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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
Browse package contents
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 |
Install the latest version of this package by entering the following in R:
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