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gglasso: Group Lasso Penalized Learning Using a Unified BMD Algorithm

A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) DOI: <doi:10.1007/s11222-014-9498-5>.

Version: 1.5.1
Imports: methods
Suggests: testthat, knitr, rmarkdown
Published: 2024-03-24
DOI: 10.32614/CRAN.package.gglasso
Author: Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/), Hui Zou [aut] (http://users.stat.umn.edu/~zouxx019/), Sahir Bhatnagar [aut] (http://sahirbhatnagar.com/)
Maintainer: Yi Yang <yi.yang6 at mcgill.ca>
BugReports: https://github.com/emeryyi/gglasso/issues
License: GPL-2
URL: https://github.com/emeryyi/gglasso
NeedsCompilation: yes
Materials: README ChangeLog
CRAN checks: gglasso results

Documentation:

Reference manual: gglasso.pdf
Vignettes: Introduction to gglasso

Downloads:

Package source: gglasso_1.5.1.tar.gz
Windows binaries: r-devel: gglasso_1.5.1.zip, r-release: gglasso_1.5.1.zip, r-oldrel: gglasso_1.5.1.zip
macOS binaries: r-release (arm64): gglasso_1.5.1.tgz, r-oldrel (arm64): gglasso_1.5.1.tgz, r-release (x86_64): gglasso_1.5.1.tgz, r-oldrel (x86_64): gglasso_1.5.1.tgz
Old sources: gglasso archive

Reverse dependencies:

Reverse imports: changepoints, CompMix, ecpc, FIT, higlasso, ICBioMark, MLGL, PhylogeneticEM, PRSPGx
Reverse suggests: dfr, fdaSP, sgs, sharp, sparsegl, tidyfit

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gglasso 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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