CausalGAM: Estimation of Causal Effects with Generalized Additive Models

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.

Getting started

Package details

AuthorAdam Glynn <>, Kevin Quinn <>
MaintainerKevin Quinn <>
Package repositoryView on CRAN
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CausalGAM documentation built on May 2, 2019, 8:17 a.m.