R-3.6.1-foss-2019b
Updated: September 17, 2020
Edit this Page via GitHub Comment by Filing an Issue Have Questions? Ask them here.Known Issues
- None
Package List
- ADGofTest-0.3 Anderson-Darling GoF test
- AUC-0.3.0 Threshold independent performance measures for probabilistic<U+000a>classifiers.
- AlgDesign-1.1-7.3 Algorithmic Experimental Design
- BB-2014.10-1 Solving and Optimizing Large-Scale Nonlinear Systems
- BBmisc-1.11 Miscellaneous Helper Functions for B. Bischl
- BCEE-1.2 The Bayesian Causal Effect Estimation Algorithm
- BDgraph-2.61 Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
- BH-1.69.0-1 Boost C++ Header Files
- BMA-3.18.9 Bayesian Model Averaging
- BatchJobs-1.8 Batch Computing with R
- BayesPen-1.0 Bayesian Penalized Credible Regions
- BayesianTools-0.1.6 General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
- BiasedUrn-1.07 Biased Urn Model Distributions
- Boruta-6.0.0 Wrapper Algorithm for All Relevant Feature Selection
- Brobdingnag-1.2-6 Very Large Numbers in R
- CVST-0.2-2 Fast Cross-Validation via Sequential Testing
- Cairo-1.5-10 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
- CovSel-1.2.1 Model-Free Covariate Selection
- DBI-1.0.0 R Database Interface
- DEoptimR-1.0-8 Differential Evolution Optimization in Pure R
- DHARMa-0.2.4 Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
- DRR-0.0.3 Dimensionality Reduction via Regression
- DT-0.9 A Wrapper of the JavaScript Library ‘DataTables’
- DTRreg-1.4 DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)
- Deriv-3.9.0 Symbolic Differentiation
- DiagrammeR-1.0.1 Graph/Network Visualization
- DiscriMiner-0.1-29 Tools of the Trade for Discriminant Analysis
- DistributionUtils-0.6-0 Distribution Utilities
- EasyABC-1.5 Efficient Approximate Bayesian Computation Sampling Schemes
- FME-1.3.5 A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis
- FNN-1.1.3 Fast Nearest Neighbor Search Algorithms and Applications
- FactoMineR-1.42 Multivariate Exploratory Data Analysis and Data Mining
- Formula-1.2-3 Extended Model Formulas
- GGally-1.4.0 Extension to ‘ggplot2’
- GSA-1.03.1 Gene Set Analysis
- GUTS-1.1.1 Fast Calculation of the Likelihood of a Stochastic Survival Model
- GenSA-1.1.7 Generalized Simulated Annealing
- GeneNet-1.2.13 Modeling and Inferring Gene Networks
- GetoptLong-0.1.7 Parsing Command-Line Arguments and Simple Variable Interpolation
- GillespieSSA-0.6.1 Gillespie’s Stochastic Simulation Algorithm (SSA)
- GlobalOptions-0.1.0 Generate Functions to Get or Set Global Options
- HWxtest-1.1.9 Exact Tests for Hardy-Weinberg Proportions
- Hmisc-4.2-0 Harrell Miscellaneous
- IDPmisc-1.1.19 ‘Utilities of Institute of Data Analyses and Process Design (www.zhaw.ch/idp)’
- Iso-0.0-18 Functions to Perform Isotonic Regression
- JBTools-0.7.2.9 Misc Small Tools and Helper Functions for Other Code of J. Buttlar
- KODAMA-1.5 Knowledge Discovery by Accuracy Maximization
- KernSmooth-2.23-15 Functions for Kernel Smoothing Supporting Wand & Jones (1995)
- LaplacesDemon-16.1.1 Complete Environment for Bayesian Inference
- LearnBayes-2.15.1 Functions for Learning Bayesian Inference
- Lmoments-1.3-1 L-Moments and Quantile Mixtures
- MALDIquant-1.19.3 Quantitative Analysis of Mass Spectrometry Data
- MASS-7.3-51.4 Support Functions and Datasets for Venables and Ripley’s MASS
- MCMCpack-1.4-4 Markov Chain Monte Carlo (MCMC) Package
- MIIVsem-0.5.4 Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
- MatchIt-3.0.2 Nonparametric Preprocessing for Parametric Causal Inference
- Matching-4.9-6 Multivariate and Propensity Score Matching with Balance Optimization
- Matrix-1.2-17 Sparse and Dense Matrix Classes and Methods
- MatrixModels-0.4-1 Modelling with Sparse And Dense Matrices
- ModelMetrics-1.2.2 Rapid Calculation of Model Metrics
- NLP-0.2-0 Natural Language Processing Infrastructure
- NMF-0.21.0 Algorithms and Framework for Nonnegative Matrix Factorization (NMF)
- OceanView-1.0.4 Visualisation of Oceanographic Data and Model Output
- ParamHelpers-1.12 Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
- PoissonSeq-1.1.2 Significance analysis of sequencing data based on a Poisson log linear model
- PresenceAbsence-1.1.9 Presence-Absence Model Evaluation.
