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

Last updated: November 26,2024

1. Install "r-cran-spam" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Learn how to uninstall r-cran-spam on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-spam
            
                    
    
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            $
        

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

Package: r-cran-spam
Architecture: amd64
Version: 2.5-1-1build1
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: 3325
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-dotcall64, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Recommends: r-cran-testthat, r-cran-fields, r-cran-truncdist
Suggests: r-cran-sparsem, r-cran-matrix, r-cran-knitr, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-spam/r-cran-spam_2.5-1-1build1_amd64.deb
Size: 2630804
MD5sum: ea1304c8d4f28e404db2e09ad20715b6
SHA1: d5bd910fc4423d6ad04f31cf1c987f46e762c2a9
SHA256: a4b6e1fc441793428aa1fb114cecbdab7e47158484ed80923e97e283f6f23b4d
SHA512: edc0bc6421e1335abc53d64bb4d8d199cb69e5dd87586386c2186e7d1f0815e555f84c763fbc85f71ef859f5a2655c5bc2781dc4cbfb41139c8670171dfdf3d0
Homepage: https://cran.r-project.org/package=spam
Description-en: GNU R functions for sparse matrix algebra
Set of functions for sparse matrix algebra. Differences with SparseM/Matrix
are:
1. only (essentially) one sparse matrix format supported,
2. based on transparent and simple structure(s),
3. tailored for MCMC calculations within GMRF.
4. S3 and S4 like-"compatible"
Description-md5: b86ca9efc6a17c621f45f80d0252b3e2