How to Install and Uninstall r-cran-bayestestr Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: May 13,2024

1. Install "r-cran-bayestestr" package

Please follow the guidelines below to install r-cran-bayestestr on Ubuntu 22.10 (Kinetic Kudu)

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

2. Uninstall "r-cran-bayestestr" package

Please follow the instructions below to uninstall r-cran-bayestestr on Ubuntu 22.10 (Kinetic Kudu):

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

3. Information about the r-cran-bayestestr package on Ubuntu 22.10 (Kinetic Kudu)

Package: r-cran-bayestestr
Architecture: all
Version: 0.12.1-1
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: 1312
Depends: r-base-core (>= 4.2.0-1ubuntu1), r-api-4.0, r-cran-insight (>= 0.17.0), r-cran-datawizard (>= 0.4.0)
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-gamm4, r-cran-glmmtmb, r-cran-lavaan, r-cran-patchwork, r-cran-quadprog, r-cran-posterior, r-cran-rstanarm, r-cran-spelling
Filename: pool/universe/r/r-cran-bayestestr/r-cran-bayestestr_0.12.1-1_all.deb
Size: 862918
MD5sum: 84a2f00affd23b3d8c9642b1be6b02f1
SHA1: e24bcac31d5167f263666f9e57703bf7bb8e1fe3
SHA256: d24e5ee6c7639f8495ee8906745be17bf1aae32d30f1495e1d75117ac226b346
SHA512: 82c93b6c9da8acd578f381f2ba17010bd959e24079b2e4a474a85e037417558a327c234d948b786403e7aea08e3717a5f915c0b93124e50679e1542e927cfa83
Homepage: https://cran.r-project.org/package=bayestestR
Description: GNU R understand and describe Bayesian models and posterior distributions
Description-md5: 08092bdfd66305e50fe4ec096337f9a4