- R.cache-0.13.0 Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
- R.matlab-3.6.2 Read and Write MAT Files and Call MATLAB from Within R
- R.methodsS3-1.7.1 S3 Methods Simplified
- R.oo-1.22.0 R Object-Oriented Programming with or without References
- R.rsp-0.43.1 Dynamic Generation of Scientific Reports
- R.utils-2.9.0 Various Programming Utilities
- R6-2.4.0 Encapsulated Classes with Reference Semantics
- RANN-2.6.1 Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
- RCircos-1.2.1 Circos 2D Track Plot
- RColorBrewer-1.1-2 ColorBrewer Palettes
- RCurl-1.95-4.12 General Network (HTTP/FTP/…) Client Interface for R
- RGCCA-2.1.2 Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
- RInside-0.2.15 C++ Classes to Embed R in C++ (and C) Applications
- RItools-0.1-17 Randomization Inference Tools
- RJSONIO-1.3-1.2 Serialize R Objects to JSON, JavaScript Object Notation
- RMTstat-0.3 Distributions, Statistics and Tests derived from Random Matrix<U+000a>Theory
- RNeXML-2.3.0 Semantically Rich I/O for the ‘NeXML’ Format
- ROCR-1.0-7 Visualizing the Performance of Scoring Classifiers
- RSNNS-0.4-12 Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
- RSQLite-2.1.2 ‘SQLite’ Interface for R
- RUnit-0.4.32 R Unit Test Framework
- RWeka-0.4-40 R/Weka Interface
- RWekajars-3.9.3-1 R/Weka Interface Jars
- Rcpp-1.0.2 Seamless R and C++ Integration
- RcppArmadillo-0.9.700.2.0 ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library
- RcppEigen-0.3.3.5.0 ‘Rcpp’ Integration for the ‘Eigen’ Templated Linear Algebra Library
- RcppGSL-0.3.6 ‘Rcpp’ Integration for ‘GNU GSL’ Vectors and Matrices
- RcppProgress-0.4.1 An Interruptible Progress Bar with OpenMP Support for C++ in R Packages
- RcppRoll-0.3.0 Efficient Rolling / Windowed Operations
- Rdpack-0.11-0 Update and Manipulate Rd Documentation Objects
- Rmpi-0.6-9 Interface (Wrapper) to MPI (Message-Passing Interface)
- Rook-1.1-1 Rook - a web server interface for R
- Rserve-1.7-3.1 Binary R server
- Rssa-1.0 A Collection of Methods for Singular Spectrum Analysis
- Rtsne-0.15 T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
- Rttf2pt1-1.3.7 ‘ttf2pt1’ Program
- SDMTools-1.1-221.1 Species Distribution Modelling Tools: Tools for processing data associated with species distribution modelling exercises
- SKAT-1.3.2.1 SNP-Set (Sequence) Kernel Association Test
- SQUAREM-2017.10-1 Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
- SignifReg-2.1 Consistent Significance Controlled Variable Selection in Linear Regression
- SimSeq-1.4.0 Nonparametric Simulation of RNA-Seq Data
- SparseM-1.77 Sparse Linear Algebra
- SuperLearner-2.0-25 Super Learner Prediction
- SuppDists-1.1-9.4 Supplementary Distributions
- TH.data-1.0-10 TH’s Data Archive
- TMB-1.7.15 Template Model Builder: A General Random Effect Tool Inspired by ‘ADMB’
- TTR-0.23-5 Technical Trading Rules
- TeachingDemos-2.10 Demonstrations for Teaching and Learning
- TraMineR-2.0-12 Trajectory Miner: a Toolbox for Exploring and Rendering Sequences
- VGAM-1.1-1 Vector Generalized Linear and Additive Models
- VIM-4.8.0 Visualization and Imputation of Missing Values
- VennDiagram-1.6.20 Generate High-Resolution Venn and Euler Plots
- WikidataR-1.4.0 API Client Library for ‘Wikidata’
- WikipediR-1.5.0 A MediaWiki API Wrapper
- WriteXLS-5.0.0 Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files
- XML-3.98-1.20 Tools for Parsing and Generating XML Within R and S-Plus
- abc-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
- ade4-1.7-13 Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
- aggregation-1.0.1 p-Value Aggregation Methods
- akima-0.6-2 Interpolation of Irregularly and Regularly Spaced Data
- animation-2.6 A Gallery of Animations in Statistics and Utilities to Create Animations
- aod-1.3.1 Analysis of Overdispersed Data
- ape-5.3 Analyses of Phylogenetics and Evolution
- arm-1.10-1 Data Analysis Using Regression and Multilevel/Hierarchical Models
- askpass-1.1 Safe Password Entry for R, Git, and SSH
- asnipe-1.1.12 Animal Social Network Inference and Permutations for Ecologists
- assertthat-0.2.1 Easy Pre and Post Assertions
- audio-0.1-6 Audio Interface for R
- backports-1.1.4 Reimplementations of Functions Introduced Since R-3.0.0
- bacr-1.0.1 Bayesian Adjustment for Confounding
- bartMachine-1.2.4.2 Bayesian Additive Regression Trees
- bartMachineJARs-1.1 bartMachine JARs
- base built in
- base64-2.0 Base64 Encoder and Decoder
- base64enc-0.1-3 Tools for base64 encoding
- bayesm-3.1-3 Bayesian Inference for Marketing/Micro-Econometrics
- bdsmatrix-1.3-3 Routines for Block Diagonal Symmetric Matrices
- beanplot-1.2 Visualization via Beanplots (like Boxplot/Stripchart/Violin<U+000a>Plot)
- beeswarm-0.2.3 The Bee Swarm Plot, an Alternative to Stripchart
- bibtex-0.4.2 Bibtex Parser
- bigmemory-4.5.33 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-2.3-4 Biological Structure Analysis
- biom-0.3.12 An interface package (beta) for the BIOM file format.
- bit-1.1-14 Classes and Methods for Fast Memory-Efficient Boolean Selections
- bit64-0.9-7 A S3 Class for Vectors of 64bit Integers
- bitops-1.0-6 Bitwise Operations
- blob-1.2.0 A Simple S3 Class for Representing Vectors of Binary Data (‘BLOBS’)
- bmp-0.3 Read Windows Bitmap (BMP) Images
- bnlearn-4.5 Bayesian Network Structure Learning, Parameter Learning and Inference
- bold-0.9.0 Interface to Bold Systems API
- boot-1.3-23 Bootstrap Functions (Originally by Angelo Canty for S)
- bootstrap-2019.6 Functions for the Book “An Introduction to the Bootstrap”
- brew-1.0-6 Templating Framework for Report Generation
- brglm-0.6.2 Bias Reduction in Binomial-Response Generalized Linear Models
- bridgedist-0.1.0 An Implementation of the Bridge Distribution with Logit-Link as in Wang and Louis (2003)
- bridgesampling-0.7-2 Bridge Sampling for Marginal Likelihoods and Bayes Factors
- broom-0.5.2 Convert Statistical Objects into Tidy Tibbles
- bst-0.3-17 Gradient Boosting
- caTools-1.17.1.2 Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc
- calibrate-1.7.2 Calibration of Scatterplot and Biplot Axes
- callr-3.3.2 Call R from R
- car-3.0-3 Companion to Applied Regression
- carData-3.0-2 Companion to Applied Regression Data Sets
- caret-6.0-84 Classification and Regression Training
- 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-1.9.4 Fast and Versatile Argument Checks
- chemometrics-1.4.2 Multivariate Statistical Analysis in Chemometrics
- chron-2.3-54 Chronological Objects which can Handle Dates and Times
- circlize-0.4.8 Circular Visualization
- circular-0.4-93 Circular Statistics
- clValid-0.6-6 Validation of Clustering Results
- class-7.3-15 Functions for Classification
- classInt-0.4-1 Choose Univariate Class Intervals
- cli-1.1.0 Helpers for Developing Command Line Interfaces
- clipr-0.7.0 Read and Write from the System Clipboard
- clisymbols-1.2.0 Unicode Symbols at the R Prompt
- clue-0.3-57 Cluster Ensembles
- cluster-2.1.0 “Finding Groups in Data”: Cluster Analysis Extended Rousseeuw et al.
