Fits hierarchical regularized regression models to incoporate potentially informative external data. Utilizes coordinate descent to efficiently fit regularized regression models both with and without external information with the most common penalties used in practice (i.e. ridge, lasso, elastic net). Support for standard R matrices, sparse matrices and big.matrix objects.
Package details 


Author  Garrett M. Weaver 
Maintainer  Garrett M. Weaver <[email protected]> 
License  GPL2  file LICENSE 
Version  0.1.2 
URL  https://github.com/USCbiostats/xrnet 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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