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
Show author detailsRolesAuthorIndrajeet Patil
Henrik Singmann
Daniel Lüdecke
Quentin F. Gronau
Insights
Last 30 days
This package has been downloaded 86,002 times in the last 30 days. The kind of number that gets mentioned in a keynote speech. Well done! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3,477 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 821,369 times in the last 365 days. Half a million downloads! This work is now a household name in certain academic circles. The day with the most downloads was Oct 22, 2024 with 4,478 downloads.
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
- Imports2 packages
- Suggests41 packages
- Reverse Imports24 packages
- Reverse Suggests6 packages