3 Anderson-Darling GoF test
- AICcmodavg-2.3-1 Model Selection and Multimodel Inference Based on (Q)AIC(c)
- AMAPVox-0.12.0 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-2.70 Bayesian Structure Learning in Graphical Models using
Birth-Death MCMC
- BH-1.78.0-0 Boost C++ Header Files
- BIGL-1.6.6 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-0.1.7 General-Purpose MCMC and SMC Samplers and Tools for Bayesian
Statistics
- BiasedUrn-2.0.8 Biased Urn Model Distributions
- Boruta-7.0.0 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
- CovSel-1.2.1 Model-Free Covariate Selection
- DBI-1.1.3 R Database Interface
- DEoptim-2.2-7 Global Optimization by Differential Evolution
- DEoptimR-1.0-11 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-0.26 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
- Deriv-4.1.3 Symbolic Differentiation
- DescTools-0.99.47 Tools for Descriptive Statistics
- DiagrammeR-1.0.9 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-2.0.3 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 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-1.1.3.1 Fast Nearest Neighbor Search Algorithms and Applications
- FactoMineR-2.6 Multivariate Exploratory Data Analysis and Data Mining
- FactorCopula-0.8.1 Factor, Bi-Factor and Second-Order Copula Models
- Formula-1.2-4 Extended Model Formulas
- GGally-2.1.2 Extension to ‘ggplot2’
- GJRM-0.2-6 Generalised Joint Regression Modelling
- GPArotation-2022.10-2 GPA Factor Rotation
- GSA-1.03.2 Gene Set Analysis
- GUTS-1.2.3 Fast Calculation of the Likelihood of a Stochastic Survival
Model
- GenSA-1.1.7 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
- HWxtest-1.1.9 Exact Tests for Hardy-Weinberg Proportions
- HiddenMarkov-1.8-13 Hidden Markov Models
- Hmisc-4.7-1 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
- 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-2.2 Knowledge Discovery by Accuracy Maximization
- KernSmooth-2.23-20 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-1.21 Quantitative Analysis of Mass Spectrometry Data
- MASS-7.3-58.1 Support Functions and Datasets for Venables and Ripley’s MASS
- MCMCpack-1.6-3 Markov Chain Monte Carlo (MCMC) Package
- MIIVsem-0.5.8 Model Implied Instrumental Variable (MIIV) Estimation of
Structural Equation Models
- MLmetrics-1.1.1 Machine Learning Evaluation Metrics
- MatchIt-4.4.0 Nonparametric Preprocessing for Parametric Causal Inference
- Matching-4.10-8 Multivariate and Propensity Score Matching with Balance
Optimization
- Matrix-1.5-1 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-2.20.7 Extended Structural Equation Modelling
- PCAmatchR-0.3.2 Match Cases to Controls Based on Genotype Principal Components
- 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-1.1.10 Presence-Absence Model Evaluation
- Publish-2020.12.23 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-2.12.1 Various Programming Utilities
- 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-1.98-1.9 General Network (HTTP/FTP/…) Client Interface for R
- RGCCA-2.1.2 Regularized and Sparse Generalized Canonical Correlation
Analysis for Multiblock Data
- RInside-0.2.17 C++ Classes to Embed R in C++ (and C) Applications
- RItools-0.3-1 Randomization Inference Tools
- RJSONIO-1.3-1.6 Serialize R Objects to JSON, JavaScript Object Notation
- RMTstat-0.3.1 Distributions, Statistics and Tests Derived from Random Matrix
Theory
- RNeXML-2.4.8 Semantically Rich I/O for the ‘NeXML’ Format
- ROCR-1.0-11 Visualizing the Performance of Scoring Classifiers
- ROI-1.0-0 R Optimization Infrastructure
- ROI.plugin.glpk-1.0-0 ‘ROI’ Plug-in ‘GLPK’
- RPMM-1.25 Recursively Partitioned Mixture Model
- RSNNS-0.4-14 Neural Networks using the Stuttgart Neural Network Simulator
(SNNS)
- RSQLite-2.2.18 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-0.4-44 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-1.0.9 Seamless R and C++ Integration
- RcppArmadillo-0.11.4.0.1 ‘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-0.3.12 ‘Rcpp’ Integration for ‘GNU GSL’ Vectors and Matrices
- RcppParallel-5.1.5 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-0.1.7 ‘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-0.6-4 R/GNU Linear Programming Kit Interface
- RhpcBLASctl-0.21-247.1 Control the Number of Threads on ‘BLAS’
- Rmpfr-0.8-9 R MPFR - Multiple Precision Floating-Point Reliable
- Rmpi-0.6-9.2 Interface (Wrapper) to MPI (Message-Passing Interface)
- Rook-1.1-1 HTTP Web Server for R
- Rserve-1.8-10 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
- Rttf2pt1-1.3.11 ‘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-2.2.4 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-0.7.0 Snowball Stemmers Based on the C ‘libstemmer’ UTF-8 Library
- SparseM-1.81 Sparse Linear Algebra
- StanHeaders-2.21.0-7 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-1.1-1 TH’s Data Archive
- TMB-1.9.1 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-2.2-5 Trajectory Miner: a Toolbox for Exploring and Rendering
Sequences
- UpSetR-1.4.0 A More Scalable Alternative to Venn and Euler Diagrams for
Visualizing Intersecting Sets
- V8-4.2.2 Embedded JavaScript and WebAssembly Engine for R
- VGAM-1.1-7 Vector Generalized Linear and Additive Models
- VIM-6.2.2 Visualization and Imputation of Missing Values
- VSURF-1.1.0 Variable Selection Using Random Forests
- VennDiagram-1.7.3 Generate High-Resolution Venn and Euler Plots
- VineCopula-2.4.4 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-3.99-0.12 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-4.2 Applies Multiclass AdaBoost.M1, SAMME and Bagging
- ade4-1.7-20 Analysis of Ecological Data: Exploratory and Euclidean Methods
in Environmental Sciences
- admisc-0.30 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-5.6-2 Analyses of Phylogenetics and Evolution
- argparse-2.1.6 Command Line Optional and Positional Argument Parser
- 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-0.0-3 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-1.3.2 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-3.1-4 Bayesian Inference for Marketing/Micro-Econometrics
- bayesplot-1.9.0 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
- betareg-3.1-4 Beta Regression
- bibtex-0.5.0 Bibtex Parser
- bigmemory-4.6.1 Manage Massive Matrices with Shared Memory and Memory-Mapped
Files
- bigmemory.sri-0.1.3 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.
