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

Last updated: September 20,2024

1. Install "r-cran-fnn" package

Learn how to install r-cran-fnn on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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

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


    
        
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                sudo apt remove
            
                        
                r-cran-fnn
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-fnn package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-fnn
Architecture: amd64
Version: 1.1.3-1build2
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 (>= 4.0.0.20200528-1), 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_1.1.3-1build2_amd64.deb
Size: 118956
MD5sum: 9a5fd1793efdb0c2fefd4e7bb2baab36
SHA1: 6ec6f3d4853db720fca039135429d56c580f9ce2
SHA256: f1d9528a0895b29fa6947343ce89a249023e8b7f1f99902f270515592583db6e
SHA512: 61f412fb8de6db6c5ae9c6e59240c41d3054db8e686d5041c5419aab317102da07a4c5f5a7ef33f4d66916f19b9c1d7f8536cc90584ab498eb1e64fba241e234
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