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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),TH.data,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 pei.de>
License:GPL-2
URL:https://github.com/hofnerb/stabs
NeedsCompilation:no
Citation:stabs citation info
Materials:README,NEWS,ChangeLog
In views:MachineLearning
CRAN checks:stabs results

Documentation:

Reference manual:stabs.html ,stabs.pdf
Vignettes:Stability selection - Using stabs (source,R code)

Downloads:

Package source: stabs_0.6-4.tar.gz
Windows binaries: r-devel:stabs_0.6-4.zip, r-release:stabs_0.6-4.zip, r-oldrel:stabs_0.6-4.zip
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,mermboost,MetNet,monaLisa
Reverse suggests:flevr,knockoff

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=stabsto link to this page.


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