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

Last updated: November 07,2024

1. Install "r-cran-fnn" package

This tutorial shows how to install r-cran-fnn on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the step by step instructions below to uninstall r-cran-fnn on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-fnn
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-fnn package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-fnn
Architecture: amd64
Version: 1.1.3-2
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: 215
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.9)
Suggests: r-cran-mvtnorm
Filename: pool/universe/r/r-cran-fnn/r-cran-fnn_1.1.3-2_amd64.deb
Size: 119280
MD5sum: 63c93aa73ea001fedc9e16ba8d6c88ed
SHA1: 1a7fe1c637fa5e243a380779c68d8604b734e718
SHA256: eee47981353deee125c3cda19e931df0d9d10fa557b2b2c5c5880ea4d374e14d
SHA512: 91f2f8d6415e1c4bff59dfdffe57b5e62e0758b3c674bab029da3364a9efede96c3d3ac5d64711d2ee7da844ffc93ea5f89b0f4c7d89e621c3d8409b235f879f
Homepage: https://cran.r-project.org/package=FNN
Description-en: GNU R fast nearest neighbor search algorithms and applications
Cover-tree and kd-tree fast k-nearest neighbor search algorithms and
related applications including KNN classification, regression and
information measures are implemented.
Description-md5: 882e91f85f41524d70c9a8a9d46d1be4