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CausalGAM  

Estimation of Causal Effects with Generalized Additive Models
View on CRAN: Click here


Download and install CausalGAM package within the R console
Install from CRAN:
install.packages("CausalGAM")

Install from Github:
library("remotes")
install_github("cran/CausalGAM")

Install by package version:
library("remotes")
install_version("CausalGAM", "0.1-4")



Attach the package and use:
library("CausalGAM")
Maintained by
Kevin Quinn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-11-08
Latest Update: 2017-10-19
Description:
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.
How to cite:
Kevin Quinn (2009). CausalGAM: Estimation of Causal Effects with Generalized Additive Models. R package version 0.1-4, https://cran.r-project.org/web/packages/CausalGAM. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-1 (2009-11-08 11:24), 0.1-2 (2009-11-10 11:15), 0.1-3 (2010-02-11 09:44)
Other packages that cited CausalGAM R package
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Other R packages that CausalGAM depends, imports, suggests or enhances
Complete documentation for CausalGAM
Functions, R codes and Examples using the CausalGAM R package
Some associated functions: balance.IPW . estimate.ATE . 
Some associated R codes: CausalGAM.R . balanceIPW.R . zzz.R .  Full CausalGAM package functions and examples
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