FBMS
Flexible Bayesian Model Selection and Model Averaging
Implements MJMCMC (mode jumping MCMC) described in Hubin and Storvik (2018) doi:10.1016/j.csda.2018.05.020 and GMJMCMC (genetically modified MJMCMC) described in Hubin et al. (2021) doi:10.1613/jair.1.13047 algorithms as well as the subsampling counterpart described in Lachmann et al. (2022) doi:10.1016/j.ijar.2022.08.018 for flexible Bayesian model selection and model averaging.
- Version1.0
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?Yes
- Hubin and Storvik (2018)
- Hubin et al. (2021)
- Lachmann et al. (2022)
- Last release12/21/2023
Documentation
Team
Jon Lachmann
MaintainerShow author detailsAliaksandr Hubin
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 223 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 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 2,234 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Mar 01, 2025 with 45 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
- Depends2 packages
- Imports1 package
- Suggests4 packages
- Linking To1 package