importance: Extract variable importance measure

In fpechon/rfCountData: Random Forests for Count Data

Description

Extract variable importance measure

Usage

importance(x)

Arguments

x,	an object of class rfCountData.

Details

The measure is computed from permuting OOB data: For each tree, the prediction error on the out-of-bag portion of the data is recorded (mean deviance). Then the same is done after permuting each predictor variable. The difference between the two are then averaged over all trees. Note that the mean deviances are compared (and not the deviances themselves).

Value

A vector of importance measure, one item for each predictor variable.

See Also

rfPoisson, varImpPlot.

fpechon/rfCountData documentation built on Aug. 12, 2019, 11:16 a.m.