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

Last updated: May 21,2024

1. Install "r-cran-loo" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-loo
            
                    
    
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            $
        

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

Package: r-cran-loo
Architecture: all
Version: 2.2.0-2build1
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: 3520
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-checkmate, r-cran-matrixstats (>= 0.52)
Recommends: r-cran-testthat (>= 2.1.0)
Suggests: r-cran-bayesplot (>= 1.7.0), r-cran-brms (>= 2.10.0), r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-rstan, r-cran-rstanarm (>= 2.19.0), r-cran-rstantools, r-cran-spdep
Filename: pool/universe/r/r-cran-loo/r-cran-loo_2.2.0-2build1_all.deb
Size: 2741716
MD5sum: 44758e913c1d00351e7bae9f5a94ff8b
SHA1: 7b8ac814a8802aa0eced5d0d74c10429f844d09b
SHA256: ae21a3e74fb0541197345a2c7d3d713598fb6d0d9cdd6793cf2354b26df23a2c
SHA512: 78629b31fb2f55725decd98f589df4e8e189839d790416d40adde776f78af594cd5598fd83cbb179dd4d17218bb0f416afa0d3370f51479d4e19bc03f9f6f29b
Homepage: https://cran.r-project.org/package=loo
Description-en: GNU R leave-one-out cross-validation and WAIC for Bayesian models
Efficient approximate leave-one-out cross-validation (LOO) for Bayesian
models fit using Markov chain Monte Carlo. The approximation uses Pareto
smoothed importance sampling (PSIS), a new procedure for regularizing
importance weights. As a byproduct of the calculations, it is possible
as well to obtain approximate standard errors for estimated predictive
errors and for the comparison of predictive errors between models. The
package also provides methods for using stacking and other model
weighting techniques to average Bayesian predictive distributions.
Description-md5: 541ebc4ccd5628907cfdc754e577ac33