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

Last updated: December 29,2024

1. Install "r-cran-shinystan" package

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

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

2. Uninstall "r-cran-shinystan" package

This is a short guide on how to uninstall r-cran-shinystan on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-cran-shinystan
Architecture: all
Version: 2.5.0-3
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: 2897
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-shiny (>= 1.0.3), r-cran-bayesplot (>= 1.5.0), r-cran-colourpicker, r-cran-dt (>= 0.2), r-cran-dygraphs (>= 1.1.1.2), r-cran-ggplot2 (>= 2.1.1), r-cran-gridextra, r-cran-gtools, r-cran-markdown (>= 0.7.4), r-cran-reshape2, r-cran-rsconnect (>= 0.4.2), r-cran-rstan (>= 2.17.1), r-cran-shinyjs (>= 0.6.0), r-cran-shinythemes (>= 1.0.1), r-cran-threejs (>= 0.2.1), r-cran-xtable, r-cran-xts (>= 0.9-7)
Recommends: r-cran-testthat, r-cran-rstanarm (>= 2.17.4), r-cran-coda
Suggests: r-cran-knitr (>= 1.9), r-cran-rmarkdown (>= 0.8.1)
Filename: pool/universe/r/r-cran-shinystan/r-cran-shinystan_2.5.0-3_all.deb
Size: 2509868
MD5sum: 9ff6f5eeb483061dcc9f0d0a2ebc5d94
SHA1: a1bd78912d58fe34f6016c94db01bf10c260b8dd
SHA256: e70f6085e743f23cbad4db33f50f15536777c608f2b38c0814689fdc9fdd761f
SHA512: 7108d2b2c1524ba98ac99acad8f86cb4761d01ace4fccdd0f12c7b1146626472c0c6b7ebb34ee66e7b16dcc4d68e6298a29838154c67d29b8f57f453784c3337
Homepage: https://cran.r-project.org/package=shinystan
Description-en: GNU R interactive diagnostics and analysis for Bayesian models
A graphical user interface for interactive Markov chain Monte
Carlo (MCMC) diagnostics and plots and tables helpful for analyzing a
posterior sample. The interface is powered by the 'Shiny' web
application framework from 'RStudio' and works with the output of MCMC
programs written in any programming language (and has extended
functionality for 'Stan' models fit using the 'rstan' and 'rstanarm'
packages).
Description-md5: 9f910143442cee4b30bdc3758b3e84ef