varimp.pmforest

0th

Percentile

Variable Importance for pmforest

See varimp.cforest.

Usage
# S3 method for 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.

Aliases
  • varimp.pmforest
Documentation reproduced from package model4you, version 0.9-5, License: GPL-2 | GPL-3

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