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

Last updated: May 21,2024

1. Install "r-cran-ddalpha" package

In this section, we are going to explain the necessary steps to install r-cran-ddalpha on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide covers the steps necessary to uninstall r-cran-ddalpha on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-ddalpha
            
                    
    
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            $
        

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

Package: r-cran-ddalpha
Architecture: amd64
Version: 1.3.11-1build2
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: 1449
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, r-cran-class, r-cran-robustbase, r-cran-sfsmisc, r-cran-geometry, r-cran-rcpp (>= 0.11.0), r-cran-bh, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/r/r-cran-ddalpha/r-cran-ddalpha_1.3.11-1build2_amd64.deb
Size: 1187504
MD5sum: 89cbd63c0274d0753e4c14993988121d
SHA1: 9181b50cdbafd3fc8f423cf71647354c46223326
SHA256: 218eb2f0ce7ee8148001d46124db7af85486abb0676096973556c9c7a50ec344
SHA512: e95d27dc40a97e53d1d020cb8ca5a9396a81d4e0e38024b2ded9a8012b7addbda1362e1ba13500979017e119bea8f3fb24c9bbaf3b0758d6959a642495209cb8
Homepage: https://cran.r-project.org/package=ddalpha
Description-en: GNU R depth-based classification and calculation of data depth
Contains procedures for depth-based supervised learning, which are
entirely non-parametric, in particular the DDalpha-procedure (Lange,
Mosler and Mozharovskyi, 2014). The training data sample is transformed
by a statistical depth function to a compact low-dimensional space,
where the final classification is done. It also offers an extension to
functional data and routines for calculating certain notions of
statistical depth functions. 50 multivariate and 5 functional
classification problems are included.
Description-md5: 43ce8668054af7dd3c8a30a5652226ae