Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty.
| Version: | 3.6-0 |
| Suggests: | survival, parallel, knitr |
| Published: | 2016-06-13 |
| Author: | Patrick Breheny [aut,cre], Sangin Lee [ctb] |
| Maintainer: | Patrick Breheny <patrick-breheny at uiowa.edu> |
| BugReports: | http://github.com/pbreheny/ncvreg/issues |
| License: | GPL-3 |
| URL: | http://myweb.uiowa.edu/pbreheny/publications/Breheny2011.pdf |
| NeedsCompilation: | yes |
| Citation: | ncvreg citation info |
| Materials: | README NEWS |
| In views: | MachineLearning |
| CRAN checks: | ncvreg results |
| Reference manual: | ncvreg.pdf |
| Vignettes: |
Quick start guide |
| Package source: | ncvreg_3.6-0.tar.gz |
| Windows binaries: | r-devel: ncvreg_3.6-0.zip, r-release: ncvreg_3.6-0.zip, r-oldrel: ncvreg_3.6-0.zip |
| OS X Mavericks binaries: | r-release: ncvreg_3.6-0.tgz, r-oldrel: ncvreg_3.6-0.tgz |
| Old sources: | ncvreg archive |
| Reverse depends: | biglasso, ExactPath, glmvsd, mombf, pass, SIS, SOIL |
| Reverse imports: | hdnom, NHMSAR, polywog, sparsevar |