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.
News
tidybayes 1.0.4
Fixed errors on CRAN from changes in dplyr
New features and documentation:
Initial support for add_residual_draws, towards #133
Add tidybayes-residuals vignette
Add add_draws to support models that add_[fitted|predicted]_draws does not (closes #149)
Add sample_draws to make it easier to take fewer draws anywhere in the pipeline (towards #144)
Add hypothetical outcome plots (HOPs) to examples
Minor changes:
Fix bug to support multivariate models in predicted_draws, closes #134
Add support for emm_list in gather_emmeans_draws, closes #126
Default for show.legend no longer omits all guides
Make default lineribbon color black, closes #153
tidybayes 1.0.3
Added gather_pairs method for creating custom scatterplot matrices (and more!)
Ordinal models in brms now use original category labels (#122)
NA values are now better supported in point_interval, and it has an na.rm argument (#123)
Added sampler diagnostics to tidy_draws() stan output (#109)
Added MCMCglmm+emmeans example to vignettes
Add guards to prevent usage of packages listed in Suggests
tidybayes 1.0.0
Major changes:
First CRAN release.
Various function, argument, and column name changes towards unification
with the Stan ecosystem. See help("tidybayes-deprecated") for more information.