How to Install and Uninstall r-cran-caret Package on Linux Mint 21 (Vanessa)

Last updated: May 08,2024

1. Install "r-cran-caret" package

This guide covers the steps necessary to install r-cran-caret on Linux Mint 21 (Vanessa)

$ sudo apt update $ sudo apt install r-cran-caret

2. Uninstall "r-cran-caret" package

In this section, we are going to explain the necessary steps to uninstall r-cran-caret on Linux Mint 21 (Vanessa):

$ sudo apt remove r-cran-caret $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-caret package on Linux Mint 21 (Vanessa)

Package: r-cran-caret
Architecture: amd64
Version: 6.0-90+dfsg-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3667
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-ggplot2, r-cran-lattice (>= 0.20), r-cran-e1071, r-cran-foreach, r-cran-modelmetrics (>= 1.2.2.2), r-cran-nlme, r-cran-plyr, r-cran-proc, r-cran-recipes (>= 0.1.10), r-cran-reshape2, r-cran-withr (>= 2.0.0), libc6 (>= 2.4)
Recommends: r-cran-testthat (>= 0.9.1), r-cran-earth (>= 2.2-3), r-cran-mda, r-cran-mlmetrics, r-cran-fastica, r-cran-kernlab
Suggests: r-cran-bradleyterry2, r-cran-covr, r-cran-dplyr, r-cran-ellipse, r-cran-gam (>= 1.15), r-cran-ipred, r-cran-knitr, r-cran-mass, r-cran-matrix, r-cran-mgcv, r-cran-mlbench, r-cran-nnet, r-cran-party (>= 0.9-99992), r-cran-pls, r-cran-proxy, r-cran-randomforest, r-cran-rann, r-cran-rmarkdown, r-cran-rpart
Filename: pool/universe/r/r-cran-caret/r-cran-caret_6.0-90+dfsg-1_amd64.deb
Size: 3437898
MD5sum: 9cbb0338f21cc52c8a32369e0f41c245
SHA1: 4190ad0443e22888c7258ff5e58a0b2e48b8a4d8
SHA256: fb1ecc3e05828e41218b1ba16656dd394226288baa59f4943f9138c84aaed7eb
SHA512: 5149b1e2071bd54738da52e6caf7a555d021a89bfe29b7afbdf661cb1c58bb45f1b6b353b3c426e1adac90adb017017d609dfb7bdf896c092dcaee4bee73eb7b
Homepage: https://cran.r-project.org/package=caret
Description: GNU R package for classification and regression training
Description-md5: 568fff6316b184e50b859b0f39211d0d