Package: dlbayes 0.1.0

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.

Authors:Shijia Zhang; Meng Li

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dlbayes/json (API)

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5 exports 0.00 score 14 dependencies 12 scripts 189 downloads

Last updated 6 years agofrom:2f0d39b5ac. Checks:OK: 7. Indexed: yes.

Exports:dldlanalysisdlhyperdlpriordlvs

Dependencies:codetoolsexpmforeachGIGrvgglmnetiteratorsLaplacesDemonlatticeMASSMatrixRcppRcppEigenshapesurvival