Removed support for graphical models via package QUIC as QUIC is no longer maintained and was archived on CRAN.
Fixed CRAN checks regarding all.equal by adding check.environment = FALSE.
Added reference to stability selection with gamboostLSS.
Make vignettes conditional on suggested packages (closes #24).
Fixed tests.
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.
Added DOIs to ‘DESCRIPTION’ to fulfill CRAN policies.
Updated ‘README.md’ and vignettes.
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)
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.
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 ‘inst/CITATION’ to make CRAN happy: Citations can now be extracted without the need to install the package.
Changed require to requireNamespace
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>)
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
Made tests conditional on availability of packages
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.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4