- clusterGeneration-1.3.4 Random Cluster Generation (with Specified Degree of Separation)
- clusterRepro-0.9 Reproducibility of Gene Expression Clusters
- clustree-0.4.1 Visualise Clusterings at Different Resolutions
- cobs-1.3-3 Constrained B-Splines (Sparse Matrix Based)
- coda-0.19-3 Output Analysis and Diagnostics for MCMC
- codetools-0.2-16 Code Analysis Tools for R
- coin-1.3-1 Conditional Inference Procedures in a Permutation Test Framework
- colorspace-1.4-1 A Toolbox for Manipulating and Assessing Colors and Palettes
- combinat-0.0-8 combinatorics utilities
- commonmark-1.7 High Performance CommonMark and Github Markdown Rendering in R
- compositions-1.40-2 Compositional Data Analysis
- corpcor-1.6.9 Efficient Estimation of Covariance and (Partial) Correlation
- covr-3.3.1 Test Coverage for Packages
- cowplot-1.0.0 Streamlined Plot Theme and Plot Annotations for ‘ggplot2’
- crayon-1.3.4 Colored Terminal Output
- crosstalk-1.0.0 Inter-Widget Interactivity for HTML Widgets
- crul-0.8.4 HTTP Client
- csSAM-1.2.4 csSAM - cell-specific Significance Analysis of Microarrays
- ctmle-0.1.1 Collaborative Targeted Maximum Likelihood Estimation
- cubature-2.0.3 Adaptive Multivariate Integration over Hypercubes
- curl-4.2 A Modern and Flexible Web Client for R
- cvAUC-1.1.0 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
- data.table-1.12.2 Extension of
data.frame
- datasets built in
- dbplyr-1.4.2 A ‘dplyr’ Back End for Databases
- ddalpha-1.3.9 Depth-Based Classification and Calculation of Data Depth
- deSolve-1.24 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-0.1-23 Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
- dendextend-1.12.0 Extending ‘dendrogram’ Functionality in R
- desc-1.2.0 Manipulate DESCRIPTION Files
- devtools-2.2.1 Tools to Make Developing R Packages Easier
- diagram-1.6.4 Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams
- dichromat-2.0-0 Color Schemes for Dichromats
- digest-0.6.21 Create Compact Hash Digests of R Objects
- dimRed-0.2.3 A Framework for Dimensionality Reduction
- diptest-0.75-7 Hartigan’s Dip Test Statistic for Unimodality - Corrected
- dismo-1.1-4 Species Distribution Modeling
- distillery-1.0-6 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’
- diveRsity-1.9.90 A Comprehensive, General Purpose Population Genetics Analysis Package
- doMC-1.3.6 Foreach Parallel Adaptor for ‘parallel’
- doParallel-1.0.15 Foreach Parallel Adaptor for the ‘parallel’ Package
- doRNG-1.7.1 Generic Reproducible Parallel Backend for ‘foreach’ Loops
- doSNOW-1.0.18 Foreach Parallel Adaptor for the ‘snow’ Package
- dotCall64-1.0-0 Enhanced Foreign Function Interface Supporting Long Vectors
- downloader-0.4 Download Files over HTTP and HTTPS
- dplyr-0.8.3 A Grammar of Data Manipulation
- dr-3.0.10 Methods for Dimension Reduction for Regression
- dtangle-0.3.1 Cell Type Deconvolution from Gene Expressions
- dtw-1.21-3 Dynamic Time Warping Algorithms
- dummies-1.5.6 Create dummy/indicator variables flexibly and efficiently
- dynamicTreeCut-1.63-1 Methods for Detection of Clusters in Hierarchical Clustering Dendrograms
- e1071-1.7-2 Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
- ellipse-0.4.1 Functions for Drawing Ellipses and Ellipse-Like Confidence Regions
- ellipsis-0.3.0 Tools for Working with …
- emulator-1.2-20 Bayesian Emulation of Computer Programs
- energy-1.7-6 E-Statistics: Multivariate Inference via the Energy of Data
- ergm-3.10.4 Fit, Simulate and Diagnose Exponential-Family Models for Networks
- ergm.count-3.4.0 Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
- evaluate-0.14 Parsing and Evaluation Tools that Provide More Details than the Default
- expm-0.999-4 Matrix Exponential, Log, ‘etc’
- expsmooth-2.3 Data Sets from “Forecasting with Exponential Smoothing”
- extRemes-2.0-10 Extreme Value Analysis
- extrafont-0.17 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-0.4.0 ANSI Control Sequence Aware String Functions
- farver-1.1.0 High Performance Colour Space Manipulation
- fastICA-1.2-2 FastICA Algorithms to Perform ICA and Projection Pursuit
- fastcluster-1.1.25 Fast Hierarchical Clustering Routines for R and ‘Python’
- fastmatch-1.1-0 Fast match() function
- fdrtool-1.2.15 Estimation of (Local) False Discovery Rates and Higher Criticism
- feather-0.3.5 R Bindings to the Feather ‘API’
- ff-2.2-14 Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
- ffbase-0.12.7 Basic Statistical Functions for Package ‘ff’
- fftw-1.0-5 Fast FFT and DCT Based on the FFTW Library
- fftwtools-0.9-8 Wrapper for ‘FFTW3’ Includes: One-Dimensional Univariate, One-Dimensional Multivariate, and Two-Dimensional Transform
- fields-9.8-6 Tools for Spatial Data
- filehash-2.4-2 Simple Key-Value Database
- fishMod-0.29 Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta Log-Normal Models
- fitdistrplus-1.0-14 Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
