varImpRanger: varImpRanger

In varImp: RF Variable Importance for Arbitrary Measures

Description

Computes the variable importance for ranger models and for arbitrary measures from the 'measures' package.

Usage

varImpRanger(object, data, target, nperm = 1, measure = "multiclass.Brier")

Arguments

object	An object as returned by cforest. ranger with option keep.inbag = TRUE.
data	Original data that was used for training the random forest.
target	Target variable as used in the trained model.
nperm	The number of permutations performed.
measure	The name of the measure of the 'measures' package that should be used for the variable importance calculation.

Value

Vector with computed permutation importance for each variable.

Examples

## Not run: 
library(ranger)
iris.rg = ranger(Species ~ ., data = iris, keep.inbag = TRUE, probability = TRUE)
vimp.ranger = varImpRanger(object = iris.rg, data = iris, target = "Species")
vimp.ranger

## End(Not run)

varImp documentation built on July 1, 2020, 7:03 p.m.