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.
- Version0.1-4
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release10/19/2017
Documentation
Team
Kevin Quinn
Adam Glynn
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- Depends1 package