Nothing
Efficient algorithms for fitting the regularization path of linear or logistic regression models with grouped penalties. This includes group selection methods such as group lasso, group MCP, and group SCAD as well as bilevel selection methods such as the group exponential lasso, the composite MCP, and the group bridge.
Package details 


Author  Patrick Breheny [aut, cre], Yaohui Zeng [ctb] 
Date of publication  20170706 10:19:31 UTC 
Maintainer  Patrick Breheny <patrickbreheny@uiowa.edu> 
License  GPL3 
Version  3.12 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.