SGL v1.3

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Fit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization

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.

Functions in SGL

Name Description
print.SGL prints a summary of the SGL solution path
plot.cv.SGL plots the cross-validated error curve produced by cv.SGL
SGL Fit a GLM with a Combination of Lasso and Group Lasso Regularization
cvSGL Fit and Cross-Validate a GLM with a Combination of Lasso and Group Lasso Regularization
SGL-package Fit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization
predictSGL Outputs Predicted Responses from an SGL Model for New Observations
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Details

Type Package
Date 2019-9-22
License GPL
LazyLoad yes
Repository CRAN
NeedsCompilation yes
Packaged 2019-09-27 17:27:56 UTC; noahsimon
Date/Publication 2019-09-27 19:40:02 UTC

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