Package: AIPW
Title: Augmented Inverse Probability Weighting
Version: 0.6.9
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 <yq.zhong7@gmail.com>
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. doi: 10.1093/aje/kwab207". Visit: <https://yqzhong7.github.io/AIPW/> for more information.
License: GPL-3
Encoding: UTF-8
Language: es
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)
