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bayestestR (version 0.15.0)

bayestestR-package: bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework

Description

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")

Arguments

Author

Maintainer: Dominique Makowski dom.makowski@gmail.com (ORCID)

Authors:

Other contributors:

Details

bayestestR

See Also