stabilty.selection: Compute Lustgarten’s stability measure
In pavhrablis/benchmarkFS: What the Package Does (One Line, Title Case)

Description Usage Arguments Details Value Examples

Compute Lustgarten’s stability measure

1	stabilty.selection(list.selected.var, list.index.cross, nvar)

`list.selected.var`	A `list` with selected variables in cross-validation
`list.index.cross`	A `list` with indexes obtained in cross-validation
`nvar`	the number of first variables for which to calculate

Compute Lustgarten’s stability measure for variables selected in cross-validation

value stability of selection (Lustgarten’s stability measure)

class <- data$class
data$class <- NULL

list.index.cross <- cross.validation(x = data, y = class, method= 'cv.kfold', k = 3, niter = 10)

list.selected.var <- feature.selection(x = data,
                             y = class,
                             method = 'fs.utest',
                             list.index.cross = indexes,
                             params = list(adjust = 'holm'))
asm <- stabilty.selection(list.selected.var, list.index.cross, 5)