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

Last updated: May 19,2024

1. Install "r-cran-rcppparallel" package

Learn how to install r-cran-rcppparallel on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-rcppparallel
            
                    
    
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2. Uninstall "r-cran-rcppparallel" package

Here is a brief guide to show you how to uninstall r-cran-rcppparallel on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-rcppparallel
            
                    
    
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            $
        

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

Package: r-cran-rcppparallel
Architecture: amd64
Version: 5.0.2+dfsg-4
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: 263
Depends: r-base-core (>= 4.0.4-1build1), r-api-4.0, libc6 (>= 2.4), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.1.1), libtbb2 (>= 2017~U7), libtbb-dev
Recommends: r-cran-runit, r-cran-rcpp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-rcppparallel/r-cran-rcppparallel_5.0.2+dfsg-4_amd64.deb
Size: 103372
MD5sum: 923975d57dfe54ce6acbcde553e6b9f9
SHA1: e7a74ec24d86085b1d8b84b1a984d3ecb780ac7d
SHA256: f6435488adcaf2c9a14b247a5cfcb1a59d729d62c5533f834c8a31bfd4e8f24d
SHA512: aceb7717aa959d9b67331553245be9361a4412827247a97c3e4b645afc6812cea2c47950561e86d8dd5bd320ad1a54dd4997652590368d541e637c4417e6bd5e
Homepage: https://cran.r-project.org/package=RcppParallel
Description-en: parallel programming tools for Rcpp
High level functions for parallel programming with 'Rcpp' (GNU R).
For example, the 'parallelFor()' function can be used to convert the work of
a standard serial "for" loop into a parallel one and the 'parallelReduce()'
function can be used for accumulating aggregate or other values.
Description-md5: 33e0e1ca6e4cd7102cb489dac22b3502