brmsmargins
Bayesian Marginal Effects for 'brms' Models
Calculate Bayesian marginal effects, average marginal effects, and marginal coefficients (also called population averaged coefficients) for models fit using the 'brms' package including fixed effects, mixed effects, and location scale models. These are based on marginal predictions that integrate out random effects if necessary (see for example doi:10.1186/s12874-015-0046-6 and doi:10.1111/biom.12707).
- Version0.2.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release05/18/2022
Documentation
Team
Joshua F. Wiley
Donald Hedeker
Insights
Last 30 days
This package has been downloaded 1,106 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 34 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 14,237 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Dec 26, 2024 with 135 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
- Imports6 packages
- Suggests7 packages
- Linking To2 packages