- biomod2-4.1-2 Ensemble Platform for Species Distribution Modeling
- bit-4.0.4 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-0.4-3 Bayesian Latent Variable Analysis
- blob-1.2.3 A Simple S3 Class for Representing Vectors of Binary Data
(‘BLOBS’)
- bmp-0.3 Read Windows Bitmap (BMP) Images
- bnlearn-4.8.1 Bayesian Network Structure Learning, Parameter Learning and
Inference
- bold-1.2.0 Interface to Bold Systems API
- boot-1.3-28 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-0.1.1 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-2.18.0 Bayesian Regression Models using ‘Stan’
- broom-1.0.1 Convert Statistical Objects into Tidy Tibbles
- broom.helpers-1.9.0 Helpers for Model Coefficients Tibbles
- broom.mixed-0.2.9.4 Tidying Methods for Mixed Models
- bslib-0.4.1 Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’
- bst-0.3-23 Gradient Boosting
- cNORM-3.0.2 Continuous Norming
- cSEM-0.4.0 Composite-Based Structural Equation Modeling
- caTools-1.18.2 Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc
- cachem-1.0.6 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-3.1-1 Companion to Applied Regression
- carData-3.0-5 Companion to Applied Regression Data Sets
- caret-6.0-93 Classification and Regression Training
- catlearn-0.9.1 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.
- checkmate-2.1.0 Fast and Versatile Argument Checks
- chemometrics-1.4.2 Multivariate Statistical Analysis in Chemometrics
- chkptstanr-0.1.1 Checkpoint MCMC Sampling with ‘Stan’
- chron-2.3-58 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-7.3-20 Functions for Classification
- classInt-0.4-8 Choose Univariate Class Intervals
- cli-3.4.1 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
- clue-0.3-62 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-4.4.1 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-0.2-18 Code Analysis Tools for R
- coin-1.4-2 Conditional Inference Procedures in a Permutation Test Framework
- collapse-1.8.9 Advanced and Fast Data Transformation
- colorspace-2.0-3 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-1.8.1 High Performance CommonMark and Github Markdown Rendering in R
- compiler built in
- compositions-2.0-4 Compositional Data Analysis
- conditionz-0.1.0 Control How Many Times Conditions are Thrown
- conquer-1.3.1 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-1.1-0 Multivariate Dependence with Copulas
- corpcor-1.6.10 Efficient Estimation of Covariance and (Partial) Correlation
- corrplot-0.92 Visualization of a Correlation Matrix
- covr-3.6.1 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
- crosstalk-1.2.0 Inter-Widget Interactivity for HTML Widgets
- crul-1.3 HTTP Client
- csSAM-1.2.4 csSAM - cell-specific Significance Analysis of Microarrays
- ctmle-0.1.2 Collaborative Targeted Maximum Likelihood Estimation
- cubature-2.0.4.5 Adaptive Multivariate Integration over Hypercubes
- cubelyr-1.0.1 A Data Cube ‘dplyr’ Backend
- curl-4.3.3 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-1.14.4 Extension of
data.frame
- data.tree-1.0.0 General Purpose Hierarchical Data Structure
- datasets built in
- date-1.2-40 Functions for Handling Dates
- dbarts-0.9-22 Discrete Bayesian Additive Regression Trees Sampler
- dbplyr-2.2.1 A ‘dplyr’ Back End for Databases
- dcurver-0.9.2 Utility Functions for Davidian Curves
- ddalpha-1.3.13 Depth-Based Classification and Calculation of Data Depth
- deSolve-1.34 Solvers for Initial Value Problems of Differential Equations
(‘ODE’, ‘DAE’, ‘DDE’)
- deal-1.2-39 Learning Bayesian Networks with Mixed Variables
- debugme-1.1.0 Debug R Packages
- deldir-1.0-6 Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
- dendextend-1.16.0 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-0.6.30 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-1.3-9 Species Distribution Modeling
- distillery-1.2-1 Method Functions for Confidence Intervals and to Distill
Information from an Object
- distr-2.8.0 Object Oriented Implementation of Distributions
- distrEx-2.8.0 Extensions of Package ‘distr’
- distributional-0.3.1 Vectorised Probability Distributions
- diveRsity-1.9.90 A Comprehensive, General Purpose Population Genetics Analysis
Package
- doMC-1.3.8 Foreach Parallel Adaptor for ‘parallel’
- doParallel-1.0.17 Foreach Parallel Adaptor for the ‘parallel’ Package
- doRNG-1.8.2 Generic Reproducible Parallel Backend for ‘foreach’ Loops
- doSNOW-1.0.20 Foreach Parallel Adaptor for the ‘snow’ Package
