dlbayes
Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection
The Dirichlet Laplace shrinkage prior in Bayesian linear regression and variable selection, featuring: utility functions in implementing Dirichlet-Laplace priors such as visualization; scalability in Bayesian linear regression; penalized credible regions for variable selection.
- Version0.1.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release11/14/2018
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Team
Shijia Zhang
Meng Li
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- Imports5 packages