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.

Install the latest version of this package by entering the following in R:
install.packages("CausalGAM")
AuthorAdam Glynn <aglynn@iq.harvard.edu>, Kevin Quinn <kquinn@law.berkeley.edu>
Date of publication2010-02-11 08:44:51
MaintainerKevin Quinn <kquinn@law.berkeley.edu>
LicenseGPL-2
Version0.1-3

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Files

COPYING
DESCRIPTION
HISTORY
LICENSE
man
man/balance.IPW.Rd man/estimate.ATE.Rd
NAMESPACE
R
R/balanceIPW.R R/CausalGAM.R R/zzz.R
README

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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