List of R software and tools

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

See also: Comparison of R IDEs

• Emacs Speaks Statistics (ESS) — Emacs interface for R and other statistical software
• Jupyter — supports R through IRkernel ^[1]
• RKWard — KDE/Qt-based IDE and GUI for R ^[2]
• RStudio — popular cross-platform IDE for R
• StatET — Eclipse-based IDE ^[3]
• Visual Studio Code — supports R via extensions (R Tools for Visual Studio)

Graphical user interfaces

• Deducer — GUI front-end and data analysis package ^[4]
• jamovi — GUI statistical environment built on R for data analysis and performing statistical tests ^[5]
• Java GUI for R — cross-platform R console, script editor, and spreadsheet/data view.
• Rattle GUI — data mining GUI for R ^[6]
• R Commander (Rcmdr) — basic GUI for statistics in R, often used for teaching and introductory work.

Implementations of R

See also: R implementations

• CXXR — experimental R engine with modernized C++ codebase ^[7]
• FastR — R language implementation on the GraalVM ^[8]
• GNU R — main implementation of R, maintained by the R Core Team, and distributed as part of the GNU Project.
• pqR — “pretty quick R” ^[9]
• Renjin — JVM-based interpreter for R

R packages

Main article: 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 ^[10]
• Knitr — integration of R code into LaTeX, LyX, HTML, Markdown, AsciiDoc, and reStructuredText documents.
• Packrat — dependency management system ^[11]
• renv — project-specific package management system ^[12]
• R CMD build / R CMD check — R package build and validation tools ^[13]
• Tidyverse — Ggplot2, dplyr, and other packages.

Mathematical and numerical libraries

• lme4 — linear mixed-effects models ^[14]
• Matrix — sparse and dense matrix computations ^[15]
• mgcv — generalized additive models ^[16]
• nlme — nonlinear mixed-effects models ^[17]
• numDeriv — numerical derivatives ^[18]
• optim — built-in optimization functions ^[19]
• optimx – provides a replacement and extension of the optim ^[20]
• Rmpfr — multiple-precision floating-point arithmetic ^[21]

Scientific and statistical libraries

• dplyr — data manipulation toolkit
• edgeR — differential expression analysis of RNA-seq data ^[22]
• forecast — time series forecasting ^[23]
• ggplot2 — data visualization based on the grammar of graphics ^[24]
• phyloseq — analysis of microbiome census data ^[25]
• shiny — interactive web applications
• survival — survival analysis ^[26]
• tidyr — tidy data reshaping ^[27]

Debugging and performance tools

• bench – accurately benchmark and analyze execution times ^[28]
• lineprof — line-by-line profiling tool ^[29]
• microbenchmark — benchmarking ^[30]
• profvis — interactive R profiler ^[31]
• Rcpp — integration of R and C++ for performance ^[32]
• Rprof — built-in R profiler ^[33]

Parallel and high-performance computing

• BiocParallel — parallel evaluation framework for R, used across Bioconductor packages. ^[34]
• doParallel – provides a parallel backend for the foreach package, enabling easy parallel execution of R code. ^[35]
• foreach — looping construct for parallel execution ^[36]
• future — unified parallel and distributed computing ^[37]
• parallel — built-in R package for parallel processing ^[38]
• Rmpi — R interface to the Message Passing Interface ^[39]
• snow — simple network of workstations ^[40]

Machine learning and AI libraries

• caret — training and tuning for machine learning models ^[41]
• keras — R interface to Keras deep learning ^[42]
• mlbench — collection of artificial and real-world benchmark datasets for evaluating machine learning algorithms ^[43]
• mlr — machine learning ^[44]
• mlr3 — modern successor to mlr ^[45]
• randomForest — ensemble learning using random forests ^[46]
• tidymodels — collection of R packages for machine learning and modeling, designed with tidyverse principles. ^[47]
• torch — R interface to PyTorch ^[48]
• xgboost — gradient boosting framework with R bindings ^[49]

Documentation and code analysis tools

• covr — test coverage ^[50]
• lintr — static code analysis ^[51]
• roxygen2 — documentation generation for R packages ^{[52] [53]}
• styler — code formatter for R scripts and packages ^[54]

