How to Install and Uninstall r-cran-bayestestr Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 13,2024

1. Install "r-cran-bayestestr" package

This guide let you learn how to install r-cran-bayestestr on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-cran-bayestestr

2. Uninstall "r-cran-bayestestr" package

Please follow the guidelines below to uninstall r-cran-bayestestr on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-cran-bayestestr $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-bayestestr package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-bayestestr
Architecture: all
Version: 0.8.2-1
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: 9239
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
Filename: pool/universe/r/r-cran-bayestestr/r-cran-bayestestr_0.8.2-1_all.deb
Size: 2459128
MD5sum: 3929b6e5ae860ea0eb1867f927c2cf3f
SHA1: d3331a95541629889a11c8cfa4546372d7714afc
SHA256: 867a508cd9c4d52acb8a6a3775542e7ea781cf4da6e3120da5752573cfbb3166
SHA512: 59ed69ea00657a50b772821b1009b09b57717f2e01401699fefdb9e3ed0dae7ab08b022f41e40a2dc8a784b3eb468915735ea5355f5f7869363cbe257d5b950a
Homepage: https://cran.r-project.org/package=bayestestR
Description-en: GNU R understand and describe Bayesian models and posterior distributions
Provides utilities to describe posterior distributions and Bayesian
models. It includes point-estimates such as Maximum A Posteriori (MAP),
measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015
) and indices used for null-hypothesis
testing (such as ROPE percentage, pd and Bayes factors).
Description-md5: 08092bdfd66305e50fe4ec096337f9a4