aipw: AIPW estimator

In targeted: Targeted Inference

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)

targeted documentation built on May 29, 2024, 2:08 a.m.