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: < https://yqzhong7.github.io/AIPW/> for more information.


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Reference manual

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install.packages("AIPW")

0.6.3.2 by Yongqi Zhong, 3 months ago


https://github.com/yqzhong7/AIPW


Report a bug at https://github.com/yqzhong7/AIPW/issues


Browse source code at https://github.com/cran/AIPW


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