Package: CausalGAM 0.1-4

Kevin Quinn

CausalGAM: Estimation of Causal Effects with Generalized Additive Models

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.

Authors:Adam Glynn <[email protected]>, Kevin Quinn <[email protected]>

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CausalGAM.pdf |CausalGAM.html
CausalGAM/json (API)

# Install 'CausalGAM' in R:
install.packages('CausalGAM', repos = c('https://quinn-kevin.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 4 dependencies 22 scripts 240 downloads

Last updated 7 years agofrom:2243d0866d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-winOKSep 03 2024
R-4.5-linuxOKSep 03 2024
R-4.4-winOKSep 03 2024
R-4.4-macOKSep 03 2024
R-4.3-winOKSep 03 2024
R-4.3-macOKSep 03 2024

Exports:balance.IPWestimate.ATE

Dependencies:codetoolsforeachgamiterators