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

Last updated: May 11,2024

1. Install "r-cran-ipred" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-cran-ipred on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-ipred
            
                    
    
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            $
        

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

Package: r-cran-ipred
Architecture: amd64
Version: 0.9-9-2
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: 473
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rpart (>= 3.1-8), r-cran-mass, r-cran-survival, r-cran-nnet, r-cran-class, r-cran-prodlim
Recommends: r-cran-mlbench
Suggests: r-cran-mvtnorm, r-cran-th.data
Filename: pool/universe/r/r-cran-ipred/r-cran-ipred_0.9-9-2_amd64.deb
Size: 385672
MD5sum: 074707aaeefb54392991fc08f9b2c03a
SHA1: b5a47b8a40bee8cf4c64ce1bdea129d5912b24c2
SHA256: 3a8455cefc36106c6f8902b0cfe099b849a208a43a3b853df36008f6082cd98d
SHA512: 2827f3a4e22f4d0134d3a5b041f7364dc62f23851a46e6cb0f33fdaaad98ab4e74f49997bd787c4ace9f2f3632d52317bbf5950de498d7a481a4529fdacd340e
Homepage: https://cran.r-project.org/package=ipred
Description-en: GNU R improved predictors
Improved predictive models by indirect classification and
bagging for classification, regression and survival problems
as well as resampling based estimators of prediction error.
Description-md5: d7672fa42e70c4ef0c602fa35b380718