Efficient algorithms for fitting regularization paths for lasso or elastic-net penalized regression models with Huber loss, quantile loss or squared loss.
| Version: | 1.4 |
| Imports: | parallel |
| Published: | 2017-02-16 |
| Author: | Congrui Yi |
| Maintainer: | Congrui Yi <congrui-yi at uiowa.edu> |
| License: | GPL-3 |
| URL: | http://arxiv.org/abs/1509.02957 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | hqreg results |
| Reference manual: | hqreg.pdf |
| Package source: | hqreg_1.4.tar.gz |
| Windows binaries: | r-devel: hqreg_1.4.zip, r-release: hqreg_1.4.zip, r-oldrel: hqreg_1.4.zip |
| macOS binaries: | r-release (arm64): hqreg_1.4.tgz, r-oldrel (arm64): hqreg_1.4.tgz, r-release (x86_64): hqreg_1.4.tgz, r-oldrel (x86_64): hqreg_1.4.tgz |
| Old sources: | hqreg archive |
| Reverse imports: | rqPen |
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