How to Install and Uninstall r-cran-learnbayes Package on Kali Linux
Last updated: November 22,2024
1. Install "r-cran-learnbayes" package
Please follow the step by step instructions below to install r-cran-learnbayes on Kali Linux
$
sudo apt update
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$
sudo apt install
r-cran-learnbayes
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2. Uninstall "r-cran-learnbayes" package
This guide let you learn how to uninstall r-cran-learnbayes on Kali Linux:
$
sudo apt remove
r-cran-learnbayes
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-learnbayes package on Kali Linux
Package: r-cran-learnbayes
Version: 2.15.1-4
Installed-Size: 1182
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.0.0-3), r-api-4.0
Size: 964940
SHA256: 620a54364a570bb5ef0e144a6418a6ef3929dbe7a66649ef1b6447fa59cb868e
SHA1: 957c582f0fe8462a87f49385c035e7fec3c3bfa9
MD5sum: e0092eb309a0b17674ed2bc0aac1064e
Description: GNU R functions for learning bayesian inference
LearnBayes contains a collection of functions helpful in learning the
basic tenets of Bayesian statistical inference. It contains functions
for summarizing basic one and two parameter posterior distributions and
predictive distributions. It contains MCMC algorithms for summarizing
posterior distributions defined by the user. It also contains functions
for regression models, hierarchical models, Bayesian tests, and
illustrations of Gibbs sampling.
Description-md5:
Homepage: https://cran.r-project.org/package=LearnBayes
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-learnbayes/r-cran-learnbayes_2.15.1-4_all.deb
Version: 2.15.1-4
Installed-Size: 1182
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.0.0-3), r-api-4.0
Size: 964940
SHA256: 620a54364a570bb5ef0e144a6418a6ef3929dbe7a66649ef1b6447fa59cb868e
SHA1: 957c582f0fe8462a87f49385c035e7fec3c3bfa9
MD5sum: e0092eb309a0b17674ed2bc0aac1064e
Description: GNU R functions for learning bayesian inference
LearnBayes contains a collection of functions helpful in learning the
basic tenets of Bayesian statistical inference. It contains functions
for summarizing basic one and two parameter posterior distributions and
predictive distributions. It contains MCMC algorithms for summarizing
posterior distributions defined by the user. It also contains functions
for regression models, hierarchical models, Bayesian tests, and
illustrations of Gibbs sampling.
Description-md5:
Homepage: https://cran.r-project.org/package=LearnBayes
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-learnbayes/r-cran-learnbayes_2.15.1-4_all.deb