Existing R packages allow users to easily fit a large variety of models and extract and visualize the posterior draws. However, most of these packages only return a limited set of indices (e.g., point-estimates and CIs). bayestestR provides a comprehensive and consistent set of functions to analyze and describe posterior distributions generated by a variety of models objects, including popular modeling packages such as rstanarm, brms or BayesFactor.
References:
Makowski et al. (2019) tools:::Rd_expr_doi("10.21105/joss.01541")
Makowski et al. (2019) tools:::Rd_expr_doi("10.3389/fpsyg.2019.02767")
Maintainer: Dominique Makowski [email protected] (ORCID)
Authors:
Daniel Lüdecke [email protected] (ORCID)
Mattan S. Ben-Shachar [email protected] (ORCID)
Indrajeet Patil [email protected] (ORCID)
Micah K. Wilson [email protected] (ORCID)
Brenton M. Wiernik [email protected] (ORCID)
Other contributors:
Paul-Christian Bürkner [email protected] [reviewer]
Tristan Mahr [email protected] (ORCID) [reviewer]
Henrik Singmann [email protected] (ORCID) [contributor]
Quentin F. Gronau (ORCID) [contributor]
Sam Crawley [email protected] (ORCID) [contributor]
bayestestR
Useful links: