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:
CausalGAM_0.1-4.tar.gz
CausalGAM_0.1-4.zip(r-4.5)CausalGAM_0.1-4.zip(r-4.4)CausalGAM_0.1-4.zip(r-4.3)
CausalGAM_0.1-4.tgz(r-4.4-any)CausalGAM_0.1-4.tgz(r-4.3-any)
CausalGAM_0.1-4.tar.gz(r-4.5-noble)CausalGAM_0.1-4.tar.gz(r-4.4-noble)
CausalGAM_0.1-4.tgz(r-4.4-emscripten)CausalGAM_0.1-4.tgz(r-4.3-emscripten)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:2243d0866d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-win | OK | Nov 02 2024 |
| R-4.5-linux | OK | Nov 02 2024 |
| R-4.4-win | OK | Nov 02 2024 |
| R-4.4-mac | OK | Nov 02 2024 |
| R-4.3-win | OK | Nov 02 2024 |
| R-4.3-mac | OK | Nov 02 2024 |
Exports:balance.IPWestimate.ATE
