rsq.causalTree: Plots the Approximate R-Square for the Different Splits

Description Usage Arguments Side Effects Note Examples

Description

Produces 2 plots. The first plots the r-square (apparent and apparent - from cross-validation) versus the number of splits. The second plots the Relative Error(cross-validation) +/- 1-SE from cross-validation versus the number of splits.

Usage

1

Arguments

x

fitted model object of class "causalTree". This is assumed to be the result of some function that produces an object with the same named components as that returned by the causalTree function.

Side Effects

Two plots are produced.

Note

The labels are only appropriate for the "anova" method.

Examples

1
2
z.auto <- causalTree(Mileage ~ Weight, car.test.frame)
rsq.causalTree(z.auto)

swager/causalForest documentation built on May 30, 2019, 9:32 p.m.