Other packages > Find by keyword >

bayestestR  

Understand and Describe Bayesian Models and Posterior Distributions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayestestR", "0.17.0")



Attach the package and use:
library("bayestestR")
Maintained by
Dominique Makowski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-08
Latest Update: 2025-07-01
Description:
Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 ) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) .
How to cite:
Dominique Makowski (2019). bayestestR: Understand and Describe Bayesian Models and Posterior Distributions. R package version 0.17.0, https://cran.r-project.org/web/packages/bayestestR. Accessed 13 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.1.0 (2019-04-08 11:42), 0.2.0 (2019-05-29 17:10), 0.2.2 (2019-06-20 14:50), 0.2.5 (2019-08-06 13:20), 0.3.0 (2019-09-22 18:30), 0.4.0 (2019-10-20 09:20), 0.5.0 (2020-01-18 09:10), 0.5.1 (2020-01-27 07:30), 0.5.2 (2020-02-12 06:10), 0.5.3 (2020-03-26 07:10), 0.6.0 (2020-04-20 08:10), 0.7.0 (2020-06-19 11:00), 0.7.2 (2020-07-20 11:30), 0.7.5 (2020-10-22 16:40), 0.8.0 (2020-12-05 10:30), 0.8.2 (2021-01-26 18:40), 0.9.0 (2021-04-08 07:40), 0.10.0 (2021-05-31 08:40), 0.10.5 (2021-07-26 11:40), 0.11.0 (2021-09-03 02:10), 0.11.5 (2021-10-30 16:00), 0.12.1 (2022-05-02 09:40), 0.13.0 (2022-09-18 04:46), 0.13.1 (2023-04-07 17:20), 0.13.2 (2024-02-12 12:40), 0.14.0 (2024-07-24 16:10), 0.15.0 (2024-10-17 13:40), 0.15.1 (2025-01-17 16:50), 0.15.2 (2025-02-07 10:10), 0.15.3 (2025-04-28 15:00), 0.16.0 (2025-05-20 17:50), 0.16.1 (2025-07-01 10:40), 0.17.0 (2025-08-29 17:10), 0.18.0 (2026-05-21 19:20)
Other packages that cited bayestestR R package
View bayestestR citation profile
Other R packages that bayestestR depends, imports, suggests or enhances
Complete documentation for bayestestR
Functions, R codes and Examples using the bayestestR R package
Some associated functions: area_under_curve . as.data.frame.density . as.numeric.p_direction . bayesfactor . bayesfactor_inclusion . bayesfactor_models . bayesfactor_parameters . bayesfactor_restricted . bayestestR-package . bci . bic_to_bf . check_prior . ci . contr.equalprior . convert_bayesian_as_frequentist . cwi . density_at . describe_posterior . describe_prior . diagnostic_draws . diagnostic_posterior . disgust . distribution . dot-extract_priors_rstanarm . dot-prior_new_location . dot-select_nums . effective_sample . equivalence_test . estimate_density . eti . hdi . map_estimate . mcse . mediation . model_to_priors . overlap . p_direction . p_map . p_rope . p_significance . p_to_bf . pd_to_p . point_estimate . reexports . reshape_iterations . rope . rope_range . sensitivity_to_prior . sexit . sexit_thresholds . si . simulate_correlation . simulate_prior . simulate_simpson . spi . unupdate . weighted_posteriors . 
Some associated R codes: area_under_curve.R . as.list.R . bayesfactor.R . bayesfactor_inclusion.R . bayesfactor_models.R . bayesfactor_parameters.R . bayesfactor_restricted.R . bayestestR-package.R . bci.R . bic_to_bf.R . check_prior.R . ci.R . contr.equalprior.R . convert_bayesian_to_frequentist.R . convert_pd_to_p.R . cwi.R . datasets.R . describe_posterior.R . describe_prior.R . diagnostic_draws.R . diagnostic_posterior.R . distribution.R . effective_sample.R . equivalence_test.R . estimate_density.R . eti.R . format.R . hdi.R . map_estimate.R . mcse.R . mediation.R . model_to_priors.R . overlap.R . p_direction.R . p_map.R . p_rope.R . p_significance.R . p_to_bf.R . plot.R . point_estimate.R . print.R . print.bayesfactor_models.R . print.equivalence_test.R . print.rope.R . print_html.R . print_md.R . reexports.R . reshape_iterations.R . rope.R . rope_range.R . sensitivity_to_prior.R . sexit.R . sexit_thresholds.R . si.R . simulate_data.R . simulate_priors.R . simulate_simpson.R . spi.R . unupdate.R . utils.R . utils_bayesfactor.R . utils_check_collinearity.R . utils_clean_stan_parameters.R . utils_hdi_ci.R . utils_posterior.R . utils_print_data_frame.R . weighted_posteriors.R . zzz.R .  Full bayestestR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

kangar00  
Kernel Approaches for Nonlinear Genetic Association Regression
Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) ...
Download / Learn more Package Citations See dependency  
iAdapt  
Two-Stage Adaptive Dose-Finding Clinical Trial Design
Simulate and implement early phase two-stage adaptive dose-finding design for binary and quasi-conti ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
IATscores  
Implicit Association Test Scores Using Robust Statistics
Compute several variations of the Implicit Association Test (IAT) scores, including the D scores (Gr ...
Download / Learn more Package Citations See dependency  

28,313

R Packages

239,283

Dependencies

74,752

Author Associations

28,314

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA