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 |
| Imports: | methods |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2020-03-18 |
| 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.tar.gz |
| Windows binaries: | r-devel: gglasso_1.5.zip, r-release: gglasso_1.5.zip, r-oldrel: gglasso_1.5.zip |
| macOS binaries: | r-release (arm64): gglasso_1.5.tgz, r-oldrel (arm64): gglasso_1.5.tgz, r-release (x86_64): gglasso_1.5.tgz, r-oldrel (x86_64): gglasso_1.5.tgz |
| Old sources: | gglasso archive |
| Reverse imports: | changepoints, ecpc, FIT, higlasso, ICBioMark, MLGL, PhylogeneticEM, PRSPGx |
| Reverse suggests: | sharp |
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