Description Usage Arguments Value Author(s) References Examples
Function to perform stability selection
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x 
Design matrix (without intercept). 
y 
Response vector. 
EV 
Bound for expected number of false positives. 
threshold 
Threshold for selection frequency. Must be in (0.5, 1). 
B 
Number of subsample iterations. 
fraction 
Fraction of data used at each of the B subsamples. 
model.selector 
Function to perform model selection. Default is

args.model.selector 
Named list of further arguments for
function 
parallel 
Should parallelization be used? (logical) 
ncores 
Number of cores used for parallelization. 
verbose 
Should information be printed out while computing (logical). 
selected 
Vector of selected predictors. 
freq 
Vector of selection frequencies. 
q 
Size of fitted models in order to control error rate at desired level. 
Lukas Meier
Meinshausen, N. and B<c3><bc>hlmann, P. (2010) Stability selection (with discussion). Journal of the Royal Statistical Society: Series B 72, 417–473.
B<c3><bc>hlmann, P., Kalisch, M. and Meier, L. (2014) Highdimensional statistics with a view towards applications in biology. Annual Review of Statistics and its Applications 1, 255–278
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