- flashClust-1.01-2 Implementation of optimal hierarchical clustering
- flexclust-1.4-0 Flexible Cluster Algorithms
- flexmix-2.3-15 Flexible Mixture Modeling
- fma-2.3 Data Sets from “Forecasting: Methods and Applications” by Makridakis, Wheelwright & Hyndman (1998)
- forcats-0.4.0 Tools for Working with Categorical Variables (Factors)
- foreach-1.4.7 Provides Foreach Looping Construct
- forecast-8.9 Forecasting Functions for Time Series and Linear Models
- foreign-0.8-72 Read Data Stored by ‘Minitab’, ‘S’, ‘SAS’, ‘SPSS’, ‘Stata’, ‘Systat’, ‘Weka’, ‘dBase’, …
- formatR-1.7 Format R Code Automatically
- fossil-0.3.7 Palaeoecological and Palaeogeographical Analysis Tools
- fpc-2.2-3 Flexible Procedures for Clustering
- fpp-0.5 Data for “Forecasting: principles and practice”
- fracdiff-1.4-2 Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models
- fs-1.3.1 Cross-Platform File System Operations Based on ‘libuv’
- futile.logger-1.4.3 A Logging Utility for R
- futile.options-1.0.1 Futile Options Management
- future-1.14.0 Unified Parallel and Distributed Processing in R for Everyone
- gam-1.16.1 Generalized Additive Models
- gamlss-5.1-4 Generalised Additive Models for Location Scale and Shape
- gamlss.data-5.1-4 GAMLSS Data
- gamlss.dist-5.1-4 Distributions for Generalized Additive Models for Location Scale and Shape
- gamlss.tr-5.1-0 Generating and Fitting Truncated `gamlss.family’ Distributions
- gap-1.2.1 Genetic Analysis Package
- gapfill-0.9.6 Fill Missing Values in Satellite Data
- gbRd-0.4-11 Utilities for processing Rd objects and files
- gbm-2.1.5 Generalized Boosted Regression Models
- gclus-1.3.2 Clustering Graphics
- gdata-2.18.0 Various R Programming Tools for Data Manipulation
- gdistance-1.2-2 Distances and Routes on Geographical Grids
- gee-4.13-19 Generalized Estimation Equation Solver
- geepack-1.2-1 Generalized Estimating Equation Package
- geiger-2.0.6.2 Analysis of Evolutionary Diversification
- generics-0.0.2 Common S3 Generics not Provided by Base R Methods Related to Model Fitting
- geometry-0.4.4 Mesh Generation and Surface Tessellation
- getopt-1.20.3 C-Like ‘getopt’ Behavior
- ggbeeswarm-0.6.0 Categorical Scatter (Violin Point) Plots
- ggforce-0.3.1 Accelerating ‘ggplot2’
- ggm-2.3 Graphical Markov Models with Mixed Graphs
- ggplot2-3.2.1 Create Elegant Data Visualisations Using the Grammar of Graphics
- ggraph-2.0.0 An Implementation of Grammar of Graphics for Graphs and Networks
- ggrepel-0.8.1 Automatically Position Non-Overlapping Text Labels with ‘ggplot2’
- ggridges-0.5.1 Ridgeline Plots in ‘ggplot2’
- ggvis-0.4.4 Interactive Grammar of Graphics
- gh-1.0.1 ‘GitHub’ ‘API’
- git2r-0.26.1 Provides Access to Git Repositories
- glasso-1.10 Graphical Lasso: Estimation of Gaussian Graphical Models
- gllvm-1.1.7 Generalized Linear Latent Variable Models
- glmmML-1.1.0 Generalized Linear Models with Clustering
- glmmTMB-0.2.3 Generalized Linear Mixed Models using Template Model Builder
- glmnet-2.0-18 Lasso and Elastic-Net Regularized Generalized Linear Models
- globals-0.12.4 Identify Global Objects in R Expressions
- glue-1.3.1 Interpreted String Literals
- gmm-1.6-2 Generalized Method of Moments and Generalized Empirical Likelihood
- gmodels-2.18.1 Various R Programming Tools for Model Fitting
- goftest-1.1-1 Classical Goodness-of-Fit Tests for Univariate Distributions
- gomms-1.0 GLM-Based Ordination Method
- gower-0.2.1 Gower’s Distance
- gplots-3.0.1.1 Various R Programming Tools for Plotting Data
- grDevices built in
- graphics built in
- graphlayouts-0.5.0 Additional Layout Algorithms for Network Visualizations
- grid built in
- gridBase-0.4-7 Integration of base and grid graphics
- gridExtra-2.3 Miscellaneous Functions for “Grid” Graphics
- grpreg-3.2-1 Regularization Paths for Regression Models with Grouped Covariates
- gsalib-2.1 Utility Functions For GATK
- gsw-1.0-5 Gibbs Sea Water Functions
- gtable-0.3.0 Arrange ‘Grobs’ in Tables
- gtools-3.8.1 Various R Programming Tools
- h2o-3.26.0.2 R Interface for the ‘H2O’ Scalable Machine Learning Platform
- haven-2.1.1 Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files
- hdf5r-1.2.0 Interface to the ‘HDF5’ Binary Data Format
- hdm-0.3.1 High-Dimensional Metrics
- heatmap3-1.1.6 An Improved Heatmap Package
- hexbin-1.27.3 Hexagonal Binning Routines
- highr-0.8 Syntax Highlighting for R Source Code
- hms-0.5.1 Pretty Time of Day
- htmlTable-1.13.2 Advanced Tables for Markdown/HTML
- htmltools-0.3.6 Tools for HTML
- htmlwidgets-1.3 HTML Widgets for R
- httpcode-0.2.0 ‘HTTP’ Status Code Helper
- httpuv-1.5.2 HTTP and WebSocket Server Library
- httr-1.4.1 Tools for Working with URLs and HTTP
- huge-1.3.3 High-Dimensional Undirected Graph Estimation
- hwriter-1.3.2 HTML Writer - Outputs R objects in HTML format
- ica-1.0-2 Independent Component Analysis
- igraph-1.2.4.1 Network Analysis and Visualization