- 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-1.0.10 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-1.2.2 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
- e1071-1.7-12 Misc Functions of the Department of Statistics, Probability
Theory Group (Formerly: E1071), TU Wien
- earth-5.3.1 Multivariate Adaptive Regression Splines
- elementR-1.3.7 An Framework for Reducing Elemental LAICPMS Data from Solid
Structures
- ellipse-0.4.3 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-1.8.2 Estimated Marginal Means, aka Least-Squares Means
- emulator-1.2-21 Bayesian Emulation of Computer Programs
- energy-1.7-10 E-Statistics: Multivariate Inference via the Energy of Data
- entropy-1.3.1 Estimation of Entropy, Mutual Information and Related Quantities
- ergm-4.2.3 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
- estimability-1.4.1 Tools for Assessing Estimability of Linear Predictions
- evaluate-0.17 Parsing and Evaluation Tools that Provide More Details than the
Default
- evd-2.3-6.1 Functions for Extreme Value Distributions
- expm-0.999-6 Matrix Exponential, Log, ‘etc’
- expsmooth-2.3 Data Sets from “Forecasting with Exponential Smoothing”
- extRemes-2.1-2 Extreme Value Analysis
- extrafont-0.18 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-1.0.3 ANSI Control Sequence Aware String Functions
- farver-2.1.1 High Performance Colour Space Manipulation
- 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-1.0.3 Fast Polygon to Raster Conversion
- fastmap-1.1.0 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-4.0.7 Memory-Efficient Storage of Large Data on Disk and Fast Access
Functions
- ffbase-0.13.3 Basic Statistical Functions for Package ‘ff’
- 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-2.4-3 Simple Key-Value Database
- finalfit-1.0.5 Quickly Create Elegant Regression Results Tables and Plots when
Modelling
- findpython-1.0.7 Functions to Find an Acceptable Python Binary
- fishMod-0.29 Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta
Log-Normal Models
- fitdistrplus-1.1-8 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-2.3-18 Flexible Mixture Modeling
- fma-2.4 Data Sets from “Forecasting: Methods and Applications” by
Makridakis, Wheelwright & Hyndman (1998)
- fmri-1.9.6 Analysis of fMRI Experiments
- fontawesome-0.4.0 Easily Work with ‘Font Awesome’ Icons
- forcats-0.5.2 Tools for Working with Categorical Variables (Factors)
- foreach-1.5.2 Provides Foreach Looping Construct
- forecast-8.18 Forecasting Functions for Time Series and Linear Models
- foreign-0.8-83 Read Data Stored by ‘Minitab’, ‘S’, ‘SAS’, ‘SPSS’, ‘Stata’,
‘Systat’, ‘Weka’, ‘dBase’, …
- formatR-1.12 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-2.2-9 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-1.5.2 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-1.28.0 Unified Parallel and Distributed Processing in R for Everyone
- future.apply-1.10.0 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-1.20.2 Generalized Additive Models
- gamlss-5.4-3 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-1.3-1 Genetic Analysis Package
- gap.datasets-0.0.5 Datasets for ‘gap’
- gapfill-0.9.6-1 Fill Missing Values in Satellite Data
- gargle-1.2.1 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-2.18.0.1 Various R Programming Tools for Data Manipulation
- gdistance-1.6 Distances and Routes on Geographical Grids
- gee-4.13-25 Generalized Estimation Equation Solver
- geepack-1.3.9 Generalized Estimating Equation Package
- geex-1.1.1 An API for M-Estimation
- geiger-2.0.10 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-0.2.0 Convert Between R Objects and Geometric Structures
- geometry-0.4.6.1 Mesh Generation and Surface Tessellation
- gert-1.9.1 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-0.6.0 Categorical Scatter (Violin Point) Plots
- ggdag-0.2.7 Analyze and Create Elegant Directed Acyclic Graphs
- ggfan-0.1.3 Summarise a Distribution Through Coloured Intervals
- ggforce-0.4.1 Accelerating ‘ggplot2’
- ggnetwork-0.5.10 Geometries to Plot Networks with ‘ggplot2’
- ggplot2-3.4.0 Create Elegant Data Visualisations Using the Grammar of Graphics
- ggpubr-0.4.0 ‘ggplot2’ Based Publication Ready Plots
- ggraph-2.1.0 An Implementation of Grammar of Graphics for Graphs and Networks
- ggrepel-0.9.1 Automatically Position Non-Overlapping Text Labels with
‘ggplot2’
- ggridges-0.5.4 Ridgeline Plots in ‘ggplot2’
- ggsci-2.9 Scientific Journal and Sci-Fi Themed Color Palettes for
‘ggplot2’
- ggsignif-0.6.4 Significance Brackets for ‘ggplot2’
- ggvis-0.4.7 Interactive Grammar of Graphics
- gh-1.3.1 ‘GitHub’ ‘API’
