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

Last updated: May 03,2024

1. Install "r-cran-evd" package

This is a short guide on how to install r-cran-evd on Ubuntu 20.10 (Groovy Gorilla)


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

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


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

Package: r-cran-evd
Architecture: amd64
Version: 2.3-3-2build1
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: 1916
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-evd/r-cran-evd_2.3-3-2build1_amd64.deb
Size: 1488024
MD5sum: a153fbfac4fa5304ac34b138bb3184e5
SHA1: c5db10ff8eb37423ff9080c8494c37e3265cf3cb
SHA256: b7ff2d080e2969a4a05f691ac6268247475be5634b318e7bcb8dcc5a18ac3be2
SHA512: 711cc9e06e410870387674f58b29039164bc311d85e775697a256d7735cb8a8e6b6d217d90f5aa3a115b7f7165948b4cf2050a14f3e75e67267bc13ec9fe028a
Homepage: https://cran.r-project.org/package=evd
Description-en: GNU R Functions for extreme value distributions
Extends simulation, distribution, quantile and density functions to
univariate and multivariate parametric extreme value distributions, and
provides fitting functions which calculate maximum likelihood estimates
for univariate and bivariate maxima models, and for univariate and
bivariate threshold models.
Description-md5: f3949a6dbdcae7a1a93dc6f68ae6d95f