- imager-0.41.2 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-0.1.0 Software Tools to Quantify Structural Importance of Nodes in a Network
- infotheo-1.2.0 Information-Theoretic Measures
- ini-0.3.1 Read and Write ‘.ini’ Files
- inline-0.3.15 Functions to Inline C, C++, Fortran Function Calls from R
- interpretR-0.2.4 Binary Classifier and Regression Model Interpretation Functions
- inum-1.0-1 Interval and Enum-Type Representation of Vectors
- ipred-0.9-9 Improved Predictors
- irace-3.3 Iterated Racing for Automatic Algorithm Configuration
- irlba-2.3.3 Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices
- iterators-1.0.12 Provides Iterator Construct
- itertools-0.1-3 Iterator Tools
- jiebaR-0.10.99 Chinese Text Segmentation
- jiebaRD-0.1 Chinese Text Segmentation Data for jiebaR Package
- jomo-2.6-9 Multilevel Joint Modelling Multiple Imputation
- jpeg-0.1-8 Read and write JPEG images
- jsonlite-1.6 A Simple and Robust JSON Parser and Generator for R
- kernlab-0.9-27 Kernel-Based Machine Learning Lab
- klaR-0.6-14 Classification and Visualization
- knitr-1.25 A General-Purpose Package for Dynamic Report Generation in R
- kohonen-3.0.8 Supervised and Unsupervised Self-Organising Maps
- ks-1.11.5 Kernel Smoothing
- labdsv-2.0-1 Ordination and Multivariate Analysis for Ecology
- labeling-0.3 Axis Labeling
- labelled-2.2.1 Manipulating Labelled Data
- laeken-0.5.0 Estimation of Indicators on Social Exclusion and Poverty
- lambda.r-1.2.4 Modeling Data with Functional Programming
- lars-1.2 Least Angle Regression, Lasso and Forward Stagewise
- later-0.8.0 Utilities for Scheduling Functions to Execute Later with Event Loops
- lattice-0.20-38 Trellis Graphics for R
- latticeExtra-0.6-28 Extra Graphical Utilities Based on Lattice
- lava-1.6.6 Latent Variable Models
- lavaan-0.6-5 Latent Variable Analysis
- lazy-1.2-16 Lazy Learning for Local Regression
- lazyeval-0.2.2 Lazy (Non-Standard) Evaluation
- lda-1.4.2 Collapsed Gibbs Sampling Methods for Topic Models
- leaps-3.0 Regression Subset Selection
- lhs-1.0.1 Latin Hypercube Samples
- libcoin-1.0-5 Linear Test Statistics for Permutation Inference
- lifecycle-0.1.0 Manage the Life Cycle of your Package Functions
- limSolve-1.5.5.3 Solving Linear Inverse Models
- linprog-0.9-2 Linear Programming / Optimization
- liquidSVM-1.2.4 A Fast and Versatile SVM Package
- listenv-0.7.0 Environments Behaving (Almost) as Lists
- lme4-1.1-21 Linear Mixed-Effects Models using ‘Eigen’ and S4
- lmtest-0.9-37 Testing Linear Regression Models
- locfdr-1.1-8 Computes Local False Discovery Rates
- locfit-1.5-9.1 Local Regression, Likelihood and Density Estimation
- logcondens-2.1.5 Estimate a Log-Concave Probability Density from Iid Observations
- logistf-1.23 Firth’s Bias-Reduced Logistic Regression
- logspline-2.1.13 Routines for Logspline Density Estimation
- longitudinal-1.1.12 Analysis of Multiple Time Course Data
- longmemo-1.1-1 Statistics for Long-Memory Processes (Book Jan Beran), and Related Functionality
- lpSolve-5.6.13.3 Interface to ‘Lp_solve’ v. 5.5 to Solve Linear/Integer Programs
- lqa-1.0-3 Penalized Likelihood Inference for GLMs
- lsei-1.2-0 Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints
- lubridate-1.7.4 Make Dealing with Dates a Little Easier
- magic-1.5-9 Create and Investigate Magic Squares
- magick-2.2 Advanced Graphics and Image-Processing in R
- magrittr-1.5 A Forward-Pipe Operator for R
- manipulateWidget-0.10.0 Add Even More Interactivity to Interactive Charts
- maps-3.3.0 Draw Geographical Maps
- maptools-0.9-5 Tools for Handling Spatial Objects
- markdown-1.1 Render Markdown with the C Library ‘Sundown’
- matrixStats-0.55.0 Functions that Apply to Rows and Columns of Matrices (and to Vectors)
- matrixcalc-1.0-3 Collection of functions for matrix calculations
- maxLik-1.3-6 Maximum Likelihood Estimation and Related Tools
- mboost-2.9-1 Model-Based Boosting
- mclust-5.4.5 Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
- mcmc-0.9-6 Markov Chain Monte Carlo
- medflex-0.6-6 Flexible Mediation Analysis Using Natural Effect Models
- mediation-4.4.7 Causal Mediation Analysis
- memoise-1.1.0 Memoisation of Functions
- memuse-4.0-0 Memory Estimation Utilities
- metap-1.1 Meta-Analysis of Significance Values
- methods built in
- mgcv-1.8-29 Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
- mi-1.0 Missing Data Imputation and Model Checking
- mice-3.6.0 Multivariate Imputation by Chained Equations
- mime-0.7 Map Filenames to MIME Types
- miniUI-0.1.1.1 Shiny UI Widgets for Small Screens
- minpack.lm-1.2-1 R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds
- minqa-1.2.4 Derivative-free optimization algorithms by quadratic<U+000a>approximation
- misc3d-0.8-4 Miscellaneous 3D Plots
- miscTools-0.6-22 Miscellaneous Tools and Utilities
- missForest-1.4 Nonparametric Missing Value Imputation using Random Forest
- mitml-0.3-7 Tools for Multiple Imputation in Multilevel Modeling
