FEDORA WORKSTATION 33 INSTALL
To enable this Copr repository in your system: $ sudo dnf install 'dnf-command(copr)' To ensure compatibility with the official repositories, these set of packages are named “R-CRAN-pkgname” (instead of “R-pkgname”), and are installed into /usr/local/lib/R/library.
These repositories are automatically synchronized with CRAN every day at 00:00 UTC through a GitHub Action that removes archived packages and builds the most recent updates. The cran2copr project maintains binary RPM repositories for the current and previous stable Fedora version for most of CRAN (more than 18k packages as of May 2022) in an automated way using Fedora Copr. Note that the classification is not mutually exclusive (e.g. R-RCurl appears several times) and that there are RPMs that are not available from any standard R repository. # "RM2" "Rcompression" "Rsolid" "fts" "nws" # "mime" "png" "servr" "testit" "tikzDevice"
# "formatR" "highr" "jpeg" "knitr" "markdown" # "Cairo" "base64enc" "brew" "evaluate" "fastmatch" # "timeDate" "timeSeries" "vcd" "waveslim" # "stringi" "systemfit" "TH.data" "tikzDevice" # "rgeos" "Rmpfr" "sandwich" "scatterplot3d" # "pbapply" "randomForest" "Rcpp" "rgdal" # "labeling" "lmodel2" "lokern" "matrixStats" # "highlight" "htmltools" "iterators" "itertools" # "gamlss.dist" "gdata" "gplots" "gtools" # "doParallel" "expm" "foreach" "fortunes" # "S4Vectors" "SummarizedExperiment" "tkWidgets" # "MatrixGenerics" "preprocessCore" "qvalue" # "DynDoc" "GenomeInfoDb" "GenomicAlignments" # "BSgenome" "BufferedMatrix" "DelayedArray" # "BiocFileCache" "BiocGenerics" "BiocIO" # "markdown" "matrixStats" "measurements" # "fontBitstreamVera" "fontLiberation" "forcats" The listing below shows all RPMs available for R packages on Fedora Linux 36 (Thirty Six), classified by the R repository that would normally be used to install the package from within R (see the help page ?chooseRepositories). Hence, running $ dnf repoquery -repo=fedora-source R-* A number of add-on packages from CRAN, Bioconductor and other sources are readily available via the official repositories. Recommended R packages are included as part of the R-core component.
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