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.
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