- mixtools-1.1.0 Tools for Analyzing Finite Mixture Models
- mlbench-2.1-1 Machine Learning Benchmark Problems
- mlegp-3.1.7 Maximum Likelihood Estimates of Gaussian Processes
- mlogit-1.0-1 Multinomial Logit Models
- mlr-2.15.0 Machine Learning in R
- mltools-0.3.5 Machine Learning Tools
- mnormt-1.5-5 The Multivariate Normal and t Distributions, and Their Truncated Versions
- modelr-0.1.5 Modelling Functions that Work with the Pipe
- modeltools-0.2-22 Tools and Classes for Statistical Models
- moments-0.14 Moments, cumulants, skewness, kurtosis and related tests
- mpath-0.3-17 Regularized Linear Models
- msm-1.6.7 Multi-State Markov and Hidden Markov Models in Continuous Time
- multcomp-1.4-10 Simultaneous Inference in General Parametric Models
- multicool-0.1-10 Permutations of Multisets in Cool-Lex Order
- munsell-0.5.0 Utilities for Using Munsell Colours
- mvabund-4.0.1 Statistical Methods for Analysing Multivariate Abundance Data
- mvnfast-0.2.5 Fast Multivariate Normal and Student’s t Methods
- mvtnorm-1.0-11 Multivariate Normal and t Distributions
- natserv-0.3.0 ‘NatureServe’ Interface
- ncbit-2013.03.29 retrieve and build NBCI taxonomic data
- network-1.15 Classes for Relational Data
- networkDynamic-0.10.0 Dynamic Extensions for Network Objects
- neuRosim-0.2-12 Functions to Generate fMRI Data Including Activated Data, Noise Data and Resting State Data
- nleqslv-3.3.2 Solve Systems of Nonlinear Equations
- nlme-3.1-141 Linear and Nonlinear Mixed Effects Models
- nloptr-1.2.1 R Interface to NLopt
- nnet-7.3-12 Feed-Forward Neural Networks and Multinomial Log-Linear Models
- nnls-1.4 The Lawson-Hanson algorithm for non-negative least squares<U+000a>(NNLS)
- nor1mix-1.3-0 Normal aka Gaussian (1-d) Mixture Models (S3 Classes and Methods)
- np-0.60-9 Nonparametric Kernel Smoothing Methods for Mixed Data Types
- npsurv-0.4-0 Nonparametric Survival Analysis
- numDeriv-2016.8-1.1 Accurate Numerical Derivatives
- oce-1.1-1 Analysis of Oceanographic Data
- oddsratio-2.0.0 Odds Ratio Calculation for GAM(M)s & GLM(M)s
- openssl-1.4.1 Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
- openxlsx-4.1.0.1 Read, Write and Edit xlsx Files
- optmatch-0.9-11 Functions for Optimal Matching
- optparse-1.6.4 Command Line Option Parser
- ordinal-2019.4-25 Regression Models for Ordinal Data
- pROC-1.15.3 Display and Analyze ROC Curves
- pan-1.6 Multiple Imputation for Multivariate Panel or Clustered Data
- parallelMap-1.4 Unified Interface to Parallelization Back-Ends
- parsedate-1.2.0 Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats
- party-1.3-3 A Laboratory for Recursive Partytioning
- partykit-1.2-5 A Toolkit for Recursive Partytioning
- pastecs-1.3.21 Package for Analysis of Space-Time Ecological Series
- pbapply-1.4-2 Adding Progress Bar to ‘*apply’ Functions
- pbivnorm-0.6.0 Vectorized Bivariate Normal CDF
- pbkrtest-0.4-7 Parametric Bootstrap and Kenward Roger Based Methods for Mixed Model Comparison
- pcaPP-1.9-73 Robust PCA by Projection Pursuit
- penalized-0.9-51 L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation in GLMs and in the Cox Model
- peperr-1.1-7.1 Parallelised Estimation of Prediction Error
- permute-0.9-5 Functions for Generating Restricted Permutations of Data
- phangorn-2.5.5 Phylogenetic Reconstruction and Analysis
- pheatmap-1.0.12 Pretty Heatmaps
- phylobase-0.8.6 Base Package for Phylogenetic Structures and Comparative Data
- pillar-1.4.2 Coloured Formatting for Columns
- pim-2.0.1 Fit Probabilistic Index Models
- pinfsc50-1.1.0 Sequence (‘FASTA’), Annotation (‘GFF’) and Variants (‘VCF’) for 17 Samples of ‘P. Infestans” and 1 ‘P. Mirabilis’
- pixmap-0.4-11 Bitmap Images (``Pixel Maps’’)
- pkgbuild-1.0.5 Find Tools Needed to Build R Packages
- pkgconfig-2.0.3 Private Configuration for ‘R’ Packages
- pkgload-1.0.2 Simulate Package Installation and Attach
- pkgmaker-0.27 Development Utilities for R Packages
- plogr-0.2.0 The ‘plog’ C++ Logging Library
- plot3D-1.1.1 Plotting Multi-Dimensional Data
- plot3Drgl-1.0.1 Plotting Multi-Dimensional Data - Using ‘rgl’
- plotly-4.9.0 Create Interactive Web Graphics via ‘plotly.js’
- plotrix-3.7-6 Various Plotting Functions
- pls-2.7-1 Partial Least Squares and Principal Component Regression
- plyr-1.8.4 Tools for Splitting, Applying and Combining Data
- png-0.1-7 Read and write PNG images
- polspline-1.1.15 Polynomial Spline Routines
- polyclip-1.10-0 Polygon Clipping
- polynom-1.4-0 A Collection of Functions to Implement a Class for Univariate Polynomial Manipulations
- prabclus-2.3-1 Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data
- pracma-2.2.5 Practical Numerical Math Functions
- praise-1.0.0 Praise Users
- prettyunits-1.0.2 Pretty, Human Readable Formatting of Quantities
- processx-3.4.1 Execute and Control System Processes
- prodlim-2018.04.18 Product-Limit Estimation for Censored Event History Analysis
