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 <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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dlbayes documentation built on Nov. 14, 2018, 5:05 p.m.