CausalGAM: Estimation of Causal Effects with Generalized Additive Models
This package 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.
| Version: |
0.1-3 |
| Depends: |
R (≥ 2.9.0), gam (≥ 1.0.1) |
| Published: |
2010-02-11 |
| Author: |
Adam Glynn, Kevin Quinn |
| Maintainer: |
Kevin Quinn <kquinn at law.berkeley.edu> |
| License: |
GPL-2 |
| CRAN checks: |
CausalGAM results |
Downloads: