estimate_ite_aipw {CRE}R Documentation

Estimate the Individual Treatment Effect (ITE) using Augmented Inverse Probability Weighting (AIPW)

Description

Estimates the Individual Treatment Effect using Augmented Inverse Probability Weighting given a response vector, a treatment vector, a features matrix, an estimation model for the propensity score and estimation model for the outcome.

Usage

estimate_ite_aipw(y, z, X, learner_ps = "SL.xgboost", learner_y = "SL.xgboost")

Arguments

y

An observed response vector.

z

A treatment vector.

X

A features matrix.

learner_ps

A estimation model for the propensity score.

learner_y

A estimation model for the outcome.

Value

A list of ITE estimates.


[Package CRE version 0.2.7 Index]