bayestestR
Understand and Describe Bayesian Models and Posterior Distributions
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 doi:10.1016/C2012-0-00477-2) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) doi:10.21105/joss.01541.
- Version0.15.2
- R versionR (≥ 3.6)
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- bayestestR citation info
- Last release02/07/2025
Documentation
Team
Dominique Makowski
MaintainerShow author detailsTristan Mahr
Mattan S. Ben-Shachar
Micah K. Wilson
Paul-Christian Bürkner
Show author detailsRolesReviewerSam Crawley
Brenton M. Wiernik
Indrajeet Patil
Henrik Singmann
Daniel Lüdecke
Quentin F. Gronau
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Dependencies
- Imports2 packages
- Suggests41 packages
- Reverse Imports24 packages
- Reverse Suggests6 packages