- git2r-0.30.1 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-1.3.1 Generalized Linear Latent Variable Models
- glmmML-1.1.4 Generalized Linear Models with Clustering
- glmmTMB-1.1.4 Generalized Linear Mixed Models using Template Model Builder
- glmnet-4.1-4 Lasso and Elastic-Net Regularized Generalized Linear Models
- globals-0.16.1 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-0.6-7 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-2.0.0 An Interface to Google Drive
- googlesheets4-1.0.1 Access Google Sheets using the Sheets API V4
- gower-1.0.0 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-0.8.3 Additional Layout Algorithms for Network Visualizations
- grf-2.2.0 Generalized Random Forests
- grid built in
- gridBase-0.4-7 Integration of base and grid graphics
- gridExtra-2.3 Miscellaneous Functions for “Grid” Graphics
- grpreg-3.4.0 Regularization Paths for Regression Models with Grouped
Covariates
- gsalib-2.2.1 Utility Functions for ‘GATK’
- gsl-2.1-7.1 Wrapper for the Gnu Scientific Library
- gsw-1.1-1 Gibbs Sea Water Functions
- gt-0.7.0 Easily Create Presentation-Ready Display Tables
- gtable-0.3.1 Arrange ‘Grobs’ in Tables
- gtools-3.9.3 Various R Programming Tools
- gtsummary-1.6.2 Presentation-Ready Data Summary and Analytic Result Tables
- h2o-3.38.0.1 R Interface for the ‘H2O’ Scalable Machine Learning Platform
- hal9001-0.4.3 The Scalable Highly Adaptive Lasso
- hardhat-1.2.0 Construct Modeling Packages
- harmony-0.1.0 Fast, Sensitive, and Accurate Integration of Single Cell Data
- hash-2.2.6.2 Full Featured Implementation of Hash Tables/Associative
Arrays/Dictionaries
- haven-2.5.1 Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files
- hdf5r-1.3.7 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-1.28.2 Hexagonal Binning Routines
- highr-0.9 Syntax Highlighting for R Source Code
- hms-1.1.2 Pretty Time of Day
- htmlTable-2.4.1 Advanced Tables for Markdown/HTML
- htmltools-0.5.3 Tools for HTML
- htmlwidgets-1.5.4 HTML Widgets for R
- httpcode-0.3.0 ‘HTTP’ Status Code Helper
- httpuv-1.6.6 HTTP and WebSocket Server Library
- httr-1.4.4 Tools for Working with URLs and HTTP
- 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-0.8.8 Irucka Embry’s Miscellaneous USGS Functions
- igraph-1.3.5 Network Analysis and Visualization
- image.binarization-0.1.3 Binarize Images for Enhancing Optical Character Recognition
- imager-0.42.13 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-0.1.0.1 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-1.1-3 Interpolation Methods
- interpretR-0.2.4 Binary Classifier and Regression Model Interpretation Functions
- intrinsicDimension-1.2.0 Intrinsic Dimension Estimation
- inum-1.0-4 Interval and Enum-Type Representation of Vectors
- ipred-0.9-13 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-0.2.6 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-2.7-4 Multilevel Joint Modelling Multiple Imputation
- jpeg-0.1-9 Read and write JPEG images
- jquerylib-0.1.4 Obtain ‘jQuery’ as an HTML Dependency Object
- jsonify-1.2.1 Convert Between ‘R’ Objects and Javascript Object Notation
(JSON)
- jsonlite-1.8.3 A Simple and Robust JSON Parser and Generator for R
- jstable-1.0.7 Create Tables from Different Types of Regression
- kde1d-1.0.5 Univariate Kernel Density Estimation
- kedd-1.0.3 Kernel Estimator and Bandwidth Selection for Density and Its
Derivatives
- kernlab-0.9-31 Kernel-Based Machine Learning Lab
- klaR-1.7-1 Classification and Visualization
- knitr-1.40 A General-Purpose Package for Dynamic Report Generation in R
- kohonen-3.0.11 Supervised and Unsupervised Self-Organising Maps
- ks-1.13.5 Kernel Smoothing
- labdsv-2.0-1 Ordination and Multivariate Analysis for Ecology
- labeling-0.4.2 Axis Labeling
- labelled-2.10.0 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-1.3.0 Utilities for Scheduling Functions to Execute Later with Event
Loops
- lattice-0.20-45 Trellis Graphics for R
- latticeExtra-0.6-30 Extra Graphical Utilities Based on Lattice
- lava-1.7.0 Latent Variable Models
- lavaan-0.6-12 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-2.0.0 Lan-DeMets Method for Group Sequential Boundaries
- leafem-0.2.0 ‘leaflet’ Extensions for ‘mapview’
- leaflet-2.1.1 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-1.1.5 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-0.8.0 Environments Behaving (Almost) as Lists
- lme4-1.1-31 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-1.5-9.6 Local Regression, Likelihood and Density Estimation
