SGL-package: Fit a GLM (or Cox Model) with a Combination of Lasso and...

Description Details Author(s) References

Description

Fit a regularized generalized linear model via penalized maximum likelihood. The model is fit for a path of values of the penalty parameter. Fits linear, logistic and Cox models.

Details

Package: SGL
Type: Package
Version: 1.0
Date: 2012-3-12
License: GPL
LazyLoad: yes

Only 4 functions: SGL cvSGL predictSGL plot.cvSGL

Author(s)

Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani

Maintainer: Noah Simon <nrsimon@uw.edu>

References

Simon, N., Friedman, J., Hastie T., and Tibshirani, R. (2011) A Sparse-Group Lasso,
http://faculty.washington.edu/nrsimon/SGLpaper.pdf


SGL documentation built on Sept. 28, 2019, 1:03 a.m.