The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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'.
Version: | 1.11.1 |
Depends: | R (≥ 3.1.0) |
Imports: | dplyr (≥ 0.8.0), ggplot2 (≥ 3.4.0), ggridges (≥ 0.5.5), 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) |
Published: | 2024-02-15 |
DOI: | 10.32614/CRAN.package.bayesplot |
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] |
Maintainer: | Jonah Gabry <jsg2201 at columbia.edu> |
BugReports: | https://github.com/stan-dev/bayesplot/issues/ |
License: | GPL (≥ 3) |
URL: | https://mc-stan.org/bayesplot/ |
NeedsCompilation: | no |
SystemRequirements: | pandoc (>= 1.12.3), pandoc-citeproc |
Citation: | bayesplot citation info |
Materials: | NEWS |
CRAN checks: | bayesplot results |
Reference manual: | bayesplot.pdf |
Vignettes: |
Graphical posterior predictive checks Plotting MCMC draws Visual MCMC diagnostics |
Package source: | bayesplot_1.11.1.tar.gz |
Windows binaries: | r-devel: bayesplot_1.11.1.zip, r-release: bayesplot_1.11.1.zip, r-oldrel: bayesplot_1.11.1.zip |
macOS binaries: | r-release (arm64): bayesplot_1.11.1.tgz, r-oldrel (arm64): bayesplot_1.11.1.tgz, r-release (x86_64): bayesplot_1.11.1.tgz, r-oldrel (x86_64): bayesplot_1.11.1.tgz |
Old sources: | bayesplot archive |
Reverse depends: | bmscstan, walker |
Reverse imports: | ammiBayes, AntMAN, baggr, bang, bayesforecast, bayesGAM, BayesGrowth, BayesMultiMode, bayesvl, blavaan, brms, bssm, bvhar, cosimmr, dapper, dmbc, FlexReg, footBayes, hmcdm, hmclearn, lgpr, mcp, missingHE, MixSIAR, multilevelcoda, multinma, MultRegCMP, mvgam, NPBayesImputeCat, OncoBayes2, pivmet, RBesT, revdbayes, rstanarm, shinystan, simmr, TriDimRegression, webSDM |
Reverse suggests: | bayesPO, bayestestR, bennu, breathteststan, bsitar, CausalQueries, countSTAR, Ecfun, emmeans, geostan, glmmfields, greta, GUD, HTLR, isotracer, loo, mcmcensemble, mcmcsae, performance, pompp, priorsense, projpred, psborrow2, rmsb, rstan, tidybayes, tipsae, unmconf |
Please use the canonical form https://CRAN.R-project.org/package=bayesplot to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.