- logcondens-2.1.6 Estimate a Log-Concave Probability Density from Iid Observations
- logistf-1.24.1 Firth’s Bias-Reduced Logistic Regression
- logspline-2.1.17 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-2.5.1 Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian
Models
- lpSolve-5.6.17 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-0.6.10 Semi-Confirmatory Structural Equation Modeling via Penalized
Likelihood or Least Squares
- lubridate-1.9.0 Make Dealing with Dates a Little Easier
- lwgeom-0.2-9 Bindings to Selected ‘liblwgeom’ Functions for Simple Features
- mRMRe-2.1.2 Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
- magic-1.6-0 Create and Investigate Magic Squares
- magick-2.7.3 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-1.2.9 Map Projections
- maps-3.4.1 Draw Geographical Maps
- maptools-1.1-5 Tools for Handling Spatial Objects
- markdown-1.3 Render Markdown with ‘commonmark’
- mathjaxr-1.6-0 Using ‘Mathjax’ in Rd Files
- matlab-1.0.4 ‘MATLAB’ Emulation Package
- matrixStats-0.62.0 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
- 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
- memoise-2.0.1 ‘Memoisation’ of Functions
- memuse-4.2-2 Memory Estimation Utilities
- metadat-1.2-0 Meta-Analysis Datasets
- metafor-3.8-1 Meta-Analysis Package for R
- methods built in
- mets-1.3.1 Analysis of Multivariate Event Times
- mgcv-1.8-41 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-3.14.0 Multivariate Imputation by Chained Equations
- miceadds-3.15-21 Some Additional Multiple Imputation Functions, Especially for
‘mice’
- microbenchmark-1.4.9 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-1.2-2 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-1.37.1 Multidimensional Item Response Theory
- misc3d-0.9-1 Miscellaneous 3D Plots
- miscTools-0.6-26 Miscellaneous Tools and Utilities
- missForest-1.5 Nonparametric Missing Value Imputation using Random Forest
- mitml-0.4-3 Tools for Multiple Imputation in Multilevel Modeling
- mitools-2.4 Tools for Multiple Imputation of Missing Data
- mixtools-1.2.0 Tools for Analyzing Finite Mixture Models
- mlbench-2.1-3 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
- mltools-0.3.5 Machine Learning Tools
- mnormt-2.1.1 The Multivariate Normal and t Distributions, and Their Truncated
Versions
- modelr-0.1.9 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
- mpath-0.4-2.22 Regularized Linear Models
- msm-1.6.9 Multi-State Markov and Hidden Markov Models in Continuous Time
- mstate-0.3.2 Data Preparation, Estimation and Prediction in Multi-State
Models
- multcomp-1.4-20 Simultaneous Inference in General Parametric Models
- multcompView-0.1-8 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-0.2.7 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-0.6.1 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
- ncdf4-1.19 Interface to Unidata netCDF (Version 4 or Earlier) Format Data
Files
- network-1.18.0 Classes for Relational Data
- networkDynamic-0.11.2 Dynamic Extensions for Network Objects
- 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-3.3.3 Solve Systems of Nonlinear Equations
- nlme-3.1-160 Linear and Nonlinear Mixed Effects Models
- nloptr-2.0.3 R Interface to NLopt
- nlsem-0.8 Fitting Structural Equation Mixture Models
- nnet-7.3-18 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-1.0-10.0 Analysis of Multivariate Normal Datasets with Missing Values
- nortest-1.0-4 Tests for Normality
- np-0.60-16 Nonparametric Kernel Smoothing Methods for Mixed Data Types
- npsurv-0.5-0 Nonparametric Survival Analysis
- numDeriv-2016.8-1.1 Accurate Numerical Derivatives
- oai-0.3.2 General Purpose ‘Oai-PMH’ Services Client
- oce-1.7-10 Analysis of Oceanographic Data
- oddsratio-2.0.1 Odds Ratio Calculation for GAM(M)s & GLM(M)s
- openair-2.11 Tools for the Analysis of Air Pollution Data
- openssl-2.0.4 Toolkit for Encryption, Signatures and Certificates Based on
OpenSSL
- openxlsx-4.2.5.1 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-0.10.5 Functions for Optimal Matching
- optparse-1.7.3 Command Line Option Parser
- ordinal-2019.12-10 Regression Models for Ordinal Data
- origami-1.0.7 Generalized Framework for Cross-Validation
- orthopolynom-1.0-6.1 Collection of Functions for Orthogonal and Orthonormal
Polynomials
- outliers-0.15 Tests for Outliers
- pROC-1.18.0 Display and Analyze ROC Curves
- packrat-0.8.1 A Dependency Management System for Projects and their R Package
Dependencies
- pacman-0.5.1 Package Management Tool
