How to Install and Uninstall r-cran-bayestestr Package on Debian 11 (Bullseye)

Last updated: November 22,2024

1. Install "r-cran-bayestestr" package

In this section, we are going to explain the necessary steps to install r-cran-bayestestr on Debian 11 (Bullseye)


    
        
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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

In this section, we are going to explain the necessary steps to uninstall r-cran-bayestestr on Debian 11 (Bullseye):


    
        
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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 Debian 11 (Bullseye)

Package: r-cran-bayestestr
Version: 0.8.2-1
Installed-Size: 9239
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-insight (>= 0.12.0)
Recommends: r-cran-bayesfactor, r-cran-bridgesampling, r-cran-brms, r-cran-broom, r-cran-covr, r-cran-dplyr, r-cran-effectsize, r-cran-emmeans, r-cran-ggally, r-cran-ggplot2, r-cran-ggridges, r-cran-httr, r-cran-kernsmooth, r-cran-knitr, r-cran-mass, r-cran-mclust, r-cran-lme4, r-cran-logspline, r-cran-parameters, r-cran-performance, r-cran-rmarkdown, r-cran-rstan, r-cran-stringr, r-cran-testthat, r-cran-tidyr
Suggests: r-cran-lavaan, r-cran-rstanarm
Description: GNU R understand and describe Bayesian models and posterior distributions
Description-md5: 08092bdfd66305e50fe4ec096337f9a4
Homepage: https://cran.r-project.org/package=bayestestR
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-bayestestr/r-cran-bayestestr_0.8.2-1_all.deb
Size: 2637832
MD5sum: 80a687f34e5e8bdbb9efaea839ab309b
SHA256: 6bd016420e21113981d320f72e8c2e5d868fc58a9b27e247cd238789fdebe8b0