R: News for Package 'stabs' (original) (raw)

Changes in stabs version 0.6-4 (2021-01-28)

User-visible changes

• Removed support for graphical models via package QUICas QUIC is no longer maintained and was archived on CRAN.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 #2and #7).
• Parallel computing via mclapply: Setmc.preschedule = FALSE per default (closes#1).
• Make sure that per default glmnet.lasso selects at maximumq 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 frommboost); selected() can now be used on stability selection results to extract selected effects
• Added functionality to extract parameters from fittedstabsel 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 andstabsel_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 stabselthat 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.