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.
- Version0.15.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- bayestestR citation info
- Last release10/17/2024
Documentation
Team
Dominique Makowski
MaintainerShow author detailsHenrik Singmann
Show author detailsRolesContributorQuentin F. Gronau
Show author detailsRolesContributorPaul-Christian Bürkner
Show author detailsRolesReviewerBrenton M. Wiernik
Daniel Lüdecke
Mattan S. Ben-Shachar
Indrajeet Patil
Tristan Mahr
Micah K. Wilson
Sam Crawley
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests39 packages
- Reverse Imports22 packages
- Reverse Suggests4 packages