tidybayes: Tidy Data and 'Geoms' for Bayesian Models (original) (raw)

Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.

Version: 3.0.7
Depends: R (≥ 4.0.0)
Imports: methods, ggdist (≥ 3.0.0), dplyr (≥ 1.1.0), tidyr (≥ 1.0.0), ggplot2 (≥ 3.3.5), coda, rlang (≥ 0.3.0), arrayhelpers, tidyselect, tibble, magrittr, posterior (≥ 1.0.1), withr, cli, vctrs
Suggests: knitr, testthat, purrr (≥ 0.2.3), forcats, vdiffr (≥ 1.0.0), svglite, rstan (≥ 2.17.0), rstantools (≥ 2.1.0), runjags, rjags, jagsUI, rstanarm (≥ 2.19.2), emmeans, broom (≥ 0.4.3), MCMCglmm, bayesplot, modelr, brms (≥ 2.16.0), cowplot, covr, rmarkdown, ggrepel, bindrcpp, RColorBrewer, gganimate, gifski, png, ragg, pkgdown, distributional, transformr
Published: 2024-09-15
DOI: 10.32614/CRAN.package.tidybayes
Author: Matthew Kay [aut, cre], Timothy Mastny [ctb]
Maintainer: Matthew Kay
BugReports: https://github.com/mjskay/tidybayes/issues
License: GPL (≥ 3)
URL: https://mjskay.github.io/tidybayes/,https://github.com/mjskay/tidybayes/
NeedsCompilation: no
Language: en-US
Citation: tidybayes citation info
Materials: NEWS
CRAN checks: tidybayes results

Documentation:

Downloads:

Reverse dependencies:

Reverse imports: bartMan, BayesGrowth, bennu, fido, INSPECTumours, mcmsupply, mcp, ppcseq, rcbayes, reslr, surveil, tidytreatment, trialr
Reverse suggests: bmm, multiverse

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