stability.selection.top.var: Compute Lustgarten's stability measure ASM (N) dependence for...

In pavhrablis/benchmarkFS: What the Package Does (One Line, Title Case)

Description

Compute Lustgarten's stability measure ASM (N) dependence for top-N variables N = 5,10,15,20,30,40,50,75,100

Usage

stability.selection.top.var(list.selected.var, list.index.cross)

Arguments

list.selected.var	A list with selected variables in cross-validation
list.index.cross	A list with indexes obtained in cross-validation

Details

Compute Lustgarten's stability measure ASM (N) dependence for top-N variables N = 5,10,15,20,30,40,50,75,100 for variables selected in cross-validation

Value

A data.frame with the result Lustgarten's stability measure ASM (N) dependence for top-N variables N = 5,10,15,20,30,40,50,75,100

Examples

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'))
result.stability <- stabilty.selection.top.var(list.selected.var, list.index.cross)

pavhrablis/benchmarkFS documentation built on Feb. 5, 2021, 12:47 a.m.