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.
|Author||Adam Glynn <[email protected]>, Kevin Quinn <[email protected]>|
|Date of publication||2017-10-19 19:56:10 UTC|
|Maintainer||Kevin Quinn <[email protected]>|
|Package repository||View on CRAN|
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