Package: bayesplot
Type: Package
Title: Plotting for Bayesian Models
Version: 1.10.0
Date: 2022-11-16
Authors@R: c(person("Jonah", "Gabry", role = c("aut", "cre"), email = "jsg2201@columbia.edu"),
             person("Tristan", "Mahr", role = "aut"),
             person("Paul-Christian", "Bürkner", role = "ctb"),
             person("Martin", "Modrák", role = "ctb"),
             person("Malcolm", "Barrett", role = "ctb"),
             person("Frank", "Weber", role = "ctb"),
             person("Eduardo", "Coronado Sroka", role = "ctb"),
             person("Teemu", "Sailynoja", role = "ctb"),
             person("Aki", "Vehtari", role = "ctb"))
Maintainer: Jonah Gabry <jsg2201@columbia.edu>
Description: Plotting functions for posterior analysis, MCMC diagnostics,
    prior and posterior predictive checks, and other visualizations
    to support the applied Bayesian workflow advocated in
    Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>.
    The package is designed not only to provide convenient functionality
    for users, but also a common set of functions that can be easily used by
    developers working on a variety of R packages for Bayesian modeling,
    particularly (but not exclusively) packages interfacing with 'Stan'.
License: GPL (>= 3)
URL: https://mc-stan.org/bayesplot/
BugReports: https://github.com/stan-dev/bayesplot/issues/
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
Depends:
    R (>= 3.1.0)
Imports:
    dplyr (>= 0.8.0),
    ggplot2 (>= 3.0.0),
    ggridges,
    glue,
    posterior,
    reshape2,
    rlang (>= 0.3.0),
    stats,
    tibble (>= 2.0.0),
    tidyselect,
    utils
Suggests:
    ggfortify,
    gridExtra (>= 2.2.1),
    hexbin,
    knitr (>= 1.16),
    loo (>= 2.0.0),
    RColorBrewer,
    rmarkdown (>= 1.0.0),
    rstan (>= 2.17.1),
    rstanarm (>= 2.17.4),
    rstantools (>= 1.5.0),
    scales,
    shinystan (>= 2.3.0),
    survival,
    testthat (>= 2.0.0),
    vdiffr (>= 1.0.2)
RoxygenNote: 7.2.2
VignetteBuilder: knitr
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
