Resampling procedures to assess the stability of selected variables with additional finite sample error control for high-dimensional variable selection procedures such as Lasso or boosting
Version: | 0.5-1 |
Depends: | R (≥ 2.14.0), methods, stats, parallel |
Suggests: | TH.data, hdi |
Enhances: | glmnet, lars, mboost (> 2.3-0), gamboostLSS (≥ 1.2-0) |
Published: | 2015-01-12 |
Author: | Benjamin Hofner [aut, cre], Torsten Hothorn [aut] |
Maintainer: | Benjamin Hofner <benjamin.hofner at fau.de> |
License: | GPL-2 |
URL: | https://github.com/hofnerb/stabs |
NeedsCompilation: | no |
Citation: | stabs citation info |
Materials: | NEWS ChangeLog |
In views: | MachineLearning |
CRAN checks: | stabs results |
Reference manual: | stabs.pdf |
Package source: | stabs_0.5-1.tar.gz |
Windows binaries: | r-devel: stabs_0.5-1.zip, r-release: stabs_0.5-1.zip, r-oldrel: stabs_0.5-1.zip |
OS X Snow Leopard binaries: | r-release: stabs_0.5-1.tgz, r-oldrel: stabs_0.5-1.tgz |
OS X Mavericks binaries: | r-release: stabs_0.5-1.tgz |
Old sources: | stabs archive |
Reverse depends: | mboost |
Reverse imports: | DIFboost |