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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1-4 |
2026-04-09 windows/windows R-4.5 | CausalGAM_0.1-4.zip |
50.9 KiB |
Dependencies (latest)
Depends
- gam (>= 1.0.1)