cf_dml1: This function implements the 50:50 cross-fitting

In MCKnaus/CATEs: Conditional Average Treatment Effect with Causal Machine Learning

Description

This function implements the 50:50 cross-fitting

Usage

cf_dml1(est, y, d, x, np, xnew, index, args_tau = list())

Arguments

est	Vector of outcome values
d	Vector of treament indicators
x	Matrix of covariates (N x p matrix)
index	List indicating indices for cross-fitting (e.g. obtained by createFolds of caret pkg)
args_p	List of arguments passed to estimate propensity score model
args_y	List of arguments passed to estimate outcome model
args_y1	List of arguments passed to estimate outcome model of treated
args_y0	List of arguments passed to estimate outcome model of non-treated

Value

Returns n x 4 matrix containing the nuisance parameters #'

MCKnaus/CATEs documentation built on Sept. 11, 2021, 10:12 p.m.