simulation: Simulation Body Part
In fadedsoul/cdml: CDML

Simulation Body Part

simulation(kfold, data = data, trimLowerBound.pi = 1e-05,
  trimLowerBound.pibar = 1e-05, trimUpperBound.pi = 10,
  trimUpperBound.pibar = 10, method = "CDML", g.method = "rf",
  gps.method = "series", trimLowerBound.t = -10, trimUpperBound.t = 10,
  model, variation = "whole", verbose = TRUE, detoured = FALSE)

`kfold`	number of folds for sample splitting
`data`	data
`trimLowerBound.pi`	trimming lower bound of pi estimation
`trimLowerBound.pibar`	trimming lower bound of pibar estimation
`trimUpperBound.pi`	trimming upper bound of pi estimation
`trimUpperBound.pibar`	trimming upper bound of pibar estimation
`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
`model`	model varies from "IV", "CTE"
`variation`	choose from "whole","train.data". Estimate the probability measure by empirical measure of covariates. "whole" uses every data sample, "train.data" only trainning data for estimating empirical measure. As default, we select "whole"
`verbose`	print in console step by step
`detoured`	if FALSE method will be done normally; otherwise a special simulation will be examined, where CDML is chosen method, CTE is chosen model, gps.method "series" is not allowed.