DESCRIPTION

Package: Gooogle
Type: Package
Title: Group Regularization for Zero-inflated Count Models
Version: 0.0.1
Date: 2017-09-11
Author: Saptarshi Chatterjee <schatterjee@niu.edu>, Shrabanti Chowdhury <gg0658@wayne.edu> and Himel Mallick <hmallick@hsph.harvard.edu>
Maintainer: Saptarshi Chatterjee <schatterjee@niu.edu>, Shrabanti Chowdhury <gg0658@wayne.edu>, and Himel Mallick <hmallick@hsph.harvard.edu>
Description: Efficient algorithm for fitting zero inflated count models in the presence of intrinsic grouping structure in the covariate space. This  includes group level selection methods such as group lasso, group MCP and group SCAD and bi-level selection method such as group bridge.
Depends: R (>= 3.5.1), MASS
License: Harvard
LazyData: TRUE
Imports: pscl, grpreg, stringr, gamlss.dist
RoxygenNote: 6.0.1