How to Install and Uninstall r-cran-rstan Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 21,2024
1. Install "r-cran-rstan" package
This guide covers the steps necessary to install r-cran-rstan on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
r-cran-rstan
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2. Uninstall "r-cran-rstan" package
Please follow the guidelines below to uninstall r-cran-rstan on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
r-cran-rstan
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-rstan package on Ubuntu 21.10 (Impish Indri)
Package: r-cran-rstan
Architecture: amd64
Version: 2.21.2-3
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: 8429
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-stanheaders (>= 2.21.0), r-cran-ggplot2 (>= 3.0.0), r-cran-inline, r-cran-gridextra (>= 2.0.0), r-cran-rcpp (>= 0.12.0), r-cran-rcppparallel (>= 5.0.1), r-cran-loo (>= 2.3.0), r-cran-pkgbuild, r-cran-withr, r-cran-v8, r-cran-rcppeigen (>= 0.3.3.3.0), r-cran-bh (>= 1.66.0), libc6 (>= 2.29), libgcc-s1 (>= 4.0), libstdc++6 (>= 9), libtbb2 (>= 2017~U7)
Recommends: r-cran-runit
Suggests: r-cran-kernsmooth, r-cran-shinystan (>= 2.3.0), r-cran-bayesplot (>= 1.5.0), r-cran-rmarkdown, r-cran-rstantools, r-cran-rstudioapi, r-cran-matrix, r-cran-knitr (>= 1.15.1)
Filename: pool/universe/r/r-cran-rstan/r-cran-rstan_2.21.2-3_amd64.deb
Size: 2453072
MD5sum: 6c86455f3cdac7bd2cfb8c735ec4465e
SHA1: 9feca58c53eaacc545821efcdb6d020a23fe078e
SHA256: cc79fb481f42cc65b47ce85a310095d40716ea8bb62a87b8ea301601a4bed4f9
SHA512: 06445c678bd461a5ac92e9809926fceeae15c8463060f899f31b06c9e0ca3d039491a9c76d3f1d0f7a3692bc3ec7c0e46e5b8e80c4da8a0c30c83332637bd139
Homepage: https://cran.r-project.org/package=rstan
Description-en: GNU R interface to Stan
User-facing R functions are provided to parse, compile, test, estimate,
and analyze Stan models by accessing the header-only Stan library
provided by the 'StanHeaders' package. The Stan project develops a
probabilistic programming language that implements full Bayesian
statistical inference via Markov Chain Monte Carlo, rough Bayesian
inference via 'variational' approximation, and (optionally penalized)
maximum likelihood estimation via optimization. In all three cases,
automatic differentiation is used to quickly and accurately evaluate
gradients without burdening the user with the need to derive the partial
derivatives.
Description-md5: a2598b9c408db224f70af4acf31c66e2
Architecture: amd64
Version: 2.21.2-3
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: 8429
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-stanheaders (>= 2.21.0), r-cran-ggplot2 (>= 3.0.0), r-cran-inline, r-cran-gridextra (>= 2.0.0), r-cran-rcpp (>= 0.12.0), r-cran-rcppparallel (>= 5.0.1), r-cran-loo (>= 2.3.0), r-cran-pkgbuild, r-cran-withr, r-cran-v8, r-cran-rcppeigen (>= 0.3.3.3.0), r-cran-bh (>= 1.66.0), libc6 (>= 2.29), libgcc-s1 (>= 4.0), libstdc++6 (>= 9), libtbb2 (>= 2017~U7)
Recommends: r-cran-runit
Suggests: r-cran-kernsmooth, r-cran-shinystan (>= 2.3.0), r-cran-bayesplot (>= 1.5.0), r-cran-rmarkdown, r-cran-rstantools, r-cran-rstudioapi, r-cran-matrix, r-cran-knitr (>= 1.15.1)
Filename: pool/universe/r/r-cran-rstan/r-cran-rstan_2.21.2-3_amd64.deb
Size: 2453072
MD5sum: 6c86455f3cdac7bd2cfb8c735ec4465e
SHA1: 9feca58c53eaacc545821efcdb6d020a23fe078e
SHA256: cc79fb481f42cc65b47ce85a310095d40716ea8bb62a87b8ea301601a4bed4f9
SHA512: 06445c678bd461a5ac92e9809926fceeae15c8463060f899f31b06c9e0ca3d039491a9c76d3f1d0f7a3692bc3ec7c0e46e5b8e80c4da8a0c30c83332637bd139
Homepage: https://cran.r-project.org/package=rstan
Description-en: GNU R interface to Stan
User-facing R functions are provided to parse, compile, test, estimate,
and analyze Stan models by accessing the header-only Stan library
provided by the 'StanHeaders' package. The Stan project develops a
probabilistic programming language that implements full Bayesian
statistical inference via Markov Chain Monte Carlo, rough Bayesian
inference via 'variational' approximation, and (optionally penalized)
maximum likelihood estimation via optimization. In all three cases,
automatic differentiation is used to quickly and accurately evaluate
gradients without burdening the user with the need to derive the partial
derivatives.
Description-md5: a2598b9c408db224f70af4acf31c66e2