PEPBVS
Bayesian Variable Selection using Power-Expected-Posterior Prior
Performs Bayesian variable selection under normal linear models for the data with the model parameters following as prior either the power-expected-posterior (PEP) or the intrinsic (a special case of the former) (Fouskakis and Ntzoufras (2022)
- Version1.0
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/19/2023
Team
Konstantina Charmpi
Dimitris Fouskakis
Show author detailsRolesAuthorIoannis Ntzoufras
Show author detailsRolesAuthor
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 cranlogs
Binaries
Dependencies
- Depends1 package
- Imports2 packages
- Linking To3 packages