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.
|Author||Shijia Zhang; Meng Li|
|Maintainer||Shijia Zhang <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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