CausalGAM: Estimation of Causal Effects with Generalized Additive Models
Version 0.1-4

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. See: Glynn, Adam N. and Kevin M. Quinn. 2010. "An Introduction to the Augmented Inverse Propensity Weighted Estimator." Political Analysis. 18: 36-56.

Getting started

Package details

AuthorAdam Glynn <[email protected]>, Kevin Quinn <[email protected]>
Date of publication2017-10-19 19:56:10 UTC
MaintainerKevin Quinn <[email protected]>
LicenseGPL-2
Version0.1-4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CausalGAM")

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CausalGAM documentation built on Nov. 17, 2017, 6:42 a.m.