Top Qs
Timeline
Chat
Perspective

List of R software and tools

R software and development tools From Wikipedia, the free encyclopedia

Remove ads

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

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
Remove ads

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]
Remove ads

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

Wikibooks has a book on the topic of: R Programming

External links

References

Loading related searches...

Wikiwand - on

Seamless Wikipedia browsing. On steroids.

Remove ads
Remove ads