estimate_ite {CRE}R Documentation

Estimate the Individual Treatment Effect (ITE)

Description

Estimates the Individual Treatment Effect given a response vector, a treatment vector, a covariate matrix, and a desired algorithm.

Usage

estimate_ite(y, z, X, ite_method, ...)

Arguments

y

An observed response vector.

z

An observed treatment vector.

X

A covariate matrix.

ite_method

A method for estimating the Individual Treatment Effect. Some methods requires additional parameters. These parameters are mentioned in the indented blocks for each method and their definitions are provided at the end of this parameters list.

  • "slearner": S-Learner. - learner_y

  • "tlearner": T-Learner.

    • learner_y

  • "tpoisson": T-Poisson.

    • offset

  • "xlearner": X-Learner.

    • learner_y

  • "aipw": Augmented Inverse Probability Weighting.

    • learner_ps and learner_y

  • "bart": Bayesian Additive Regression Trees.

    • learner_ps

  • "cf": Causal Forest.

    • learner_ps

...

Additional parameters passed to different models.

Details

Additional parameters

Value

A list of ITE estimates.


[Package CRE version 0.2.7 Index]