simulation.wrap: Simulation wrap-up (short-cut name: sim.w)
In fadedsoul/cdml: CDML

Simulation wrap-up (short-cut name: sim.w)

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simulation.wrap(kfold, data, model, ncores = ncores, method,
  g.method = "rf", gps.method = "series", trimLowerBound.t = -4,
  trimUpperBound.t = 4, detoured = FALSE)

`kfold`	number of folds for sample splitting
`data`	data
`model`	model varies from "IV", "CTE"
`ncores`	number of cores we use
`method`	estimation method we choose from double machine learning method ("CDML") and simple regression method ("SR"), Hirano & Imbens method ("HI")
`g.method`	method for regression estimation
`gps.method`	method for generalized propensity score estimation
`trimLowerBound.t`	trimming lower bound of treatment vector
`trimUpperBound.t`	trimming upper bound of treatment vector