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

Package: shinystan
Title: Interactive Visual and Numerical Diagnostics and Posterior
Analysis for Bayesian Models
Version: 2.2.0
Date: 2016-05-23
Authors@R: c(person("Jonah", "Gabry", role = c("aut", "cre"),
email = "jsg2201@columbia.edu"),
person(family = "Stan Development Team", role = "ctb"),
person("Michael", "Andreae", role = "ctb"),
person("Michael", "Betancourt", role = "ctb"),
person("Bob", "Carpenter", role = "ctb"),
person("Yuanjun", "Gao", role = "ctb"),
person("Andrew", "Gelman", role = "ctb"),
person("Ben", "Goodrich", role = "ctb"),
person("Daniel", "Lee", role = "ctb"),
person("Dongying", "Song", role = "ctb"),
person("Rob", "Trangucci", role = "ctb"))
Maintainer: Jonah Gabry <jsg2201@columbia.edu>
Description: 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).
URL: https://github.com/stan-dev/shinystan/, http://mc-stan.org/
BugReports: https://github.com/stan-dev/shinystan/issues/
Depends: R (>= 3.1.0), shiny (>= 0.12.1)
License: GPL (>= 3)
LazyData: true
Suggests: coda, knitr (>= 1.9), rmarkdown (>= 0.8.1), rstanarm (>=
2.9.0-3), testthat
Imports: DT (>= 0.1), 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 (>=
0.1.0), shinythemes (>= 1.0.1), threejs (>= 0.2.1), utils,
xtable, xts (>= 0.9-7)
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-24 22:29:06 UTC; jgabry
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]
Repository: CRAN
Date/Publication: 2016-05-25 00:58:41