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 (see file LICENSE) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | CausalGAM results |
| Reference manual: | CausalGAM.pdf |
| Package source: | CausalGAM_0.1-3.tar.gz |
| Windows binaries: | r-devel: CausalGAM_0.1-3.zip, r-release: CausalGAM_0.1-3.zip, r-oldrel: CausalGAM_0.1-3.zip |
| OS X Mavericks binaries: | r-release: CausalGAM_0.1-3.tgz, r-oldrel: CausalGAM_0.1-3.tgz |
| Old sources: | CausalGAM archive |
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