Changes in version 0.7-1 (2026-01-31) Miscellaneous o Fixed timing issues for checks of examples on CRAN: added \donttest in two cases and make sure that code is not executed in parallel. Changes in version 0.7-0 User-visible changes o Allow cutoff to be less than 0.5 in case of assumption = "r-concave" (closes #35). o Updated error messages and error handling if the required package for fitfun is missing (closes #29). Bug-fixes o glmnet.lasso_maxCoef now correctly extracts the vatriables with largest (absolute) coefficients (closes #32). o Fixed issues from CRAN checks: changed citation style, fixed call to \code in manuals and removed LazyData from DESCRIPTION. Additionally added a link to the github issue tracker under BugReports (contributed by Roberto Villegas-Diaz; see pull request #34). Changes in version 0.6-4 (2021-01-29) User-visible changes o Removed support for graphical models via package QUIC as QUIC is no longer maintained and was archived on CRAN. Bug-fixes o Fixed CRAN checks regarding all.equal by adding check.environment = FALSE. Changes in version 0.6-3 (2017-07-19) Miscellaneous o Added reference to stability selection with gamboostLSS. Bug-fixes o Make vignettes conditional on suggested packages (closes #24). o Fixed tests. Changes in version 0.6-2 (2017-01-31) Miscellaneous o Move packages from Enhances to Suggests. o Make manuals work without package TH.data. o Speed up examples by adding \donttest in two occassions. o Use markup \doi for DOIs in manual. Changes in version 0.6-1 Miscellaneous o Added DOIs to DESCRIPTION to fulfill CRAN policies. o Updated README.md and vignettes. Changes in version 0.6-0 User-visible changes o Added support for graphical models via package QUIC (closes #12, #13 and #14; Code contributed by Richard Beare). o Better handling of errors in (single) folds of stabsel: results of folds without errors are used and a warning is issued (closes #2 and #7). o Parallel computing via mclapply: Set mc.preschedule = FALSE per default (closes #1). o Make sure that per default glmnet.lasso selects at maximum q variables. The previous anti-conservative version stays available via args.fitfun = list(type = "anticonservative") (closes #23) Miscellaneous o Updated references: Hofner et al (2015) now available at BMC Bioinformatics. See citation("stabs") for details. o Updated DESCRIPTION to be more informative. o Make fitfuns more quiet (closes #19; Code contributed by Gokcen Eraslan) o Replaced base-learner with effect in warnings and error messages (closes #10). o Added example on using glmnet.lasso (closes #4). o Boosting specific changes: warn if mstop is to small. Bug-fixes o Disallow specification of penalty parameters via args.fitfun (closes #22). o Fixed checks for results of fitfuns (closes #17; Code contributed by Andrey Tovchigrechko) o Fixed citation. (closes #9). o Fix plot labels if matrices are used (as opposed to data.frames) (closes #6). o Fix issue when variables are dropped from active set in lars.lasso (closes #5). o Adhere to CRAN policies regarding import of base packages (closes #3). Changes in version 0.5-1 (2015-01-12) Bug-fixes o Changes in inst/CITATION to make CRAN happy: Citations can now be extracted without the need to install the package. o Changed require to requireNamespace Changes in version 0.5-0 (2014-12-09) User-visible changes o Added a function stabsel.stabsel() to compute (new) parameter combinations for a fitted stabsel object o Included selected() method (originally from mboost); selected() can now be used on stability selection results to extract selected effects o Added functionality to extract parameters from fitted stabsel objects: use parameters() or stabsel_parameters() o Export run_stabsel to make the actual “fit” function accessible for other packages. o Tweaked print methods a bit o Added output that states the significance level. o Added new lasso based fit (glmnet.lasso_maxCoef) function where the q strongest predictors (according to the coefficient size) are selected (feature request from Rajen Shah ) Miscellaneous o Package development moved from R-forge to o Added specifiedPFER to stabsel and stabsel_parameter objects (needed for better outputs) o Added inst/CITATION o Added reference to stability selection paper o stabs now enhances gamboostLSS Bug-fixes o Made tests conditional on availability of packages Changes in version 0.1-0 (2014-10-02) o Initial submission to CRAN o stabs implements stability selection for a range of models, including a novel matrix interface for stabsel that can be used with generic fit functions. o The code is based on the stabsel function that was implemented in mboost until version 2.3-0. stabsel is now a generic function with a specialized method for boosting models that is implemented in mboost. The back-end is now completely implemented in package stabs.