How to Install and Uninstall r-cran-kernlab Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 07,2024

1. Install "r-cran-kernlab" package

Please follow the steps below to install r-cran-kernlab on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the guidelines below to uninstall r-cran-kernlab on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-kernlab
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-kernlab package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-kernlab
Architecture: amd64
Version: 0.9-29-1build2
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2890
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 4.9), r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-kernlab/r-cran-kernlab_0.9-29-1build2_amd64.deb
Size: 2064404
MD5sum: 5b1fb9602d6ac48c9864b492214924da
SHA1: 073671d832bc3df34ebc39a76d8afd95cd39764d
SHA256: 5be47f5ee99ae67a5a60f38b24b5813e2be6301914cf210b602c02855695e6f5
SHA512: f14f7a7cc3db8beee2fd9d6095376faabba221f3d7ca21f561762de026e6613dad4ec882fe8cdf4506e7dfa3ce1faf86ec5de096d7ed2128b3541e496c355043
Homepage: https://cran.r-project.org/package=kernlab
Description-en: GNU R package for kernel-based machine learning lab
The kernlab package provides kernel-based machine learning methods
for classification, regression, clustering, novelty detection,
quantile regression and dimensionality reduction. Among other
methods kernlab includes Support Vector Machines, Spectral
Clustering, Kernel PCA, Gaussian Processes and a QP solver.
Description-md5: e6a6617f82337e217d08ca9c698ec35d