himelmallick/Gooogle: Group Regularization for Zero-inflated Count Models

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.

Getting started

Package details

AuthorSaptarshi Chatterjee <[email protected]>, Shrabanti Chowdhury <[email protected]> and Himel Mallick <[email protected]>
MaintainerSaptarshi Chatterjee <[email protected]>, Shrabanti Chowdhury <[email protected]>, and Himel Mallick <[email protected]>
LicenseHarvard
Version0.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("himelmallick/Gooogle")
himelmallick/Gooogle documentation built on Sept. 27, 2018, 8:01 a.m.