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

Last updated: May 14,2024

1. Install "r-cran-rcpproll" package

Please follow the guidance below to install r-cran-rcpproll on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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 instructions below to uninstall r-cran-rcpproll on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: r-cran-rcpproll
Architecture: amd64
Version: 0.3.0-1build2
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: 285
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Suggests: r-cran-zoo, r-cran-testthat
Filename: pool/universe/r/r-cran-rcpproll/r-cran-rcpproll_0.3.0-1build2_amd64.deb
Size: 87464
MD5sum: 3f17e11f7d52f3a80135c802d3f997fb
SHA1: a8bba20f12b31c3d908546bd15355fb41b88ebeb
SHA256: e96426e931e369259db9b64e0e0bfa8fefac46705899ad0ae15945406ee6d46a
SHA512: 9ff69aee744f4c4d580411dfd8390ad15ae7d46de8baa9e7ad6967377185b666f905a2d3c8fc58a17760dbc13b756af2ca169ad22afa0e3a0ad6ab58046eabca
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