estimate_ite_tpoisson: Estimate the Individual Treatment Effect (ITE) using...

In CRE: Interpretable Discovery and Inference of Heterogeneous Treatment Effects

Estimate the Individual Treatment Effect (ITE) using T-Poisson regression

Description

Estimates the Individual Treatment Effect using Poisson regression given a response vector, a treatment vector, and a features matrix.

Usage

estimate_ite_tpoisson(y, z, X, offset)

Arguments

y	An observed response vector.
z	A treatment vector.
X	A features matrix.
offset	A name of the covariate to use as offset (i.e. “x1”) to model the corresponding outcome rate. NULL to model directly the outcome counts without offset.

Value

A vector of ITE estimates.

CRE documentation built on Oct. 19, 2024, 5:07 p.m.