The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Reference manual: | gglasso.pdf |
Vignettes: |
Introduction to gglasso |
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 imports: | changepoints, CompMix, ecpc, FIT, higlasso, ICBioMark, MLGL, PhylogeneticEM, PRSPGx |
Reverse suggests: | fdaSP, sgs, sharp, sparsegl |
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.
Health stats visible at Monitor.