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
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
See Also
VT.difft
, VT.forest
, VT.forest.double
[Package aVirtualTwins version 1.0.1 Index]