fit.AIPW

<p>Fitting the data into the AIPW object with/without cross-fitting to estimate the efficient influence functions</p>

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

fit function

R6 Usage

Fit the data to the AIPW object — fit

Fit the data to the AIPW object

fit: Fit the data to the AIPW object

Description

Arguments

Value

R6 Usage

See Also