Package: shinystan
Title: Interactive Visual and Numerical Diagnostics and Posterior
        Analysis for for Bayesian Models
Version: 2.0.0
Date: 2015-08-09
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: 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).
URL: https://github.com/stan-dev/shinystan, http://mc-stan.org/
BugReports: https://github.com/stan-dev/shinystan/issues
Depends: R (>= 3.1.0), ggplot2 (>= 1.0.0), shiny (>= 0.12.1)
License: GPL (>= 3)
LazyData: true
Suggests: coda, knitr (>= 1.9), rstan (>= 2.7), testthat
Imports: DT (>= 0.1), dygraphs (>= 0.4.5), gridExtra, gtools, markdown
        (>= 0.7.4), methods, reshape2, stats, shinyjs (>= 0.0.7.0),
        shinythemes (>= 1.0.1), threejs (>= 0.2.1), utils, xtable (>=
        1.7-4), xts (>= 0.9-7)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-08-10 17:56:36 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: 2015-08-10 20:47:14
