The goal of dlbayes is to implement the Dirichlet Laplace shrinkage prior in Bayesian linear regression and variable selection, featuring: utility functions in implementing DirichletLaplace priors such as visualization; scalability in Bayesian linear regression; penalized credible regions for variable selection.
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 GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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