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

Last updated: May 04,2024

1. Install "r-cran-parallelly" package

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


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

Learn how to uninstall r-cran-parallelly on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-parallelly
            
                    
    
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            $
        

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

Package: r-cran-parallelly
Architecture: all
Version: 1.23.0-1
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: 289
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Filename: pool/universe/r/r-cran-parallelly/r-cran-parallelly_1.23.0-1_all.deb
Size: 220780
MD5sum: d059e87c8fd1ef30278329a321ef2adf
SHA1: fdcb32161b0cae9a11b0bae79ad151d7cc960492
SHA256: e43b615a7283ba36def0f92f4ba071ec3e66da358c584e2967cb21b39043c0ee
SHA512: 428f5c7457f2881c8aaf39281e219de4114bc1c208fe89eb774f7500a3140e9ce3e1498e3421c943609d91ddb2aeb6817a2e6fdb392bdb9163cada0301cc70c6
Homepage: https://cran.r-project.org/package=parallelly
Description-en: GNU R enhancing the 'parallel' package
Utility functions that enhance the 'parallel' package and support the
built-in parallel backends of the 'future' package. For example,
availableCores() gives the number of CPU cores available to your R
process as given by R options and environment variables, including those
set by job schedulers on high-performance compute clusters. If none is
set, it will fall back to parallel::detectCores(). Another example is
makeClusterPSOCK(), which is backward compatible with
parallel::makePSOCKcluster() while doing a better job in setting up
remote cluster workers without the need for configuring the firewall to
do port-forwarding to your local computer.
Description-md5: 6e62289a811731de864fe387560d6150