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]