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

Last updated: December 28,2024

1. Install "r-cran-irace" package

In this section, we are going to explain the necessary steps to install r-cran-irace on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the guidance below to uninstall r-cran-irace on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-irace
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-irace package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-irace
Architecture: amd64
Version: 3.4.1-1build1
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: 1773
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-r6, libc6 (>= 2.14)
Recommends: r-cran-testthat, python3
Suggests: r-cran-rmpi (>= 0.6.0), r-cran-knitr, r-cran-withr, r-cran-mlr (>= 2.15.0), r-cran-paramhelpers, r-cran-devtools
Filename: pool/universe/r/r-cran-irace/r-cran-irace_3.4.1-1build1_amd64.deb
Size: 1354160
MD5sum: 8edf4324b750fbd55abf6073996f8453
SHA1: 13514250ddd853847e559f2752454892f2b5b4c5
SHA256: a035df924a87bf0672dfebdcf235c65720ee99abd66f691b35182502fe3f4cde
SHA512: 3488afc1415cb8fff26f1e31dad09c2617611b7860ce2b1168c4f3f08e686496f89890d767f9b7454ef4d942a8ca7399cf1d6444eb36b4ca1a9c8551f2bf7059
Homepage: https://cran.r-project.org/package=irace
Description-en: GNU R iterated racing for automatic algorithm configuration
Iterated race is an extension of the Iterated F-race method for
the automatic configuration of optimization algorithms, that is,
(offline) tuning their parameters by finding the most appropriate
settings given a set of instances of an optimization problem.
Description-md5: a38296b68201bc01dcd4d40cdb04883d