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SGL: 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.

Version: 1.3
Published: 2019-09-27
DOI: 10.32614/CRAN.package.SGL
Author: Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani
Maintainer: Noah Simon <nrsimon at uw.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
In views: Survival
CRAN checks: SGL results

Documentation:

Reference manual: SGL.pdf

Downloads:

Package source: SGL_1.3.tar.gz
Windows binaries: r-devel: SGL_1.3.zip, r-release: SGL_1.3.zip, r-oldrel: SGL_1.3.zip
macOS binaries: r-release (arm64): SGL_1.3.tgz, r-oldrel (arm64): SGL_1.3.tgz, r-release (x86_64): SGL_1.3.tgz, r-oldrel (x86_64): SGL_1.3.tgz
Old sources: SGL archive

Reverse dependencies:

Reverse imports: PRSPGx
Reverse suggests: dfr, sgs

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SGL to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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