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.

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

View on CRAN

Files in this package

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

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