How to Install and Uninstall r-cran-rjags Package on Kali Linux
Last updated: November 07,2024
1. Install "r-cran-rjags" package
This tutorial shows how to install r-cran-rjags on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
r-cran-rjags
Copied
2. Uninstall "r-cran-rjags" package
Please follow the step by step instructions below to uninstall r-cran-rjags on Kali Linux:
$
sudo apt remove
r-cran-rjags
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the r-cran-rjags package on Kali Linux
Package: r-cran-rjags
Version: 1:4-15-1
Installed-Size: 203
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-coda (>= 0.13), jags (>= 4.3.2), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Size: 130140
SHA256: 86a6776ffa877002b384ea5eec9c99585e905c3eaa19060780faceb1b4d28f87
SHA1: 493d1b2a76b23f84ed429dfac17a68e960ff27fd
MD5sum: 9fcd204dfc91973800bebd2b4f4eb46e
Description: 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:
Homepage: https://cran.r-project.org/package=rjags
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-rjags/r-cran-rjags_4-15-1_amd64.deb
Version: 1:4-15-1
Installed-Size: 203
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-coda (>= 0.13), jags (>= 4.3.2), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Size: 130140
SHA256: 86a6776ffa877002b384ea5eec9c99585e905c3eaa19060780faceb1b4d28f87
SHA1: 493d1b2a76b23f84ed429dfac17a68e960ff27fd
MD5sum: 9fcd204dfc91973800bebd2b4f4eb46e
Description: 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:
Homepage: https://cran.r-project.org/package=rjags
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-rjags/r-cran-rjags_4-15-1_amd64.deb