Package: shinystan
Title: Interactive Visual and Numerical Diagnostics and Posterior
        Analysis for Bayesian Models
Version: 2.1.0
Date: 2016-01-06
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), shiny (>= 0.12.1)
License: GPL (>= 3)
LazyData: true
Suggests: coda, knitr (>= 1.9), rstan (>= 2.7), rmarkdown (>= 0.8.1),
        testthat
Imports: DT (>= 0.1), dygraphs (>= 0.4.5), ggplot2 (>= 2.0.0),
        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)
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-01-06 16:19:19 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: 2016-01-06 17:41:01
