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, propensity_model, formula = ~1, data, ...)

Arguments

response_model	Model for the response given covariates (learner or formula)
propensity_model	Optional missing data mechanism model (propensity model) (learner or formula)
formula	design specifying the OLS estimator with outcome given by the EIF
data	data.frame
...	additional arguments (see cate())

Examples

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

aipw(y0 ~ x, data=d)

targeted documentation built on Jan. 12, 2026, 9:08 a.m.