stabs: Stability Selection with Error Control
Version 0.6-2

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, ) and complementary pairs stability selection with improved error bounds (Shah & Samworth, 2013, ) are implemented. The package can be combined with arbitrary user specified variable selection approaches.

AuthorBenjamin Hofner [aut, cre], Torsten Hothorn [aut]
Date of publication2017-01-31 06:51:20
MaintainerBenjamin Hofner <benjamin.hofner@pei.de>
LicenseGPL-2
Version0.6-2
URL https://github.com/hofnerb/stabs
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("stabs")

Getting started

README.md
Graphical networks with stabs"
Stability selection - Using stabs"

Popular man pages

check_folds: Check if folds result from subsampling with p = 0.5.
fitfuns: Fit Functions for Stability Selection
parameters: Method to Extract Parameters
plot: Plot and Print Methods for Stability Selection
quic.graphical_model: Stability selection fit function for sparse inverse...
selected: Method to Extract Selected Variables
subsample: Draw Random Subsamples
See all...

All man pages Function index File listing

Man pages

check_folds: Check if folds result from subsampling with p = 0.5.
fitfuns: Fit Functions for Stability Selection
parameters: Method to Extract Parameters
plot: Plot and Print Methods for Stability Selection
quic.graphical_model: Stability selection fit function for sparse inverse...
run_stabsel: Run Stability Selection
selected: Method to Extract Selected Variables
stabsel: Stability Selection
stabsel_parameters: Compute Error Bounds for Stability Selection
stabsel_stabsel: Change Parameters of Stability Selection
subsample: Draw Random Subsamples

Functions

D Source code
check_folds Man page Source code
fitfun Man page
fitfuns Man page
getLamPath Man page Source code
glmnet.lasso Man page Source code
glmnet.lasso_maxCoef Man page Source code
lars.lasso Man page Source code
lars.stepwise Man page Source code
maxQ Source code
minD Source code
optimal_cutoff Source code
optimal_q Source code
parameters Man page Source code
plot Man page
plot.stabsel Man page Source code
print.stabsel Man page Source code
print.stabsel_parameters Man page Source code
quic.graphical_model Man page Source code
run_stabsel Man page Source code
selected Man page Source code
selected.stabsel Man page Source code
stabsel Man page Source code
stabsel.data.frame Man page Source code
stabsel.matrix Man page Source code
stabsel.stabsel Man page Source code
stabsel_parameters Man page Source code
stabsel_parameters.default Man page Source code
stabsel_parameters.stabsel Man page Source code
subsample Man page Source code
um_const Source code

Files

inst
inst/CITATION
inst/NEWS.Rd
inst/doc
inst/doc/stabs_graphs.html
inst/doc/Using_stabs.html
inst/doc/Using_stabs.R
inst/doc/stabs_graphs.R
inst/doc/Using_stabs.Rmd
inst/doc/stabs_graphs.Rmd
NAMESPACE
R
R/helpers.R
R/methods.R
R/stabsel.R
R/fitfuns.R
R/stabselgraphical.R
vignettes
vignettes/Using_stabs.Rmd
vignettes/stabs_graphs.Rmd
README.md
MD5
build
build/vignette.rds
build/partial.rdb
DESCRIPTION
ChangeLog
man
man/run_stabsel.Rd
man/stabsel.Rd
man/stabsel_parameters.Rd
man/stabsel_stabsel.Rd
man/quic.graphical_model.Rd
man/subsample.Rd
man/parameters.Rd
man/selected.Rd
man/fitfuns.Rd
man/plot.Rd
man/check_folds.Rd
stabs documentation built on May 19, 2017, 8:20 a.m.