shinystan: Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

We provide 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 package and the No-U-Turn sampler).

Version: 2.0.1
Depends: R (≥ 3.1.0), shiny (≥ 0.12.1)
Imports: DT (≥ 0.1), dygraphs (≥ 0.4.5), ggplot2 (≥ 1.0.0), gridExtra, gtools, markdown (≥ 0.7.4), methods, reshape2, stats, shinyjs (≥ 0.1.0), shinythemes (≥ 1.0.1), threejs (≥ 0.2.1), utils, xtable, xts (≥ 0.9-7)
Suggests: coda, knitr (≥ 1.9), rstan (≥ 2.7), testthat
Published: 2015-09-17
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 columbia.edu>
BugReports: https://github.com/stan-dev/shinystan/issues
License: GPL (≥ 3)
URL: https://github.com/stan-dev/shinystan, http://mc-stan.org/
NeedsCompilation: no
CRAN checks: shinystan results

Downloads:

Reference manual: shinystan.pdf
Vignettes: Deploying to shinyapps.io
Basics
Package source: shinystan_2.0.1.tar.gz
Windows binaries: r-devel: shinystan_2.0.1.zip, r-release: shinystan_2.0.1.zip, r-oldrel: shinystan_2.0.1.zip
OS X Snow Leopard binaries: r-release: shinystan_2.0.0.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: shinystan_2.0.1.tgz
Old sources: shinystan archive

Reverse dependencies:

Reverse imports: brms, walkr