Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty.
Version: | 3.9-1 |
Suggests: | survival, parallel, knitr |
Published: | 2017-04-27 |
Author: | Patrick Breheny [aut,cre] |
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_3.9-1.tar.gz |
Windows binaries: | r-devel: ncvreg_3.9-1.zip, r-release: ncvreg_3.9-1.zip, r-oldrel: ncvreg_3.9-1.zip |
OS X El Capitan binaries: | r-release: ncvreg_3.9-1.tgz |
OS X Mavericks binaries: | r-oldrel: ncvreg_3.9-1.tgz |
Old sources: | ncvreg archive |
Reverse depends: | biglasso, ExactPath, glmvsd, HIMA, mombf, pass |
Reverse imports: | FarmSelect, hdnom, IROmiss, mrMLM, msaenet, NHMSAR, polywog, SIS, SOIL, sparsevar |
Reverse suggests: | eclust |
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