vt.forest: Create forest to compute difft
In prise6/aVirtualTwins: Adaptation of Virtual Twins Method from Jared Foster

Description Usage Arguments Value Examples

vt.forest is a wrapper of VT.forest.one, VT.forest.double and VT.forest.fold. With parameter forest.type, any of these class can be used with its own parameter.

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vt.forest(forest.type = "one", vt.data, interactions = T,
  method = "absolute", model = NULL, model_trt1 = NULL,
  model_trt0 = NULL, ratio = 1, fold = 10, ...)

`forest.type`	must be a character. "one" to use VT.forest.one class. "double" to use VT.forest.double. "fold" to use VT.forest.fold.
`vt.data`	`VT.object`. Can be return of `vt.data()` function
`interactions`	logical. If running VirtualTwins with treatment's interactions, set to TRUE (default value)
`method`	character c("absolute", "relative", "logit"). See `VT.difft`.
`model`	allows to give a model you build outside this function. Can be randomForest, train or cforest. Is only used with forest.type = "one". If NULL, a randomForest model is grown inside the function. NULL is default.
`model_trt1`	see model_trt0 explanation and `VT.forest.double` details.
`model_trt0`	works the same as model parameter. Is only used with forest.type = "double". If NULL, a randomForest model is grown inside the function. NULL is default. See `VT.forest.double` for details.
`ratio`	numeric value that allow sampsize to be a bit controlled. Default to 1. See `VT.forest.fold`.
`fold`	number of fold you want to construct forest with k-fold method. Is only used with forest.type = "fold". Default to 5. See `VT.forest.fold`
`...`	randomForest() function parameters. Can be used for any forest.type.

VT.difft

data(sepsis)
vt.o <- vt.data(sepsis, "survival", "THERAPY", T)
# inside model :
vt.f <- vt.forest("one", vt.o)
# ...
# your model :
# library(randomForest)
# rf <- randomForest(y = vt.o$getY(),
#                    x = vt.o$getX(int = T),
#                    mtry = 3,
#                    nodesize = 15)
# vt.f <- vt.forest("one", vt.o, model = rf)
# ...
# Can also use ... parameters
vt.f <- vt.forest("one", vt.o, mtry = 3, nodesize = 15)
# ...