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 RStudio's Shiny web application framework 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).

Version: 2.2.1
Depends: R (≥ 3.1.0), shiny (≥ 0.12.1)
Imports: colourpicker, DT (≥ 0.2), dygraphs (≥ 0.4.5), ggplot2 (≥ 2.1.0), gridExtra, gtools, markdown (≥ 0.7.4), methods, reshape2, rsconnect (≥ 0.4.2), rstan (≥ 2.9.0-3), stats, shinyjs (≥ 0.6.0), shinythemes (≥ 1.0.1), threejs (≥ 0.2.1), utils, xtable, xts (≥ 0.9-7)
Suggests: coda, knitr (≥ 1.9), rmarkdown (≥ 0.8.1), rstanarm (≥ 2.9.0-3), testthat
Published: 2016-08-31
Author: Jonah Gabry [aut, cre], 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]
Maintainer: Jonah Gabry <jsg2201 at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: shinystan results


Reference manual: shinystan.pdf
Vignettes: ShinyStan: Deploying to
Getting Started
Package source: shinystan_2.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: shinystan_2.2.1.tgz, r-oldrel: shinystan_2.2.1.tgz
Old sources: shinystan archive

Reverse dependencies:

Reverse imports: brms, rstanarm, walkr
Reverse suggests: rstan


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