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.
| Version: | 0.6.9.2 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, utils,R6,SuperLearner,ggplot2,future.apply,progressr,Rsolnp |
| Suggests: | testthat (≥ 2.1.0),knitr,rmarkdown,covr,tmle |
| Published: | 2025-04-05 |
| DOI: | 10.32614/CRAN.package.AIPW |
| Author: | Yongqi Zhong [aut, cre], Ashley Naimi [aut], Gabriel Conzuelo [ctb], Edward Kennedy [ctb] |
| Maintainer: | Yongqi Zhong <yq.zhong7 at gmail.com> |
| BugReports: | https://github.com/yqzhong7/AIPW/issues |
| License: | GPL-3 |
| URL: | https://github.com/yqzhong7/AIPW |
| NeedsCompilation: | no |
| Language: | es |
| Citation: | AIPW citation info |
| Materials: | README,NEWS |
| In views: | CausalInference |
| CRAN checks: | AIPW results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=AIPWto link to this page.