How to Install and Uninstall r-cran-caret Package on Debian 11 (Bullseye)

Last updated: November 22,2024

1. Install "r-cran-caret" package

Here is a brief guide to show you how to install r-cran-caret on Debian 11 (Bullseye)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-caret
            
                    
    
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2. Uninstall "r-cran-caret" package

Learn how to uninstall r-cran-caret on Debian 11 (Bullseye):


    
        
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                sudo apt remove
            
                        
                r-cran-caret
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-caret package on Debian 11 (Bullseye)

Package: r-cran-caret
Source: r-cran-caret (6.0-86+dfsg-1)
Version: 6.0-86+dfsg-1+b1
Installed-Size: 6044
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.0.0-3), r-api-4.0, r-cran-lattice (>= 0.20), r-cran-ggplot2, r-cran-foreach, r-cran-plyr, r-cran-modelmetrics (>= 1.2.2.2), r-cran-nlme, r-cran-reshape2, r-cran-recipes (>= 0.1.10), r-cran-withr (>= 2.0.0), r-cran-proc, libc6 (>= 2.4)
Recommends: r-cran-testthat (>= 0.9.1), r-cran-e1071, r-cran-earth (>= 2.2-3), r-cran-mda, r-cran-mlmetrics, r-cran-fastica, r-cran-kernlab
Suggests: r-cran-bradleyterry2, r-cran-gam (>= 1.15), r-cran-ipred, r-cran-knitr, r-cran-mass, r-cran-ellipse, r-cran-mgcv, r-cran-mlbench, r-cran-nnet, r-cran-party (>= 0.9-99992), r-cran-pls, r-cran-randomforest, r-cran-rann, r-cran-rpart, r-cran-dplyr, r-cran-covr
Description: GNU R package for classification and regression training
Description-md5: 568fff6316b184e50b859b0f39211d0d
Homepage: https://cran.r-project.org/package=caret
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-caret/r-cran-caret_6.0-86+dfsg-1+b1_amd64.deb
Size: 5702656
MD5sum: 57e6ecfe2f0c02761f26d335efbcee5f
SHA256: 4e2f7b52d53a685337174d55cfdfe8374af30a99b8edf4b84597fb14dc68eaae