This is a list of software and programming tools for the R programming language, including IDEs, package managers, libraries, debugging tools, numerical and scientific computing tools, and related projects.

Integrated development environments (IDEs) and editors

Graphical user interfaces

  • Deducer — GUI front-end and data analysis package
  • jamovi — GUI statistical environment built on R for data analysis and performing statistical tests
  • Java GUI for R — cross-platform R console, script editor, and spreadsheet/data view.
  • Rattle GUI — data mining GUI for R
  • R Commander (Rcmdr) — basic GUI for statistics in R, often used for teaching and introductory work.

Implementations of R

  • CXXR — experimental R engine with modernized C++ codebase
  • FastR — R language implementation on the GraalVM
  • GNU R — main implementation of R, maintained by the R Core Team, and distributed as part of the GNU Project.
  • pqR — “pretty quick R”
  • Renjin — JVM-based interpreter for R

R packages

  • Bioconductor — repository for bioinformatics and computational biology R packages
  • CRAN — Comprehensive R Archive Network, primary repository for R packages.
  • devtools — simplifies R package development
  • Knitr — integration of R code into LaTeX, LyX, HTML, Markdown, AsciiDoc, and reStructuredText documents.
  • learnr — package for creating interactive tutorials and exercises in R using R Markdown and Shiny.
  • Packrat — dependency management system
  • renv — project-specific package management system
  • R CMD build / R CMD check — R package build and validation tools
  • Tidyverse — Ggplot2, dplyr, and other packages.

Mathematical and numerical libraries

  • lme4 — linear mixed-effects models
  • Matrix — sparse and dense matrix computations
  • mgcv — generalized additive models
  • nlme — nonlinear mixed-effects models
  • numDeriv — numerical derivatives
  • optim — built-in optimization functions
  • optimx – provides a replacement and extension of the optim
  • Rmpfr — multiple-precision floating-point arithmetic

Scientific and statistical libraries

  • dplyr — data manipulation toolkit
  • edgeR — differential expression analysis of RNA-seq data
  • forecast — time series forecasting
  • ggplot2 — data visualization based on the grammar of graphics
  • phyloseq — analysis of microbiome census data
  • shiny — interactive web applications
  • survival — survival analysis
  • tidyr — tidy data reshaping

Debugging and performance tools

  • bench – accurately benchmark and analyze execution times
  • lineprof — line-by-line profiling tool
  • microbenchmark — benchmarking
  • profvis — interactive R profiler
  • Rcpp — integration of R and C++ for performance
  • Rprof — built-in R profiler

Parallel and high-performance computing

  • BiocParallel — parallel evaluation framework for R, used across Bioconductor packages.
  • doParallel – provides a parallel backend for the foreach package, enabling easy parallel execution of R code.
  • foreach — looping construct for parallel execution
  • future — unified parallel and distributed computing
  • parallel — built-in R package for parallel processing
  • Rmpi — R interface to the Message Passing Interface
  • snow — simple network of workstations

Machine learning and AI libraries

  • caret — training and tuning for machine learning models
  • keras — R interface to Keras deep learning
  • mlbench — collection of artificial and real-world benchmark datasets for evaluating machine learning algorithms
  • mlr — machine learning
  • mlr3 — modern successor to mlr
  • randomForest — ensemble learning using random forests
  • tidymodels — collection of R packages for machine learning and modeling, designed with tidyverse principles.
  • torch — R interface to PyTorch
  • xgboost — gradient boosting framework with R bindings

Documentation and code analysis tools

  • covr — test coverage
  • lintr — static code analysis
  • roxygen2 — documentation generation for R packages
  • styler — code formatter for R scripts and packages

Testing frameworks

  • checkmate — fast argument checks and assertions for R functions
  • RUnit — implementing a standard Unit Testing framework
  • testthat — unit testing framework
  • tinytest — lightweight unit testing framework

See also

External links

  • – GitHub list of R software