Package: CausalGAM
Version: 0.1-4
Date: 2017-10-16
Title: Estimation of Causal Effects with Generalized Additive Models
Author: Adam Glynn <adam.glynn@emory.edu>,
  Kevin Quinn <kmq@umich.edu>
Maintainer: Kevin Quinn <kmq@umich.edu>
Depends: R (>= 2.9.0), gam (>= 1.0.1)
Description: 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.
License: GPL-2
NeedsCompilation: no
Packaged: 2017-10-16 13:47:43 UTC; kquinn
Repository: CRAN
Date/Publication: 2017-10-19 19:56:10 UTC
Built: R 4.3.3; ; 2025-01-24 15:04:10 UTC; unix
