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 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) . 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 NeedsCompilation: no Packaged: 2022-11-16 19:38:57 UTC; jgabry Author: 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] Repository: RSPM Date/Publication: 2022-11-16 22:00:08 UTC Built: R 4.2.1; ; 2023-08-03 14:59:00 UTC; unix