varimp.pmforest {model4you}

Variable Importance for pmforest

Description

See varimp.cforest.

Usage

## S3 method for class 'pmforest'
varimp(
  object,
  nperm = 1L,
  OOB = TRUE,
  risk = function(x, ...) -objfun(x, sum = TRUE, ...),
  conditional = FALSE,
  threshold = 0.2,
  ...
)

Arguments

object

DESCRIPTION.

nperm

the number of permutations performed.

OOB

a logical determining whether the importance is computed from the out-of-bag sample or the learning sample (not suggested).

risk

the risk to be evaluated. By default the objective function (e.g. log-Likelihood) is used.

conditional

a logical determining whether unconditional or conditional computation of the importance is performed.

threshold

the value of the test statistic or 1 - p-value of the association between the variable of interest and a covariate that must be exceeded inorder to include the covariate in the conditioning scheme for the variable of interest (only relevant if conditional = TRUE).

...

passed on to objfun.

Value

A vector of 'mean decrease in accuracy' importance scores.