Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| 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 CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the dlbayes package in your browser
Any scripts or data that you put into this service are public.
