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.
- Version0.16.1
- R versionR (≥ 3.6)
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- bayestestR citation info
- Last release07/01/2025
Documentation
Team
Dominique Makowski
MaintainerShow author detailsQuentin F. Gronau
Micah K. Wilson
Indrajeet Patil
Mattan S. Ben-Shachar
Show author detailsRolesAuthorPaul-Christian Bürkner
Show author detailsRolesReviewerBrenton M. Wiernik
Henrik Singmann
Tristan Mahr
Daniel Lüdecke
Sam Crawley
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Dependencies
- Imports2 packages
- Suggests41 packages
- Reverse Imports23 packages
- Reverse Suggests8 packages