- pammtools-0.5.8 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
- parallelMap-1.5.1 Unified Interface to Parallelization Back-Ends
- parallelly-1.32.1 Enhancing the ‘parallel’ Package
- parsedate-1.3.1 Recognize and Parse Dates in Various Formats, Including All ISO
8601 Formats
- party-1.3-11 A Laboratory for Recursive Partytioning
- partykit-1.2-16 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-1.5-0 Adding Progress Bar to ‘*apply’ Functions
- pbivnorm-0.6.0 Vectorized Bivariate Normal CDF
- pbkrtest-0.5.1 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-2022.05.04 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-1.4 Parallelised Estimation of Prediction Error
- permute-0.9-7 Functions for Generating Restricted Permutations of Data
- phangorn-2.10.0 Phylogenetic Reconstruction and Analysis
- pheatmap-1.0.12 Pretty Heatmaps
- phylobase-0.8.10 Base Package for Phylogenetic Structures and Comparative Data
- phytools-1.2-0 Phylogenetic Tools for Comparative Biology (and Other Things)
- pillar-1.8.1 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-1.3.1 Find Tools Needed to Build R Packages
- pkgconfig-2.0.3 Private Configuration for ‘R’ Packages
- pkgdown-2.0.6 Make Static HTML Documentation for a Package
- pkgload-1.3.1 Simulate Package Installation and Attach
- pkgmaker-0.32.2 Development Utilities for R Packages
- plogr-0.2.0 The ‘plog’ C++ Logging Library
- plot3D-1.4 Plotting Multi-Dimensional Data
- plot3Drgl-1.0.3 Plotting Multi-Dimensional Data - Using ‘rgl’
- plotly-4.10.0 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-2.8-1 Partial Least Squares and Principal Component Regression
- plyr-1.8.7 Tools for Splitting, Applying and Combining Data
- png-0.1-7 Read and write PNG images
- poLCA-1.6.0.1 Polytomous Variable Latent Class Analysis
- polspline-1.1.20 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-1.3.1 Tools for Working with Posterior Distributions
- 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-3.8.0 Execute and Control System Processes
- prodlim-2019.11.13 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-0.3.7 Interactive Visualizations for Profiling R Code
- progress-1.2.2 Terminal Progress Bars
- progressr-0.11.0 An Inclusive, Unifying API for Progress Updates
- projpred-2.2.1 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
- pryr-0.1.5 Tools for Computing on the Language
- ps-1.7.2 List, Query, Manipulate System Processes
- pscl-1.5.5 Political Science Computational Laboratory
- pspline-1.0-19 Penalized Smoothing Splines
- psych-2.2.9 Procedures for Psychological, Psychometric, and Personality
Research
- pulsar-0.3.8 Parallel Utilities for Lambda Selection along a Regularization
Path
- purrr-0.3.5 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-1.9.2 Graph Plotting Methods, Psychometric Data Visualization and
Graphical Model Estimation
- qqman-0.1.8 Q-Q and Manhattan Plots for GWAS Data
- qrnn-2.0.5 Quantile Regression Neural Network
- quadprog-1.5-8 Functions to Solve Quadratic Programming Problems
- quantmod-0.4.20 Quantitative Financial Modelling Framework
- quantreg-5.94 Quantile Regression
- questionr-0.7.7 Functions to Make Surveys Processing Easier
- rJava-1.0-6 Low-Level R to Java Interface
- ragg-1.2.4 Graphic Devices Based on AGG
- randomForest-4.7-1.1 Breiman and Cutler’s Random Forests for Classification and
Regression
- randomForestSRC-3.1.1 Fast Unified Random Forests for Survival, Regression, and
Classification (RF-SRC)
- randtoolbox-2.0.2 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-0.14.1 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-3.6-3 Geographic Data Analysis and Modeling
- rasterVis-0.51.2 Visualization Methods for Raster Data
- ratelimitr-0.4.1 Rate Limiting for R
- rbibutils-2.2.9 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-1.0.2-2.1 Shrunken Centroids Regularized Discriminant Analysis
- rdrop2-0.8.2.1 Programmatic Interface to the ‘Dropbox’ API
- readODS-1.7.0 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-2.1.3 Read Rectangular Text Data
- readxl-1.4.1 Read Excel Files
- rebird-1.3.0 R Client for the eBird Database of Bird Observations
- recipes-1.0.2 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-2.2-8 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-0.16.0 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-1.26 Interface to ‘Python’
- rex-1.2.1 Friendly Regular Expressions
- rgbif-3.7.3 Interface to the Global Biodiversity Information Facility API
- rgdal-1.5-32 Bindings for the ‘Geospatial’ Data Abstraction Library
