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aVirtualTwins (version 1.0.1)

VT.forest.one: Difft by one random forest

Description

A reference class to compute twins via one random forest

Arguments

Fields

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

Methods

computeTwin1()

Compute twin1 with OOB predictions

computeTwin2()

Compute twin2 by switching treatment and applying random forest model

Details

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.

See Also

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