AIPW
Augmented Inverse Probability Weighting
The 'AIPW' package implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology. <doi:10.1093/aje/kwab207>". Visit: <https://yqzhong7.github.io/AIPW/> for more information.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6.9.2 |
2026-04-09 windows/windows R-4.5 | AIPW_0.6.9.2.zip |
480.7 KiB |