Testing frameworks

• checkmate — fast argument checks and assertions for R functions ^[55]
• RUnit — implementing a standard Unit Testing framework ^[56]
• testthat — unit testing framework ^{[57] [58]}
• tinytest — lightweight unit testing framework ^[59]

See also

• Data science
• gretl — open-source software for econometrics that can integrate with R
• List of numerical libraries
• Lists of programming software development tools by language
• Statistical software
• Wikibooks R Programming

External links

• awesome-R – GitHub list of R software
• The Comprehensive R Archive Network (CRAN)
• Bioconductor project
• RStudio / Posit IDE
• Jupyter Project

References

1. https://github.com/IRkernel/IRkernel
2. https://rkward.kde.org/
3. https://projects.eclipse.org/projects/science.statet
4. https://cran.r-project.org/web/packages/Deducer/index.html
5. https://www.jamovi.org/
6. https://rattle.togaware.com/
7. https://www.cs.kent.ac.uk/projects/cxxr/
8. https://github.com/oracle/fastr
9. https://github.com/radfordneal/pqR
10. https://devtools.r-lib.org
11. https://rstudio.github.io/packrat/
12. https://rstudio.github.io/renv/
13. https://devtools.r-lib.org/reference/check.html
14. https://cran.r-project.org/web/packages/lme4/index.html
15. https://cran.r-project.org/web/packages/Matrix/index.html
16. https://cran.r-project.org/web/packages/mgcv/index.html
17. https://cran.r-project.org/web/packages/nlme/index.html
18. https://cran.r-project.org/web/packages/numDeriv/index.html
19. https://stat.ethz.ch/R-manual/R-devel/library/stats/html/optim.html
20. https://cran.r-project.org/web/packages/optimx/index.html
21. https://cran.r-project.org/web/packages/Rmpfr/index.html
22. https://bioconductor.org/packages/release/bioc/html/edgeR.html
23. https://cran.r-project.org/web/packages/forecast/index.html
24. https://www.bioconductor.org/packages/devel/bioc/vignettes/edgeR/inst/doc/edgeRUsersGuide.pdf
25. https://www.bioconductor.org/packages/release/bioc/html/phyloseq.html
26. https://cran.r-project.org/web/packages/survival/index.html
27. https://cran.r-project.org/web/packages/tidyr/index.html
28. https://cran.r-project.org/web/packages/bench/index.html
29. https://www.hansenlab.org/rstats/2014/01/30/lineprof
30. https://cran.r-project.org/web/packages/microbenchmark/index.html
31. https://cran.r-project.org/web/packages/profvis/profvis.pdf
32. https://cran.r-project.org/web/packages/Rcpp/index.html
33. https://www.rdocumentation.org/packages/utils/versions/3.6.2/topics/Rprof
34. https://www.bioconductor.org/packages/release/bioc/html/BiocParallel.html
35. https://cran.r-project.org/web/packages/doParallel/index.html
36. https://cran.r-project.org/web/packages/foreach/vignettes/foreach.html
37. https://cran.r-project.org/web/packages/future/index.html
38. https://cran.r-project.org/doc/manuals/r-devel/packages/parallel/refman/parallel.html
39. https://cran.r-project.org/web/packages/Rmpi/index.html
40. https://cran.r-project.org/web/packages/snow/index.html
41. https://cran.r-project.org/web/packages/caret/index.html
42. https://cran.r-project.org/web/packages/keras/index.html
43. https://cran.r-project.org/web/packages/mlbench/index.html
44. https://cran.r-project.org/web/packages/mlr/index.html
45. https://mlr3.mlr-org.com/
46. https://cran.r-project.org/web/packages/randomForest/randomForest.pdf
47. https://www.tidymodels.org/
48. https://cran.r-project.org/web/packages/torch/index.html
49. https://cran.r-project.org/web/packages/xgboost/index.html
50. https://cran.r-project.org/web/packages/covr/index.html
51. https://lintr.r-lib.org/
52. https://roxygen2.r-lib.org/
53. https://cran.r-project.org/web/packages/roxygen2/index.html
54. https://cran.r-project.org/web/packages/styler/index.html
55. https://cran.r-project.org/web/packages/checkmate/index.html
56. https://cran.r-project.org/web/packages/RUnit/index.html
57. https://testthat.r-lib.org/
58. https://cran.r-project.org/web/packages/testthat/index.html
59. https://cran.r-project.org/web/packages/tinytest/index.html