MBSP
Multivariate Bayesian Model with Shrinkage Priors
Gibbs sampler for fitting multivariate Bayesian linear regression with shrinkage priors (MBSP), using the three parameter beta normal family. The method is described in Bai and Ghosh (2018) doi:10.1016/j.jmva.2018.04.010.
- Version4.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/17/2023
Documentation
Team
Ray Bai
Malay Ghosh
Insights
Last 30 days
This package has been downloaded 207 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! 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 3,093 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 35 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
- Imports3 packages
- Reverse Suggests1 package