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

Last updated: November 22,2024

1. Install "r-cran-rcpproll" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-rcpproll
            
                    
    
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            $
        

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

Package: r-cran-rcpproll
Architecture: amd64
Version: 0.3.0-2
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: 265
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Recommends: r-cran-testthat
Suggests: r-cran-zoo
Filename: pool/universe/r/r-cran-rcpproll/r-cran-rcpproll_0.3.0-2_amd64.deb
Size: 86864
MD5sum: 561cb3b63bd90b9bec548507863ba6cd
SHA1: 3b765d83c43dc85d296a4a773eacb684dfee826b
SHA256: 75460c3d485ccfd13b928799ef87fe78450f26c78f5626c2d739987fbd6fe62d
SHA512: a8f0d683da53c0e81874c618278eed0113f2c752b6f56671fe96bea778558166168b9942971233af5e9db1659780438f547dc1ea049dd302c608bfcec5490c28
Homepage: https://cran.r-project.org/package=RcppRoll
Description-en: GNU R efficient rolling / windowed operations
Provides fast and efficient routines for
common rolling / windowed operations. Routines for the
efficient computation of windowed mean, median,
sum, product, minimum, maximum, standard deviation
and variance are provided.
Description-md5: 00727366e74e39457627346583cfb221