Installation | Using stabs | User-specified variable selection approaches | Using boosting with stability selection | Citation
Package: stabs 0.7-1
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:
stabs_0.7-1.tar.gz
stabs_0.7-1.zip(r-4.7)stabs_0.7-1.zip(r-4.6)stabs_0.7-1.zip(r-4.5)
stabs_0.7-1.tgz(r-4.6-any)stabs_0.7-1.tgz(r-4.5-any)
stabs_0.7-1.tar.gz(r-4.7-any)stabs_0.7-1.tar.gz(r-4.6-any)
stabs_0.7-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
stabs/json (API)
| # Install 'stabs' in R: |
| install.packages('stabs', repos = c('https://hofnerb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hofnerb/stabs/issues
machine-learningr-languageresamplingstability-selectionvariable-importancevariable-selection
Last updated from:d90e7a255e. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 163 | ||
| source / vignettes | OK | 177 | ||
| linux-release-x86_64 | NOTE | 150 | ||
| macos-release-arm64 | NOTE | 105 | ||
| macos-oldrel-arm64 | NOTE | 96 | ||
| windows-devel | NOTE | 110 | ||
| windows-release | NOTE | 92 | ||
| windows-oldrel | NOTE | 109 | ||
| wasm-release | OK | 143 |
Exports:check_foldsglmnet.lassoglmnet.lasso_maxCoeflars.lassolars.stepwiseparametersplot.stabselprint.stabselprint.stabsel_parametersrun_stabselselectedselected.stabselstabselstabsel_parametersstabsel_parameters.defaultstabsel_parameters.stabselstabsel.data.framestabsel.matrixstabsel.stabselsubsample
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check if folds result from subsampling with p = 0.5 | check_folds |
| Fit Functions for Stability Selection | fitfun fitfuns glmnet.lasso glmnet.lasso_maxCoef lars.lasso lars.stepwise |
| Method to Extract Parameters | parameters stabsel_parameters.stabsel |
| Plot and Print Methods for Stability Selection | plot plot.stabsel print.stabsel |
| Run Stability Selection | run_stabsel |
| Method to Extract Selected Variables | selected selected.stabsel |
| Stability Selection | stabsel stabsel.data.frame stabsel.matrix |
| Compute Error Bounds for Stability Selection | print.stabsel_parameters stabsel_parameters stabsel_parameters.default |
| Change Parameters of Stability Selection | stabsel.stabsel |
| Draw Random Subsamples | subsample |
