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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=stabs to link to this page.
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