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

Last updated: May 19,2024

1. Install "r-cran-randomfieldsutils" package

Learn how to install r-cran-randomfieldsutils on Ubuntu 20.10 (Groovy Gorilla)


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

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


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

Package: r-cran-randomfieldsutils
Architecture: amd64
Version: 0.5.3-1build2
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: 394
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.29), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libstdc++6 (>= 4.1.1)
Filename: pool/universe/r/r-cran-randomfieldsutils/r-cran-randomfieldsutils_0.5.3-1build2_amd64.deb
Size: 198896
MD5sum: cff3540b0af98ba0147230e80e49532a
SHA1: 6ab2c90816c90c1b21e5a05d08a4c3b65d076fbd
SHA256: 926f1ae305f4901f304b9f5ec3976f26b01387e0ce0d6330278704b730ffe140
SHA512: 0d4262fbf7327f60e05596b4b67ee501a5115b8fd72938600e371e2eab90769cc6bf27afb885690d8c6b8630f31397ed65d14f921012e5aff40c835efb52c152
Homepage: https://cran.r-project.org/package=RandomFieldsUtils
Description-en: utilities for the simulation and analysis of random fields
Various utilities are provided that might be used in spatial statistics
and elsewhere. It delivers a method for solving linear equations that
checks the sparsity of the matrix before any algorithm is used.
Furthermore, it includes the Struve functions.
Description-md5: 1e9138923c7d45f10e399a2b889197b1