estimate_ite_bart {CRE} | R Documentation |
Estimate the Individual Treatment Effect (ITE) using Bayesian Additive Regression Trees (BART)
Description
Estimates the Individual Treatment Effect using Bayesian Additive Regression Trees given a response vector, a treatment vector, and a features matrix.
Usage
estimate_ite_bart(y, z, X, learner_ps)
Arguments
y |
An observed response vector. |
z |
A treatment vector. |
X |
A features matrix. |
learner_ps |
Method for the estimation of the propensity score. |
Value
A list of ITE estimates.
Note
The number of samples and the number of burn are set by default equal to 500.
[Package CRE version 0.2.7 Index]