CausalGAM (0.1-4)

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Estimation of Causal Effects with Generalized Additive Models.

http://cran.r-project.org/web/packages/CausalGAM

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.

Maintainer: Kevin Quinn
Author(s): Adam Glynn <adam.glynn@emory.edu>, Kevin Quinn <kmq@umich.edu>

License: GPL-2

Uses: gam

Released about 2 years ago.


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