R (programming language): Difference between revisions

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The [[R package#Comprehensive R Archive Network (CRAN)|Comprehensive R Archive Network]] (CRAN) was founded in 1997 by Kurt Hornik and [[Friedrich Leisch]] to host R's [[source code]], executable files, documentation, and user-created packages.<ref name=":10" /> CRAN's name and scope mimic the [[Comprehensive TeX Archive Network]] (CTAN) and the [[Comprehensive Perl Archive Network]] (CPAN).<ref name=":10">{{Cite journal |last=Hornik |first=Kurt |date=2012 |title=The Comprehensive R Archive Network |url=https://onlinelibrary.wiley.com/doi/10.1002/wics.1212 |journal=WIREs Computational Statistics |language=en |volume=4 |issue=4 |pages=394–398 |doi=10.1002/wics.1212 |issn=1939-5108 |s2cid=62231320|url-access=subscription }}</ref> CRAN originally had only three [[mirror site]]s and twelve contributed packages.<ref>{{cite Q|Q101068595}}<!-- Announce: CRAN -->.</ref> {{As of|20242025|1006|1630}}, it has 9990 mirrors<ref name=":3">{{Cite web |title=The Status of CRAN Mirrors |url=https://cran.r-project.org/mirmon_report.html |access-date=2024-10-16 |website=cran.r-project.org}}</ref> and 2122,513390 contributed packages.<ref name=":9">{{Cite web |title=CRAN - Contributed Packages |url=https://cran.r-project.org/web/packages/index.html |access-date=2024-10-16 |website=cran.r-project.org}}</ref> Packages are also available in [[Repository (version control)|repositories]] such as R-Forge, Omegahat, and [[GitHub]].<ref>{{Cite web |title=R-Forge: Welcome |url=https://r-forge.r-project.org/ |access-date=2024-09-05 |website=r-forge.r-project.org}}</ref><ref>{{Cite web |title=The Omega Project for Statistical Computing |url=https://www.omegahat.net/ |access-date=2024-09-05 |website=www.omegahat.net}}</ref><ref>{{Cite web |title=Build software better, together |url=https://github.com/trending/r |access-date=2024-09-05 |website=GitHub |language=en}}</ref>

To provide guidance on the CRAN web site, its [https://cran.r-project.org/web/views/ Task Views] area lists packages that are relevant for specific topics; sample topics include [[causal inference]], [[finance]], [[genetics]], [[high-performance computing]], [[machine learning]], [[medical imaging]], [[meta-analysis]], [[social science]]s, and [[spatial statistics]].