Networkbased regularization has achieved success in variable selection for highdimensional biological data due to its ability to incorporate correlations between genomic features. This package provides procedures for fitting networkbased regularization, minimax concave penalty (MCP) and lasso penalty for generalized linear models. This current version, regnet0.2.0, focuses on binary outcomes. Functions for continuous, survival outcomes and other regularization methods will be included in the forthcoming upgraded versions.
Package details 


Author  Jie Ren, Luann C. Jung, Yinhao Du, Cen Wu, Yu Jiang, Junhao Liu 
Date of publication  20171015 03:08:32 UTC 
Maintainer  Jie Ren <[email protected]> 
License  GPL2 
Version  0.2.0 
URL  https://github.com/jrhub/regnet 
Package repository  View on CRAN 
Installation 
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