How to Install and Uninstall r-cran-proc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "r-cran-proc" package

Please follow the steps below to install r-cran-proc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-cran-proc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-proc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-proc package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-proc
Architecture: amd64
Version: 1.16.2-2build1
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: 1307
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-plyr, r-cran-rcpp (>= 0.11.1), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat, r-cran-mass, r-cran-vdiffr, r-cran-logcondens, r-cran-ggplot2
Suggests: r-cran-doparallel
Filename: pool/universe/r/r-cran-proc/r-cran-proc_1.16.2-2build1_amd64.deb
Size: 881964
MD5sum: cab29cd4b4a8faf507387746d50d30d8
SHA1: a3e7c487533ee93cab882de3aa37157714c9799d
SHA256: 5f98084d9ebae4025edf9400de9043dd45a26b5228ea876dd87159bae1b9d814
SHA512: a20614f0f9bd84d836aae5a4c6233ac06cec2e4161069e8f6be909d65fd6b793725d178901086f4c8c7b314fb9dbd7834a8cd45437217df4d0f4f28fec139ed0
Homepage: https://cran.r-project.org/package=pROC
Description-en: Display and Analyze ROC Curves
Tools for visualizing, smoothing and comparing receiver operating
characteristic (ROC curves). (Partial) area under the curve (AUC) can be
compared with statistical tests based on U-statistics or bootstrap.
Confidence intervals can be computed for (p)AUC or ROC curves.
Description-md5: a4faf3c6e1f48cd984181a92d99979a7