Augmented Inverse Probability Weighting R package AIPW version 0.6.9.3 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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. Software Depends: R (>= 2.10) Imports: stats, utils, R6, SuperLearner, ggplot2, future.apply, progressr, Rsolnp Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr, tmle Yongqi Zhong <yq.zhong7@gmail.com> Comprehensive R Archive Network (CRAN) Yongqi Zhong [aut, cre] (ORCID: <https://orcid.org/0000-0002-4042-7450>), Ashley Naimi [aut] (ORCID: <https://orcid.org/0000-0002-1510-8175>), Gabriel Conzuelo [ctb], Edward Kennedy [ctb] GPL-3 2026-04-12 application/tgz https://CRAN.R-project.org/package=AIPW doi:10.32614/CRAN.package.AIPW en