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tidybayes  

Tidy Data and 'Geoms' for Bayesian Models
View on CRAN: Click here


Download and install tidybayes package within the R console
Install from CRAN:
install.packages("tidybayes")

Install from Github:
library("remotes")
install_github("cran/tidybayes")

Install by package version:
library("remotes")
install_version("tidybayes", "3.0.7")



Attach the package and use:
library("tidybayes")
Maintained by
Matthew Kay
[Scholar Profile | Author Map]
First Published: 2018-08-02
Latest Update: 2023-08-12
Description:
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.
How to cite:
Matthew Kay (2018). tidybayes: Tidy Data and 'Geoms' for Bayesian Models. R package version 3.0.7, https://cran.r-project.org/web/packages/tidybayes. Accessed 05 May. 2025.
Previous versions and publish date:
1.0.1 (2018-08-02 15:10), 1.0.3 (2018-10-22 07:50), 1.0.4 (2019-02-19 19:10), 1.1.0 (2019-06-02 23:10), 2.0.1 (2020-01-28 22:20), 2.0.2 (2020-03-19 16:10), 2.0.3 (2020-04-04 23:00), 2.1.1 (2020-06-19 07:50), 2.3.1 (2020-11-02 09:20), 3.0.0 (2021-07-26 21:30), 3.0.1 (2021-08-22 10:40), 3.0.2 (2022-01-05 07:10), 3.0.3 (2023-02-04 10:10), 3.0.4 (2023-03-14 05:30), 3.0.6 (2023-08-13 01:30)
Other packages that cited tidybayes R package
View tidybayes citation profile
Other R packages that tidybayes depends, imports, suggests or enhances
Complete documentation for tidybayes
Functions, R codes and Examples using the tidybayes R package
Some associated functions: add_draws . add_predicted_draws . add_predicted_rvars . combine_chains . compare_levels . compose_data . data_list . density_bins . emmeans_comparison . gather_emmeans_draws . gather_pairs . gather_variables . get_variables . n_prefix . nest_rvars . predict_curve . recover_types . reexports . sample_draws . spread_draws . spread_rvars . summarise_draws.grouped_df . tidy_draws . tidybayes-deprecated . tidybayes-models . tidybayes-package . unspread_draws . x_at_y . 
Some associated R codes: add_draws.R . combine_chains.R . compare_levels.R . compose_data.R . density_bins.R . deprecated.R . emmeans_comparison.R . epred_draws.R . epred_rvars.R . flip_aes.R . gather_draws.R . gather_emmeans_draws.R . gather_pairs.R . gather_rvars.R . gather_variables.R . get_variables.R . ggdist-curve_interval.R . ggdist-cut_cdf_qi.R . ggdist-geom_dotsinterval.R . ggdist-geom_interval.R . ggdist-geom_lineribbon.R . ggdist-geom_pointinterval.R . ggdist-geom_slabinterval.R . ggdist-lkjcorr_marginal.R . ggdist-parse_dist.R . ggdist-scales.R . ggdist-stat_dist_slabinterval.R . ggdist-stat_dotsinterval.R . ggdist-stat_interval.R . ggdist-stat_lineribbon.R . ggdist-stat_pointinterval.R . ggdist-stat_sample_slabinterval.R . ggdist-stat_slabinterval.R . ggdist-student_t.R . ggdist-theme_ggdist.R . ggdist-tidy_format_translators.R . global_variables.R . linpred_draws.R . linpred_rvars.R . nest_rvars.R . onAttach.R . point_interval.R . predict_curve.R . predicted_draws.R . predicted_rvars.R . recover_types.R . residual_draws.R . sample_draws.R . spread_draws.R . spread_rvars.R . summarise_draws.R . testthat.R . tidy_draws.R . tidybayes-models.R . tidybayes-package.R . ungather_draws.R . unspread_draws.R . util.R . x_at_y.R .  Full tidybayes package functions and examples
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