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

Last updated: April 28,2024

1. Install "r-cran-blme" package

This tutorial shows how to install r-cran-blme on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-blme
            
                    
    
    Copied

2. Uninstall "r-cran-blme" package

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


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-blme
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-blme package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-blme
Architecture: all
Version: 1.0-4-3build1
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: 511
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-lme4 (>= 1.0-6)
Recommends: r-cran-testthat (>= 0.9-0)
Filename: pool/universe/r/r-cran-blme/r-cran-blme_1.0-4-3build1_all.deb
Size: 413216
MD5sum: 22280b9208dd10b0363ac964c7bc9e0a
SHA1: 79cd7f3103a4c709011ea984804bc2697d1c3b74
SHA256: 07d15aaa829d26e86ac7502b502f48181dd99a004ab3b16c67aa26e1701f56b8
SHA512: 9d5778575b90e9cfd5ae08a0e4cbb6d3cc7d617a2b119e9969fbdeca89a140370143e2e54f4eaaae93ed62ff90e6ff94844013ba798aa113430db6a998d05e9d
Homepage: https://cran.r-project.org/package=blme
Description-en: GNU R Bayesian linear mixed-effects models
Maximum a posteriori estimation for linear and generalized linear
mixed-effects models in a Bayesian setting. Extends 'lme4' by Douglas
Bates, Martin Maechler, Ben Bolker, and Steve Walker.
Description-md5: ad836b21981636d4dd7c1a11916c8b2b