Package: shinystan 2.6.0

Jonah Gabry

shinystan: Interactive Visual and Numerical Diagnostics and Posterior 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).

Authors:Jonah Gabry [aut, cre], Duco Veen [aut], Stan Development Team [ctb], Michael Andreae [ctb], Michael Betancourt [ctb], Bob Carpenter [ctb], Yuanjun Gao [ctb], Andrew Gelman [ctb], Ben Goodrich [ctb], Daniel Lee [ctb], Dongying Song [ctb], Rob Trangucci [ctb]

shinystan_2.6.0.tar.gz
shinystan_2.6.0.zip(r-4.6)shinystan_2.6.0.zip(r-4.5)shinystan_2.6.0.zip(r-4.4)
shinystan_2.6.0.tgz(r-4.5-any)shinystan_2.6.0.tgz(r-4.4-any)
shinystan_2.6.0.tar.gz(r-4.6-any)shinystan_2.6.0.tar.gz(r-4.5-any)
shinystan_2.6.0.tgz(r-4.5-emscripten)
shinystan.pdf |shinystan.html
shinystan/json (API)
NEWS

# Install 'shinystan' in R:
install.packages('shinystan', repos = c('https://staging.r-multiverse.org', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stan-dev/shinystan/issues

Pkgdown/docs site:https://mc-stan.org

Datasets:

On CRAN:

Conda:

bayesianbayesian-data-analysisbayesian-inferencebayesian-methodsbayesian-statisticsmcmcshiny-appsstanstatistical-graphics

13.58 score 199 stars 15 packages 1.8k scripts 34k downloads 10 mentions 14 exports 102 dependencies

Last updated from:05519b20dd (on v2.6.0). Checks:9 OK. Indexed: no.

TargetResultTotal timeArtifact
linux-devel-x86_64OK1769
source / vignettesOK308
linux-release-x86_64OK264
macos-release-arm64OK809
macos-oldrel-arm64OK1027
windows-develOK2766
windows-releaseOK222
windows-oldrelOK269
wasm-releaseOK152

Exports:as.shinystandeploy_shinystandrop_parametersgenerate_quantityis.shinystanlaunch_shinystanlaunch_shinystan_demomodel_codemodel_namenotesrename_modelretrievesso_infoupdate_sso

Dependencies:abindbackportsbase64encbayesplotBHbslibcachemcallrcheckmateclicolourpickercommonmarkcpp11crosstalkdescdigestdistributionaldplyrDTdygraphsevaluatefarverfastmapfontawesomefsgenericsggplot2ggridgesgluegridExtragtablegtoolshighrhtmltoolshtmlwidgetshttpuvigraphinlineisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelitedownloomagrittrmarkdownMatrixmatrixStatsmemoisemimeminiUInumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpromisespspurrrQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelreshape2rlangrmarkdownrstanS7sassscalesshinyshinyjsshinythemessourcetoolsStanHeadersstringistringrtensorAthreejstibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtablextsyamlzoo

Getting Started

Rendered fromshinystan-package.Rmdusingknitr::rmarkdownon Oct 16 2025.

Last update: 2021-03-30
Started: 2015-09-17

Deploying to shinyapps.io

Rendered fromdeploy_shinystan.Rmdusingknitr::rmarkdownon Oct 16 2025.

Last update: 2022-03-02
Started: 2015-09-17

Readme and manuals

Help Manual

Help pageTopics
'shinystan' R package ('ShinyStan' graphical user interface)shinystan-package
Create and test 'shinystan' objectsas.shinystan as.shinystan,array-method as.shinystan,CmdStanMCMC-method as.shinystan,list-method as.shinystan,mcmc.list-method as.shinystan,stanfit-method as.shinystan,stanreg-method is.shinystan
Deploy a 'ShinyStan' app on the web using 'shinyapps.io' by 'RStudio'deploy_shinystan
Drop parameters from a 'shinystan' objectdrop_parameters
Add new quantity to shinystan objectgenerate_quantity
Launch the 'ShinyStan' applaunch_shinystan launch_shinystan.default launch_shinystan.shinystan
'ShinyStan' demoeight_schools launch_shinystan_demo
Get summary statistics from shinystan objectretrieve
S4 'shinystan' objectsshinystan shinystan-class
View or change metadata associated with a 'shinystan' objectmodel_code model_name notes shinystan-metadata sso_info
Update an object created by the previous version of shinystanupdate_sso