- profileModel-0.6.0 Profiling Inference Functions for Various Model Classes
- progress-1.2.2 Terminal Progress Bars
- promises-1.0.1 Abstractions for Promise-Based Asynchronous Programming
- proto-1.0.0 Prototype Object-Based Programming
- proxy-0.4-23 Distance and Similarity Measures
- pryr-0.1.4 Tools for Computing on the Language
- ps-1.3.0 List, Query, Manipulate System Processes
- pscl-1.5.2 Political Science Computational Laboratory
- pspline-1.0-18 Penalized Smoothing Splines
- psych-1.8.12 Procedures for Psychological, Psychometric, and Personality Research
- pulsar-0.3.6 Parallel Utilities for Lambda Selection along a Regularization Path
- purrr-0.3.2 Functional Programming Tools
- pvclust-2.0-0 Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling
- qgraph-1.6.3 Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
- qrnn-2.0.5 Quantile Regression Neural Network
- quadprog-1.5-7 Functions to Solve Quadratic Programming Problems
- quantmod-0.4-15 Quantitative Financial Modelling Framework
- quantreg-5.51 Quantile Regression
- questionr-0.7.0 Functions to Make Surveys Processing Easier
- rJava-0.9-11 Low-Level R to Java Interface
- randomForest-4.6-14 Breiman and Cutler’s Random Forests for Classification and Regression
- randomForestSRC-2.9.1 Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
- ranger-0.11.2 A Fast Implementation of Random Forests
- raster-3.0-7 Geographic Data Analysis and Modeling
- rcmdcheck-1.3.3 Run ‘R CMD check’ from ‘R’ and Capture Results
- rda-1.0.2-2.1 Shrunken Centroids Regularized Discriminant Analysis
- readbitmap-0.1.5 Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG,TIFF)
- readr-1.3.1 Read Rectangular Text Data
- readxl-1.3.1 Read Excel Files
- recipes-0.1.7 Preprocessing Tools to Create Design Matrices
- registry-0.5-1 Infrastructure for R Package Registries
- rematch-1.0.1 Match Regular Expressions with a Nicer ‘API’
- rematch2-2.1.0 Tidy Output from Regular Expression Matching
- remotes-2.1.0 R Package Installation from Remote Repositories, Including ‘GitHub’
- rentrez-1.2.2 ‘Entrez’ in R
- reprex-0.3.0 Prepare Reproducible Example Code via the Clipboard
- resample-0.4 Resampling Functions
- reshape-0.8.8 Flexibly Reshape Data
- reshape2-1.4.3 Flexibly Reshape Data: A Reboot of the Reshape Package
- reticulate-1.13 Interface to ‘Python’
- rex-1.1.2 Friendly Regular Expressions
- rgexf-0.15.3 Build, Import and Export GEXF Graph Files
- rgl-0.100.30 3D Visualization Using OpenGL
- rio-0.5.16 A Swiss-Army Knife for Data I/O
- ritis-0.7.6 Integrated Taxonomic Information System Client
- rjson-0.2.20 JSON for R
- rlang-0.4.0 Functions for Base Types and Core R and ‘Tidyverse’ Features
- rlecuyer-0.3-4 R Interface to RNG with Multiple Streams
- rmarkdown-1.15 Dynamic Documents for R
- rmeta-3.0 Meta-Analysis
- rms-5.1-3.1 Regression Modeling Strategies
- rncl-0.8.3 An Interface to the Nexus Class Library
- rngtools-1.4 Utility Functions for Working with Random Number Generators
- robustbase-0.93-5 Basic Robust Statistics
- rootSolve-1.7 Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations
- rotl-3.0.10 Interface to the ‘Open Tree of Life’ API
- roxygen2-6.1.1 In-Line Documentation for R
- rpart-4.1-15 Recursive Partitioning and Regression Trees
- rprojroot-1.3-2 Finding Files in Project Subdirectories
- rrcov-1.4-7 Scalable Robust Estimators with High Breakdown Point
- rredlist-0.5.0 ‘IUCN’ Red List Client
- rstudioapi-0.10 Safely Access the RStudio API
- rversions-2.0.0 Query ‘R’ Versions, Including ‘r-release’ and ‘r-oldrel’
- rvest-0.3.4 Easily Harvest (Scrape) Web Pages
- sampling-2.8 Survey Sampling
- sandwich-2.5-1 Robust Covariance Matrix Estimators
- scales-1.0.0 Scale Functions for Visualization
- scatterplot3d-0.3-41 3D Scatter Plot
- seewave-2.1.4 Sound Analysis and Synthesis
- segmented-1.0-0 Regression Models with Break-Points / Change-Points Estimation
- selectr-0.4-1 Translate CSS Selectors to XPath Expressions
- sem-3.1-9 Structural Equation Models
- sendmailR-1.2-1 send email using R
- seqinr-3.6-1 Biological Sequences Retrieval and Analysis
- sessioninfo-1.1.1 R Session Information
- sfsmisc-1.1-4 Utilities from ‘Seminar fuer Statistik’ ETH Zurich
- shape-1.4.4 Functions for Plotting Graphical Shapes, Colors
- shapefiles-0.7 Read and Write ESRI Shapefiles
- shiny-1.3.2 Web Application Framework for R
- shinydashboard-0.7.1 Create Dashboards with ‘Shiny’
- shinythemes-1.1.2 Themes for Shiny
- signal-0.7-6 Signal Processing
- slam-0.1-45 Sparse Lightweight Arrays and Matrices
- sm-2.2-5.6 Smoothing Methods for Nonparametric Regression and Density Estimation
- smoother-1.1 Functions Relating to the Smoothing of Numerical Data
- sn-1.5-4 The Skew-Normal and Related Distributions Such as the Skew-t
- sna-2.4 Tools for Social Network Analysis
- snow-0.4-3 Simple Network of Workstations
- snowfall-1.84-6.1 Easier cluster computing (based on snow).
