xylimeng/BayesianVariableSelection: Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection
The goal of dlbayes is to implement 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.
Getting started
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Package details |
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| Author | Shijia Zhang; Meng Li |
| Maintainer | Shijia Zhang <zsj27@mail.ustc.edu.cn> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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