Stability Selection with Error Control R package stabs version 0.7-1 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) 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. Software 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 Benjamin Hofner <benjamin.hofner@pei.de> Comprehensive R Archive Network (CRAN) Benjamin Hofner [aut, cre] (ORCID: <https://orcid.org/0000-0003-2810-3186>), Torsten Hothorn [aut] (ORCID: <https://orcid.org/0000-0001-8301-0471>) GPL-2 2026-01-31 application/tgz https://CRAN.R-project.org/package=stabs doi:10.32614/CRAN.package.stabs