Package: AIPW Title: Augmented Inverse Probability Weighting Version: 0.6.9.3 Authors@R: c(person(given = "Yongqi", family = "Zhong", role = c("aut", "cre"), email = "yq.zhong7@gmail.com", comment = c(ORCID = "0000-0002-4042-7450")), person(given = "Ashley", family = "Naimi", role = c("aut"), email = "ashley.naimi@emory.edu", comment = c(ORCID = "0000-0002-1510-8175")), person(given = "Gabriel", family = "Conzuelo", role = c("ctb"), email = "gabriel.conzuelo@pitt.edu"), person(given = "Edward", family = "Kennedy", role = c("ctb"), email = "edward@stat.cmu.edu")) Maintainer: Yongqi Zhong Description: 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. ". Visit: for more information. License: GPL-3 Encoding: UTF-8 Language: en LazyData: true Roxygen: list(markdown = TRUE, r6 = FALSE) Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr, tmle RoxygenNote: 7.2.2 Imports: stats, utils, R6, SuperLearner, ggplot2, future.apply, progressr, Rsolnp URL: https://github.com/yqzhong7/AIPW BugReports: https://github.com/yqzhong7/AIPW/issues VignetteBuilder: knitr Depends: R (>= 2.10) Repository: https://yqzhong7.r-universe.dev Date/Publication: 2026-04-11 17:40:01 UTC RemoteUrl: https://github.com/yqzhong7/aipw RemoteRef: HEAD RemoteSha: 23a85c46eaad337a2a60c650fdd7542fcb042167 NeedsCompilation: no Packaged: 2026-06-10 07:05:58 UTC; root Author: Yongqi Zhong [aut, cre] (ORCID: ), Ashley Naimi [aut] (ORCID: ), Gabriel Conzuelo [ctb], Edward Kennedy [ctb]