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 <mjskay at northwestern.edu> 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, BayesERtools, BayesGrowth, bennu, fido, INSPECTumours, mcmsupply, mcp, ppcseq, rcbayes, reslr, surveil, tidytreatment, trialr Reverse suggests: aggreCAT, bmm, multiverse, rstanemax, trps Linking:Please use the canonical form https://CRAN.R-project.org/package=tidybayes to link to this page.
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