- rgeos-0.5-9 Interface to Geometry Engine - Open Source (‘GEOS’)
- rgexf-0.16.2 Build, Import and Export GEXF Graph Files
- rgl-0.110.2 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-2022.09.23 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-1.0.6 Functions for Base Types and Core R and ‘Tidyverse’ Features
- rle-0.9.2 Common Functions for Run-Length Encoded Vectors
- rlecuyer-0.3-5 R Interface to RNG with Multiple Streams
- rlemon-0.2.0 R Access to LEMON Graph Algorithms
- rmarkdown-2.17 Dynamic Documents for R
- rmeta-3.0 Meta-Analysis
- rms-6.3-0 Regression Modeling Strategies
- rncl-0.8.6 An Interface to the Nexus Class Library
- rnetcarto-0.2.5 Fast Network Modularity and Roles Computation by Simulated
Annealing (Rgraph C Library Wrapper for R)
- rngWELL-0.10-8 Toolbox for WELL Random Number Generators
- rngtools-1.5.2 Utility Functions for Working with Random Number Generators
- robustbase-0.95-0 Basic Robust Statistics
- rootSolve-1.8.2.3 Nonlinear Root Finding, Equilibrium and Steady-State Analysis of
Ordinary Differential Equations
- rotl-3.0.14 Interface to the ‘Open Tree of Life’ API
- roxygen2-7.2.1 In-Line Documentation for R
- rpact-3.3.2 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-1.7-2 Scalable Robust Estimators with High Breakdown Point
- rredlist-0.7.0 ‘IUCN’ Red List Client
- rsconnect-0.8.28 Deployment Interface for R Markdown Documents and Shiny
Applications
- rstan-2.21.7 R Interface to Stan
- rstantools-2.2.0 Tools for Developing R Packages Interfacing with ‘Stan’
- rstatix-0.7.0 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-0.6.2.1.2 High Performance Algorithms for Vine Copula Modeling
- s2-1.1.0 Spherical Geometry Operators Using the S2 Geometry Library
- sampling-2.9 Survey Sampling
- sandwich-3.0-2 Robust Covariance Matrix Estimators
- sass-0.4.2 Syntactically Awesome Style Sheets (‘Sass’)
- scales-1.2.1 Scale Functions for Visualization
- scam-1.2-13 Shape Constrained Additive Models
- scatterplot3d-0.3-42 3D Scatter Plot
- sctransform-0.3.5 Variance Stabilizing Transformations for Single Cell UMI Data
- seewave-2.2.0 Sound Analysis and Synthesis
- segmented-1.6-0 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-1.2-1.1 Send Email using R
- sensemakr-0.1.4 Sensitivity Analysis Tools for Regression Models
- seqinr-4.2-16 Biological Sequences Retrieval and Analysis
- servr-0.25 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-1.0-8 Simple Features for R
- sfheaders-0.4.0 Converts Between R Objects and Simple Feature Objects
- sfsmisc-1.1-13 Utilities from ‘Seminar fuer Statistik’ ETH Zurich
- shape-1.4.6 Functions for Plotting Graphical Shapes, Colors
- shapefiles-0.7.2 Read and Write ESRI Shapefiles
- shiny-1.7.3 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
- smoother-1.1 Functions Relating to the Smoothing of Numerical Data
- sn-2.1.0 The Skew-Normal and Related Distributions Such as the Skew-t and
the SUN
- sna-2.7 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 Tools for Reading, Tokenizing and Parsing R Code
- sp-1.5-0 Classes and Methods for Spatial Data
- spData-2.2.0 Datasets for Spatial Analysis
- spThin-0.2.0 Functions for Spatial Thinning of Species Occurrence Records for
Use in Ecological Models
- spaMM-4.0.0 Mixed-Effect Models, with or without Spatial Random Effects
- spaa-0.2.2 SPecies Association Analysis
- spam-2.9-1 SPArse Matrix
- spatial-7.3-15 Functions for Kriging and Point Pattern Analysis
- spatstat-2.3-4 Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
- spatstat.core-2.4-4 Core Functionality of the ‘spatstat’ Family
- spatstat.data-3.0-0 Datasets for ‘spatstat’ Family
- spatstat.geom-3.0-3 Geometrical Functionality of the ‘spatstat’ Family
- spatstat.linnet-2.3-2 Linear Networks Functionality of the ‘spatstat’ Family
- spatstat.random-3.0-1 Random Generation Functionality for the ‘spatstat’ Family
- spatstat.sparse-3.0-0 Sparse Three-Dimensional Arrays and Linear Algebra Utilities
- spatstat.utils-3.0-1 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-1.2.0 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-0.5-6 Spatiotemporal Arrays, Raster and Vector Data Cubes
- startupmsg-0.9.6 Utilities for Start-Up Messages
- statmod-1.4.37 Statistical Modeling
- statnet-2019.6 Software Tools for the Statistical Analysis of Network Data
- statnet.common-4.7.0 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-0.9.9 Approximate String Matching, Fuzzy Text Search, and String
Distance Functions
- stringi-1.7.8 Fast and Portable Character String Processing Facilities
