Package: gglasso 1.4

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>.

Authors:Yi Yang <[email protected]>, Hui Zou <[email protected]>

gglasso_1.4.tar.gz
gglasso_1.4.zip(r-4.7)gglasso_1.4.zip(r-4.6)gglasso_1.4.zip(r-4.5)
gglasso_1.4.tgz(r-4.6-x86_64)gglasso_1.4.tgz(r-4.6-arm64)gglasso_1.4.tgz(r-4.5-x86_64)gglasso_1.4.tgz(r-4.5-arm64)
gglasso_1.4.tar.gz(r-4.7-arm64)gglasso_1.4.tar.gz(r-4.7-x86_64)gglasso_1.4.tar.gz(r-4.6-arm64)gglasso_1.4.tar.gz(r-4.6-x86_64)
gglasso_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gglasso/json (API)

# Install 'gglasso' in R:
install.packages('gglasso', repos = c('https://archer-yang-lab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/emeryyi/gglasso/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • bardet - Simplified gene expression data from Scheetz et al.
  • colon - Simplified gene expression data from Alon et al.

On CRAN:

Conda:

fortran

7.89 score 10 stars 5 packages 311 scripts 1.1k downloads 3 mentions 6 exports 0 dependencies

Last updated from:7d98ba6ffb. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING166
linux-devel-x86_64WARNING155
source / vignettesOK157
linux-release-arm64WARNING131
linux-release-x86_64WARNING130
macos-release-arm64WARNING91
macos-release-x86_64WARNING242
macos-oldrel-arm64WARNING95
macos-oldrel-x86_64WARNING194
windows-develWARNING108
windows-releaseWARNING109
windows-oldrelWARNING102
wasm-releaseOK103

Exports:cv.gglassocv.hsvmcv.logitcv.lscv.sqsvmgglasso

Dependencies:

Introduction to gglasso

Yi Yang

Rendered fromIntroduction_to_gglasso_package.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2020-02-17
Started: 2018-04-19