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

Last updated: April 28,2024

1. Install "r-cran-bayestestr" package

Please follow the guidance below to install r-cran-bayestestr on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-bayestestr" package

Please follow the steps below to uninstall r-cran-bayestestr on Ubuntu 20.10 (Groovy Gorilla):

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

3. Information about the r-cran-bayestestr package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-bayestestr
Architecture: all
Version: 0.6.0-2build1
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: 3892
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-insight (>= 0.8.0)
Recommends: r-cran-testthat, r-cran-lme4, r-cran-bayesfactor, r-cran-rstanarm, r-cran-logspline, r-cran-emmeans, r-cran-kernsmooth, r-cran-brms, r-cran-httr, r-cran-mclust
Suggests: r-cran-bridgesampling, r-cran-broom, r-cran-covr, r-cran-dplyr, r-cran-ggally, r-cran-ggplot2, r-cran-ggridges, r-cran-knitr, r-cran-mass, r-cran-performance, r-cran-rmarkdown, r-cran-rstan, r-cran-stringr, r-cran-tidyr
Filename: pool/universe/r/r-cran-bayestestr/r-cran-bayestestr_0.6.0-2build1_all.deb
Size: 2210288
MD5sum: b5178fde27e2fdd88197692986dc7a1a
SHA1: 545c21c3e4c5d210a3c2b81cbbbaa2ea3d2c73fc
SHA256: 71453ca50e7bb7bcbbf7cca2acdde00727764ea1645cf273f45b335586272611
SHA512: 7a74bd01902c4ddb5fff2211fef90a97a8ef897b1e88fb2c1f1ed512cd9f24c07d3f65a2620adb09d02f3bbfaef6c64c40455443bd823a831fd7c0b437c04a00
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