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