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"))
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'.
dplyr (>= 0.8.0), ggplot2 (>= 3.0.0), ggridges, glue,
posterior, reshape2, rlang (>= 0.3.0), stats, tibble (>=
2.0.0), tidyselect, utils
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)
Jonah Gabry [aut, cre],
  Tristan Mahr [aut],
  Paul-Christian Bürkner [ctb],
  Martin Modrák [ctb],
  Malcolm Barrett [ctb],
  Frank Weber [ctb],
  Eduardo Coronado Sroka [ctb],
  Teemu Sailynoja [ctb],
  Aki Vehtari [ctb]