# varImp v0.1

0

0th

Percentile

## RF Variable Importance for Arbitrary Measures

Computes the random forest variable importance (VIMP) for the conditional inference random forest (cforest) of the 'party' package. Includes a function (varImp) that computes the VIMP for arbitrary measures from the 'measures' package. For calculating the VIMP regarding the measures accuracy and AUC two extra functions exist (varImpACC and varImpAUC).

# varImp

Random forest variable importance for arbitrary measures of the measures package, which contains the biggest collection of measures for regression and classification in R.

## Installation

The development version

devtools::install_github("mlr-org/measures")
devtools::install_github("PhilippPro/varImp")
iris.cf <- cforest(Species ~ ., data = iris, control = cforest_unbiased(mtry = 2, ntree = 50))
varImp(object = iris.cf, measure = "multiclass.Brier")
varImpACC(object = iris.cf)
varImpAUC(object = iris.cf)