How to Install and Uninstall r-cran-bayestestr Package on Ubuntu 20.04 LTS (Focal Fossa)

Last updated: November 07,2024

1. Install "r-cran-bayestestr" package

This tutorial shows how to install r-cran-bayestestr on Ubuntu 20.04 LTS (Focal Fossa)


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

Please follow the instructions below to uninstall r-cran-bayestestr on Ubuntu 20.04 LTS (Focal Fossa):


    
        
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                sudo apt remove
            
                        
                r-cran-bayestestr
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-bayestestr package on Ubuntu 20.04 LTS (Focal Fossa)

Package: r-cran-bayestestr
Architecture: all
Version: 0.5.2-1
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: 3856
Depends: r-base-core (>= 3.6.2-2build1), r-api-3.5, r-cran-insight (>= 0.8.0)
Recommends: r-cran-testthat, r-cran-lme4, r-cran-bayesfactor, r-cran-rstanarm, r-cran-logspline, r-cran-emmeans, r-cran-kernsmooth, r-cran-brms, r-cran-httr, r-cran-mclust
Suggests: r-cran-bridgesampling, r-cran-broom, r-cran-covr, r-cran-dplyr, r-cran-ggally, r-cran-ggplot2, r-cran-ggridges, r-cran-knitr, r-cran-mass, r-cran-performance, r-cran-rmarkdown, r-cran-rstan, r-cran-stringr, r-cran-tidyr
Filename: pool/universe/r/r-cran-bayestestr/r-cran-bayestestr_0.5.2-1_all.deb
Size: 2187684
MD5sum: ce69770b8726a30b0afbf813fa1c0bb9
SHA1: 4546c87bac5e5259f2a2914a85acc74635ea0999
SHA256: f3c99699aa046ef6b5f87791212e5c94d696baa449b44b06d315ed52f294a95f
Homepage: https://cran.r-project.org/package=bayestestR
Description: GNU R understand and describe Bayesian models and posterior distributions
Description-md5: 08092bdfd66305e50fe4ec096337f9a4