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]

stabs_0.6-4.tar.gz
stabs_0.6-4.zip(r-4.5)stabs_0.6-4.zip(r-4.4)stabs_0.6-4.zip(r-4.3)
stabs_0.6-4.tgz(r-4.4-any)stabs_0.6-4.tgz(r-4.3-any)
stabs_0.6-4.tar.gz(r-4.5-noble)stabs_0.6-4.tar.gz(r-4.4-noble)
stabs_0.6-4.tgz(r-4.4-emscripten)stabs_0.6-4.tgz(r-4.3-emscripten)
stabs.pdf |stabs.html
stabs/json (API)
NEWS

# Install 'stabs' in R:
install.packages('stabs', repos = c('https://hofnerb.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

On CRAN:

machine-learningr-languageresamplingstability-selectionvariable-importancevariable-selection

9.45 score 26 stars 30 packages 45 scripts 3.8k downloads 7 mentions 20 exports 0 dependencies

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

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winNOTENov 13 2024
R-4.5-linuxNOTENov 13 2024
R-4.4-winNOTENov 13 2024
R-4.4-macNOTENov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

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

Dependencies:

Stability selection - Using stabs

Rendered fromUsing_stabs.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2017-07-18
Started: 2017-01-27

Readme and manuals

Help Manual

Help pageTopics
Check if folds result from subsampling with p = 0.5.check_folds
Fit Functions for Stability Selectionfitfun fitfuns glmnet.lasso glmnet.lasso_maxCoef lars.lasso lars.stepwise
Method to Extract Parametersparameters stabsel_parameters.stabsel
Plot and Print Methods for Stability Selectionplot plot.stabsel print.stabsel
Run Stability Selectionrun_stabsel
Method to Extract Selected Variablesselected selected.stabsel
Stability Selectionstabsel stabsel.data.frame stabsel.matrix
Compute Error Bounds for Stability Selectionprint.stabsel_parameters stabsel_parameters stabsel_parameters.default
Change Parameters of Stability Selectionstabsel.stabsel
Draw Random Subsamplessubsample