VT.forest.one: Difft by one random forest
In aVirtualTwins: Adaptation of Virtual Twins Method from Jared Foster

Description Details Fields Methods See Also

A reference class to compute twins via one random forest

VT.forest.one extends VT.forest.

OOB predictions are used to estimate E(Y|T = real treatment). Then, treatement is switched, it means that 1 becomes 0 and 0 becomes 1. We use again model to estimate E(Y|T = the other treatment). This is what computeTwin1() and computeTwin2() functions do.

model: is a caret/RandomForest/randomForest class object
interactions: logical set TRUE if model has been computed with interactions
...: field from parent class : VT.forest

computeTwin1(): Compute twin1 with OOB predictions
computeTwin2(): Compute twin2 by switching treatment and applying random forest model

VT.difft, VT.forest, VT.forest.double

aVirtualTwins documentation built on May 2, 2019, 4:04 p.m.