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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.
Getting started
Browse package contents
Package details |
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| Author | Yongqi Zhong [aut, cre] (<https://orcid.org/0000-0002-4042-7450>), Ashley Naimi [aut] (<https://orcid.org/0000-0002-1510-8175>), Gabriel Conzuelo [ctb], Edward Kennedy [ctb] |
| Maintainer | Yongqi Zhong <yq.zhong7@gmail.com> |
| License | GPL-3 |
| Version | 0.6.9.2 |
| URL | https://github.com/yqzhong7/AIPW |
| Package repository | View on CRAN |
| Installation |
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