Package: dlbayes
Type: Package
Title: Use Dirichlet Laplace Prior to Solve Linear Regression Problem
        and Do Variable Selection
Version: 0.1.0
Author: Shijia Zhang; Meng Li
Maintainer: Shijia Zhang <zsj27@mail.ustc.edu.cn>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: GIGrvg, expm, glmnet, MASS, LaplacesDemon, stats, graphics
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-11-02 14:16:54 UTC; 75747
Repository: CRAN
Date/Publication: 2018-11-14 09:20:09 UTC
Built: R 4.6.0; ; 2026-04-26 07:00:23 UTC; unix
