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

Last updated: November 21,2024

1. Install "r-cran-rjags" package

Here is a brief guide to show you how to install r-cran-rjags on Ubuntu 20.10 (Groovy Gorilla)


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

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


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

Package: r-cran-rjags
Architecture: amd64
Version: 1:4-10-1build2
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: 201
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-coda (>= 0.13), jags, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Filename: pool/universe/r/r-cran-rjags/r-cran-rjags_4-10-1build2_amd64.deb
Size: 129220
MD5sum: 37f4e84e4649467f4b2f32af8840a794
SHA1: f77bfb1919a76de3ec2d35d4303d567f2f10a79c
SHA256: f83cfe051118cb583a73c2623665a3154015b9b94e3bbecc52d7cc4b5f3d824b
SHA512: c6d006f854eb79d7a435c55756a9f27a67b7a645b395b27b725d89357edca412b715144d8bf2c02bec51e0990cea58b1d4a272963ab879e6cd0974e7d118e5bb
Homepage: https://cran.r-project.org/package=rjags
Description-en: R interface to the JAGS Bayesian statistics package
rjags allows calling JAGS code from R to estimate Bayesian
statistical models using Gibbs sampling. Coupled with the coda
package, it allows the researcher to set up data in R, run a model
specified in the JAGS/BUGS language on the data, and then conduct
post-estimation analysis using R's tools.
Description-md5: 3cc06e249dd7fbdcc13abc4c4cedf44a