AIPW_base

A base class for AIPW that implements the common methods, such as <code><a href="/link/summary()?package=AIPW&version=0.6.9.2" data-mini-rdoc="AIPW::summary()">summary()</a></code> and <code>plot.p_score()</code>, inheritted by AIPW and AIPW_tmle class

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.

Yongqi Zhong

AIPW

Augmented Inverse Probability Weighting

Ashley Naimi

Gabriel Conzuelo

Edward Kennedy

AIPW_base function

<a href="https://CRAN.R-project.org/package=R6">R6</a> object.

Format

A base class for AIPW that implements the common methods, such as <code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code> and <code>plot.p_score()</code>, inheritted by AIPW and AIPW_tmle class

Augmented Inverse Probability Weighting Base Class (AIPW_base) — AIPW_base

<a href='https://CRAN.R-project.org/package=R6'>R6</a> object.

AIPW_base: Augmented Inverse Probability Weighting Base Class (AIPW_base)

Description

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Format

See Also