CRAN/E | gglasso

gglasso

Group Lasso Penalized Learning Using a Unified BMD Algorithm

Installation

About

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.

github.com/emeryyi/gglasso
Bug report File report

Key Metrics

Version 1.5.1
Published 2024-03-24 35 days ago
Needs compilation? yes
License GPL-2
CRAN checks gglasso results

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Maintainer

Maintainer

Yi Yang

yi.yang6@mcgill.ca

Authors

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/)

Material

README
ChangeLog
Reference manual
Package source

Vignettes

Introduction to gglasso

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gglasso archive

Imports

methods

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Reverse Imports

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higlasso
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PhylogeneticEM
PRSPGx

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