Package: stabs 0.6-4

stabs: Stability Selection with Error Control

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.

Authors:Benjamin Hofner [aut, cre], Torsten Hothorn [aut]

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Bug tracker:https://github.com/hofnerb/stabs/issues

On CRAN:

machine-learningr-languageresamplingstability-selectionvariable-importancevariable-selection

20 exports 26 stars 4.59 score 0 dependencies 27 dependents 7 mentions 44 scripts 3.2k downloads

Last updated 4 years agofrom:51e0afc2ec. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:check_foldsglmnet.lassoglmnet.lasso_maxCoeflars.lassolars.stepwiseparametersplot.stabselprint.stabselprint.stabsel_parametersrun_stabselselectedselected.stabselstabselstabsel_parametersstabsel_parameters.defaultstabsel_parameters.stabselstabsel.data.framestabsel.matrixstabsel.stabselsubsample

Dependencies: