| VT.forest.one {aVirtualTwins} | R Documentation |
Difft by one random forest
Description
A reference class to compute twins via one random forest
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.
Fields
modelis a caret/RandomForest/randomForest class object
interactionslogical 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
See Also
VT.difft, VT.forest, VT.forest.double
[Package aVirtualTwins version 1.0.1 Index]