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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.
Package details |
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Author | Adam Glynn <adam.glynn@emory.edu>, Kevin Quinn <kmq@umich.edu> |
Maintainer | Kevin Quinn <kmq@umich.edu> |
License | GPL-2 |
Version | 0.1-4 |
Package repository | View on CRAN |
Installation |
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