- solrium-1.0.2 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-1.3-1 Classes and Methods for Spatial Data
- spData-0.3.2 Datasets for Spatial Analysis
- spaMM-3.0.0 Mixed-Effect Models, Particularly Spatial Models
- spam-2.3-0 SPArse Matrix
- spatial-7.3-11 Functions for Kriging and Point Pattern Analysis
- spatstat-1.61-0 Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
- spatstat.data-1.4-0 Datasets for ‘spatstat’
- spatstat.utils-1.13-0 Utility Functions for ‘spatstat’
- splines built in
- spls-2.2-3 Sparse Partial Least Squares (SPLS) Regression and Classification
- stabledist-0.7-1 Stable Distribution Functions
- stabs-0.6-3 Stability Selection with Error Control
- startupmsg-0.9.6 Utilities for Start-Up Messages
- statmod-1.4.32 Statistical Modeling
- statnet-2019.6 Software Tools for the Statistical Analysis of Network Data
- statnet.common-4.3.0 Common R Scripts and Utilities Used by the Statnet Project Software
- stats built in
- stats4 built in
- stringi-1.4.3 Character String Processing Facilities
- stringr-1.4.0 Simple, Consistent Wrappers for Common String Operations
- strucchange-1.5-1 Testing, Monitoring, and Dating Structural Changes
- subplex-1.5-4 Unconstrained Optimization using the Subplex Algorithm
- survival-2.44-1.1 Survival Analysis
- survivalROC-1.0.3 Time-dependent ROC curve estimation from censored survival data
- svd-0.5 Interfaces to Various State-of-Art SVD and Eigensolvers
- sys-3.3 Powerful and Reliable Tools for Running System Commands in R
- taxize-0.9.8 Taxonomic Information from Around the Web
- tclust-1.4-1 Robust Trimmed Clustering
- tensor-1.5 Tensor product of arrays
- tensorA-0.36.1 Advanced Tensor Arithmetic with Named Indices
- tergm-3.6.1 Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
- testthat-2.2.1 Unit Testing for R
- threejs-0.3.1 Interactive 3D Scatter Plots, Networks and Globes
- tibble-2.1.3 Simple Data Frames
- tidygraph-1.1.2 A Tidy API for Graph Manipulation
- tidyr-1.0.0 Tidy Messy Data
- tidyselect-0.2.5 Select from a Set of Strings
- tidyverse-1.2.1 Easily Install and Load the ‘Tidyverse’
- tiff-0.1-5 Read and write TIFF images
- timeDate-3043.102 Rmetrics - Chronological and Calendar Objects
- timereg-1.9.4 Flexible Regression Models for Survival Data
- tinytex-0.16 Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
- tkrplot-0.0-24 TK Rplot
- tm-0.7-6 Text Mining Package
- tmle-1.3.0-2 Targeted Maximum Likelihood Estimation
- tmvtnorm-1.4-10 Truncated Multivariate Normal and Student t Distribution
- tools built in
- tree-1.0-40 Classification and Regression Trees
- triebeard-0.3.0 ‘Radix’ Trees in ‘Rcpp’
- trimcluster-0.1-2.1 Cluster Analysis with Trimming
- tripack-1.3-8 Triangulation of Irregularly Spaced Data
- trust-0.1-7 Trust Region Optimization
- tseries-0.10-47 Time Series Analysis and Computational Finance
- tseriesChaos-0.1-13.1 Analysis of Nonlinear Time Series
- tsna-0.3.0 Tools for Temporal Social Network Analysis
- tsne-0.1-3 T-Distributed Stochastic Neighbor Embedding for R (t-SNE)
- tuneR-1.3.3 Analysis of Music and Speech
- tweedie-2.3.2 Evaluation of Tweedie Exponential Family Models
- tweenr-1.0.1 Interpolate Data for Smooth Animations
- ucminf-1.1-4 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-0.6-4 Measurement Units for R Vectors
- urca-1.3-0 Unit Root and Cointegration Tests for Time Series Data
- urltools-1.7.3 Vectorised Tools for URL Handling and Parsing
- uroot-2.1-0 Unit Root Tests for Seasonal Time Series
- usethis-1.5.1 Automate Package and Project Setup
- utf8-1.1.4 Unicode Text Processing
- utils built in
- uuid-0.1-2 Tools for Generating and Handling of UUIDs
- vcd-1.4-4 Visualizing Categorical Data
- vcfR-1.8.0 Manipulate and Visualize VCF Data
- vctrs-0.2.0 Vector Helpers
- vegan-2.5-6 Community Ecology Package
- vioplot-0.3.2 Violin Plot
- vipor-0.4.5 Plot Categorical Data Using Quasirandom Noise and Density Estimates
- viridis-0.5.1 Default Color Maps from ‘matplotlib’
- viridisLite-0.3.0 Default Color Maps from ‘matplotlib’ (Lite Version)
- visNetwork-2.0.8 Network Visualization using ‘vis.js’ Library
- waveslim-1.7.5.1 Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing
- webshot-0.5.1 Take Screenshots of Web Pages
- whisker-0.4 for R, Logicless Templating
- wikitaxa-0.3.0 Taxonomic Information from ‘Wikipedia’
- withr-2.1.2 Run Code ‘With’ Temporarily Modified Global State
- worrms-0.4.0 World Register of Marine Species (WoRMS) Client
- xfun-0.9 Miscellaneous Functions by ‘Yihui Xie’
- xlsx-0.6.1 Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files
- xlsxjars-0.6.1 Package required POI jars for the xlsx package
- xml2-1.2.2 Parse XML
- xopen-1.0.0 Open System Files, ‘URLs’, Anything
- xtable-1.8-4 Export Tables to LaTeX or HTML
- xts-0.11-2 eXtensible Time Series
- yaml-2.2.0 Methods to Convert R Data to YAML and Back
- zeallot-0.1.0 Multiple, Unpacking, and Destructuring Assignment
- zip-2.0.4 Cross-Platform ‘zip’ Compression
- zoo-1.8-6 S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations)
Updated: September 17, 2020
Edit this Page via GitHub Comment by Filing an Issue Have Questions? Ask them here.