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 |