stabs: Stability Selection with Error Control

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. Both, standard stability selection (Meinshausen & Buhlmann, 2010, <doi:10.1111/j.1467-9868.2010.00740.x>) and complementary pairs stability selection with improved error bounds (Shah & Samworth, 2013, <doi:10.1111/j.1467-9868.2011.01034.x>) are implemented. The package can be combined with arbitrary user specified variable selection approaches.

Version: 0.6-4
Depends: R (≥ 2.14.0), methods, stats, parallel
Imports: graphics, grDevices, utils
Suggests: glmnet, lars, mboost (> 2.3-0), gamboostLSS (≥ 1.2-0),, hdi, testthat, knitr, rmarkdown
Published: 2021-01-29
DOI: 10.32614/CRAN.package.stabs
Author: Benjamin Hofner [aut, cre], Torsten Hothorn [aut]
Maintainer: Benjamin Hofner <benjamin.hofner at>
License: GPL-2
NeedsCompilation: no
Citation: stabs citation info
Materials: README NEWS ChangeLog
In views: MachineLearning
CRAN checks: stabs results


Reference manual: stabs.pdf
Vignettes: Stability selection - Using stabs


Package source: stabs_0.6-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): stabs_0.6-4.tgz, r-oldrel (arm64): stabs_0.6-4.tgz, r-release (x86_64): stabs_0.6-4.tgz, r-oldrel (x86_64): stabs_0.6-4.tgz
Old sources: stabs archive

Reverse dependencies:

Reverse depends: boostrq, gamboostLSS, mboost
Reverse imports: CRE, DIFboost, FDboost, MetNet, monaLisa
Reverse suggests: flevr, knockoff


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