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

Package details

AuthorShijia Zhang; Meng Li
MaintainerShijia Zhang <zsj27@mail.ustc.edu.cn>
LicenseMIT + file LICENSE
Package repositoryView 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.

dlbayes documentation built on May 2, 2019, 8:28 a.m.