targeted (version 0.5)

aipw: AIPW estimator

Description

AIPW for the mean (and linear projections of the EIF) with missing observations

Usage

aipw(response_model, data, formula = ~1, missing_model, ...)

Arguments

response_model

Model for the response given covariates (ml_model or formula)

data

data.frame

formula

design specifying the OLS estimator with outcome given by the EIF

missing_model

Optional missing_model (ml_model or formula). By default will use the same design as the response_model.

...

arguments to cate

Examples

m <- lvm(y ~ x+z, r ~ x)
distribution(m,~ r) <- binomial.lvm()
transform(m, y0~r+y) <- function(x) { x[x[,1]==0,2] <- NA; x[,2] }
d <- sim(m,1e3,seed=1)

aipw(y0 ~ x, data=d)