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 (see file LICENSE)
NeedsCompilation: no
Materials: README
CRAN checks: CausalGAM results

Downloads:

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 Snow Leopard binaries: r-release: CausalGAM_0.1-3.tgz, r-oldrel: CausalGAM_0.1-3.tgz
OS X Mavericks binaries: r-release: CausalGAM_0.1-3.tgz
Old sources: CausalGAM archive