person("Tristan", "Mahr", role = "aut"),
person("Paul-Christian", "Bürkner", role = "ctb"),
person("Martin", "Modrák", role = "ctb"),
person("Malcolm", "Barrett", role = "ctb"),
person("Eduardo", "Coronado Sroka", role = "ctb"),
person("Teemu", "Sailynoja", role = "ctb"),
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'.
Imports: dplyr (>= 0.8.0), ggplot2 (>= 3.0.0), ggridges, glue,
posterior, reshape2, rlang (>= 0.3.0), stats, tibble (>=
Suggests: ggfortify, gridExtra (>= 2.2.1), hexbin, knitr (>= 1.16), loo
(>= 2.0.0), RColorBrewer, rmarkdown (>= 1.0.0), rstan (>=
shinystan (>= 2.3.0), survival, testthat (>= 2.0.0), vdiffr (>=

Imports: dplyr (>= 0.4.3), ggplot2 (>= 2.2.1), reshape2, stats, utils
rstantools (>= 1.2.0), scales, shinystan (>= 2.3.0), testthat

modeling, particularly (but not exclusively) packages interfacing with 'Stan'.

Imports: dplyr (>= 0.7.1), ggplot2 (>= 2.2.1), reshape2, stats, utils,

rstantools (>= 1.4.0), scales, shinystan (>= 2.3.0), testthat,

person("Malcolm", "Barrett", role = "ctb"))
rstantools (>= 1.5.0), scales, shinystan (>= 2.3.0), testthat

Description: Plotting functions for posterior analysis,
prior and posterior predictive checks, and MCMC diagnostics.
Imports: dplyr (>= 0.8.0), ggplot2 (>= 2.2.1), ggridges, glue,
reshape2, rlang (>= 0.3.0), stats, tibble, tidyselect, utils
Suggests: gridExtra (>= 2.2.1), hexbin, knitr (>= 1.16), loo (>=
rstanarm (>= 2.17.4), rstantools (>= 1.5.0), scales, shinystan

shinystan (>= 2.3.0), survival, testthat (>= 2.0.0), vdiffr

Package: bayespref
Type: Package
Title: Hierarchical Bayesian analysis of ecological count data
Version: 1.0
Date: 2011-05-16
Author: Zachariah Gompert and James A. Fordyce
Maintainer: James A. Fordyce <jfordyce@utk.edu>
Description: This program implements a hierarchical Bayesian analysis
of count data, such as preference experiments. It provides
population-level and individual-level preference parameter
estimates obtained via MCMC. It also allows for model
comparison using Deviance Information Criterion.
License: GPL (>= 2)
LazyLoad: yes
Depends: coda, lattice, MASS, MCMCpack, RColorBrewer
Packaged: 2012-10-29 08:58:15 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:58:15