Augmented Inverse Probability Weighting

The 'AIPW' pacakge 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, In Press). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology". Visit: <> for more information.


Reference manual

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install.packages("AIPW") by Yongqi Zhong, 7 months ago

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Browse source code at

Authors: Yongqi Zhong [aut, cre] , Ashley Naimi [aut] , Gabriel Conzuelo [ctb] , Edward Kennedy [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports stats, utils, R6, SuperLearner, ggplot2, future.apply, progressr, Rsolnp

Suggests testthat, knitr, rmarkdown, covr, tmle

See at CRAN