CausalGAM (version 0.1-4)
Estimation of Causal Effects with Generalized Additive Models
Description
Implements various estimators for average
treatment effects - an inverse probability weighted (IPW) estimator,
an augmented inverse probability weighted (AIPW) estimator, and a standard
regression estimator - that make use of generalized additive models for
the treatment assignment model and/or outcome model. See: Glynn, Adam N.
and Kevin M. Quinn. 2010. "An Introduction to the Augmented Inverse
Propensity Weighted Estimator." Political Analysis. 18: 36-56.