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.
|Author||Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani|
|Date of publication||2013-04-02 20:51:39|
|Maintainer||Noah Simon <firstname.lastname@example.org>|
cvSGL: Fit and cross-validate a GLM with a combination of lasso and...
plot.cv.SGL: plots the cross-validated error curve produced by cv.SGL
predictSGL: Outputs predicted responses from an SGL model for new...
SGL: Fit a GLM with a combination of lasso and group lasso...
SGL-package: Fit a GLM (or cox model) with a combination of lasso and...
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