This package implements a unified algorithm, blockwise-majorization-decent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM.
| Version: | 1.3 |
| Published: | 2014-08-17 |
| Author: | Yi Yang, Hui Zou |
| Maintainer: | Yi Yang <yiyang at umn.edu> |
| License: | GPL-2 |
| URL: | http://code.google.com/p/gglasso/ |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | gglasso results |
| Reference manual: | gglasso.pdf |
| Package source: | gglasso_1.3.tar.gz |
| Windows binaries: | r-devel: gglasso_1.3.zip, r-release: gglasso_1.3.zip, r-oldrel: gglasso_1.3.zip |
| OS X Mavericks binaries: | r-release: gglasso_1.3.tgz, r-oldrel: gglasso_1.3.tgz |
| Old sources: | gglasso archive |
| Reverse depends: | scvxclustr |
| Reverse imports: | FIT |
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