News for Package 'stabs'

Changes in stabs version 0.7-1 (2026-01-30)

Miscellaneous

• 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 stabs version 0.7-0 (2026-01-27)

User-visible changes

• Allow cutoff to be less than 0.5 in case of assumption = "r-concave" (closes #35).

• Updated error messages and error handling if the required package for fitfun is missing (closes #29).

Bug-fixes

• glmnet.lasso_maxCoef now correctly extracts the vatriables with largest (absolute) coefficients (closes #32).

• 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 stabs version 0.6-4 (2021-01-28)

User-visible changes

• Removed support for graphical models via package QUIC as QUIC is no longer maintained and was archived on CRAN.

Bug-fixes

• Fixed CRAN checks regarding all.equal by adding check.environment = FALSE.

Changes in stabs version 0.6-3 (2017-07-19)

Miscellaneous

• Added reference to stability selection with gamboostLSS.

Bug-fixes

• Make vignettes conditional on suggested packages (closes #24).

• Fixed tests.

Changes in stabs version 0.6-2 (2017-01-30)

Miscellaneous

• Move packages from Enhances to Suggests.

• Make manuals work without package TH.data.

• Speed up examples by adding \donttest in two occassions.

• Use markup \doi for DOIs in manual.

Changes in stabs version 0.6-1 (2017-01-28)

Miscellaneous

• Added DOIs to ‘DESCRIPTION’ to fulfill CRAN policies.

• Updated ‘README.md’ and vignettes.

Changes in stabs version 0.6-0 (2017-01-27)

User-visible changes

• Added support for graphical models via package QUIC (closes #12, #13 and #14; Code contributed by Richard Beare).

• 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).

• Parallel computing via mclapply: Set mc.preschedule = FALSE per default (closes #1).

• 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

• Updated references: Hofner et al (2015) now available at BMC Bioinformatics. See citation("stabs") for details.

• Updated ‘DESCRIPTION’ to be more informative.

• Make fitfuns more quiet (closes #19; Code contributed by Gokcen Eraslan)

• Replaced base-learner with effect in warnings and error messages (closes #10).

• Added example on using glmnet.lasso (closes #4).

• Boosting specific changes: warn if mstop is to small.

Bug-fixes

• Disallow specification of penalty parameters via args.fitfun (closes #22).

• Fixed checks for results of fitfuns (closes #17; Code contributed by Andrey Tovchigrechko)

• Fixed citation. (closes #9).

• Fix plot labels if matrices are used (as opposed to data.frames) (closes #6).

• Fix issue when variables are dropped from active set in lars.lasso (closes #5).

• Adhere to CRAN policies regarding import of base packages (closes #3).

Changes in stabs version 0.5-1 (2015-01-12)

Bug-fixes

• Changes in ‘inst/CITATION’ to make CRAN happy: Citations can now be extracted without the need to install the package.

• Changed require to requireNamespace

Changes in stabs version 0.5-0 (2014-12-09)

User-visible changes

• Added a function stabsel.stabsel() to compute (new) parameter combinations for a fitted stabsel object

• Included selected() method (originally from mboost); selected() can now be used on stability selection results to extract selected effects

• Added functionality to extract parameters from fitted stabsel objects: use parameters() or stabsel_parameters()

• Export run_stabsel to make the actual “fit” function accessible for other packages.

• Tweaked print methods a bit

• Added output that states the significance level.

• 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 <R.Shah _at_ statslab.cam.ac.uk>)

Miscellaneous

• Package development moved from R-forge to https://github.com/hofnerb/stabs

• Added specifiedPFER to stabsel and stabsel_parameter objects (needed for better outputs)

• Added ‘inst/CITATION’

• Added reference to stability selection paper

• stabs now enhances gamboostLSS

Bug-fixes

• Made tests conditional on availability of packages

Changes in stabs version 0.1-0 (2014-10-02)

• Initial submission to CRAN

• stabs implements stability selection for a range of models, including a novel matrix interface for stabsel that can be used with generic fit functions.

• 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.