- stringr-1.4.1 Simple, Consistent Wrappers for Common String Operations
- strucchange-1.5-3 Testing, Monitoring, and Dating Structural Changes
- styler-1.8.0 Non-Invasive Pretty Printing of R Code
- subplex-1.8 Unconstrained Optimization using the Subplex Algorithm
- survey-4.1-1 Analysis of Complex Survey Samples
- survival-3.4-0 Survival Analysis
- survivalROC-1.0.3 Time-dependent ROC curve estimation from censored survival data
- svd-0.5.2 Interfaces to Various State-of-Art SVD and Eigensolvers
- symmoments-1.2.1 Symbolic Central and Noncentral Moments of the Multivariate
Normal Distribution
- sys-3.4.1 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
- taxize-0.9.100 Taxonomic Information from Around the Web
- tcltk built in
- tcltk2-1.2-11 Tcl/Tk Additions
- tclust-1.5-2 Robust Trimmed Clustering
- tensor-1.5 Tensor product of arrays
- tensorA-0.36.2 Advanced Tensor Arithmetic with Named Indices
- tergm-4.1.0 Fit, Simulate and Diagnose Models for Network Evolution Based on
Exponential-Family Random Graph Models
- terra-1.6-17 Spatial Data Analysis
- testit-0.13 A Simple Package for Testing R Packages
- testthat-3.1.5 Unit Testing for R
- 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-3.1.8 Simple Data Frames
- tictoc-1.1 Functions for Timing R Scripts, as Well as Implementations of
“Stack” and “List” Structures
- tidygraph-1.2.2 A Tidy API for Graph Manipulation
- tidyr-1.2.1 Tidy Messy Data
- tidyselect-1.2.0 Select from a Set of Strings
- tidytext-0.3.4 Text Mining using ‘dplyr’, ‘ggplot2’, and Other Tidy Tools
- tidyverse-1.3.2 Easily Install and Load the ‘Tidyverse’
- tiff-0.1-11 Read and Write TIFF Images
- timeDate-4021.106 Rmetrics - Chronological and Calendar Objects
- timechange-0.1.1 Efficient Manipulation of Date-Times
- timereg-2.0.3 Flexible Regression Models for Survival Data
- tinytex-0.42 Helper Functions to Install and Maintain TeX Live, and Compile
LaTeX Documents
- tkrplot-0.0-27 TK Rplot
- tm-0.7-9 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-0.2.3 Fast, Consistent Tokenization of Natural Language Text
- tools built in
- topicmodels-0.2-12 Topic Models
- tree-1.0-42 Classification and Regression Trees
- triebeard-0.3.0 ‘Radix’ Trees in ‘Rcpp’
- trimcluster-0.1-5 Cluster Analysis with Trimming
- tripack-1.3-9.1 Triangulation of Irregularly Spaced Data
- truncnorm-1.0-8 Truncated Normal Distribution
- trust-0.1-8 Trust Region Optimization
- tseries-0.10-52 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-1.4.1 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-0.3.0 Time Zone Database Information
- ucminf-1.1-4.1 General-Purpose Unconstrained Non-Linear Optimization
- unbalanced-2.0 Racing for Unbalanced Methods Selection
- uniqueAtomMat-0.1-3-2 Finding Unique or Duplicated Rows or Columns for Atomic Matrices
- units-0.8-0 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
- utf8-1.2.2 Unicode Text Processing
- utils built in
- uuid-1.1-0 Tools for Generating and Handling of UUIDs
- vcd-1.4-10 Visualizing Categorical Data
- vcfR-1.13.0 Manipulate and Visualize VCF Data
- vctrs-0.5.0 Vector Helpers
- vegan-2.6-4 Community Ecology Package
- vioplot-0.3.7 Violin Plot
- vipor-0.4.5 Plot Categorical Data Using Quasirandom Noise and Density
Estimates
- viridis-0.6.2 Colorblind-Friendly Color Maps for R
- viridisLite-0.4.1 Colorblind-Friendly Color Maps (Lite Version)
- visNetwork-2.1.2 Network Visualization using ‘vis.js’ Library
- visdat-0.5.3 Preliminary Visualisation of Data
- vroom-1.6.0 Read and Write Rectangular Text Data Quickly
- waldo-0.4.0 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
- weights-1.0.4 Weighting and Weighted Statistics
- wellknown-0.7.4 Convert Between ‘WKT’ and ‘GeoJSON’
- whisker-0.4 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-0.7.0 Lightweight Well-Known Geometry Parsing
- wordcloud-2.6 Word Clouds
- worrms-0.4.2 World Register of Marine Species (WoRMS) Client
- xfun-0.34 Supporting Functions for Packages Maintained by ‘Yihui Xie’
- xgboost-1.6.0.1 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
- xml2-1.3.3 Parse XML
- xopen-1.0.0 Open System Files, ‘URLs’, Anything
- xtable-1.8-4 Export Tables to LaTeX or HTML
- xts-0.12.2 eXtensible Time Series
- yaImpute-1.0-33 Nearest Neighbor Observation Imputation and Evaluation Tools
- yaml-2.3.6 Methods to Convert R Data to YAML and Back
- zeallot-0.1.0 Multiple, Unpacking, and Destructuring Assignment
- zip-2.2.2 Cross-Platform ‘zip’ Compression
- zoo-1.8-11 S3 Infrastructure for Regular and Irregular Time Series (Z’s
Ordered Observations)