prune.rpart: Cost-complexity Pruning of an Rpart Object

In henckr/distRforest: Distribution-based Random Forest

Description

Determines a nested sequence of subtrees of the supplied rpart object by recursively snipping off the least important splits, based on the complexity parameter (cp).

Usage

prune(tree, ...)

## S3 method for class 'rpart'
prune(tree, cp, ...)

Arguments

tree	fitted model object of class "rpart". This is assumed to be the result of some function that produces an object with the same named components as that returned by the rpart function.
cp	Complexity parameter to which the rpart object will be trimmed.
...	further arguments passed to or from other methods.

Value

A new rpart object that is trimmed to the value cp.

See Also

rpart

Examples

z.auto <- rpart(Mileage ~ Weight, car.test.frame)
zp <- prune(z.auto, cp = 0.1)
plot(zp) #plot smaller rpart object

henckr/distRforest documentation built on April 30, 2020, 8:10 p.m.