targetg0: targetg0

In benkeser/drinf: Computes doubly-robust estimators and doubly-robust confidence intervals

targetg0

Description

Function that targets g0n.

Usage

targetg0(A0, A1, L2, Qn, gn, Qnr.gnr, abar, tolg, tolQ, return.models,
  tol.coef = 10, method = "scaled", ...)

Arguments

A0	A vector treatment delivered at baseline.
A1	A vector treatment deliver after L1 is measured.
L2	A vector outcome of interest.
Qn	A list of current estimates of Q2n and Q1n
gn	A list of current estimates of g1n and g0n
Qnr.gnr	A list of current estimates of reduced dim. regressions
abar	A vector of length 2 indicating the treatment assignment that is of interest.
tolg	A numeric indicating the truncation level for conditional treatment probabilities.
tolQ	A numeric
return.models	A boolean indicating whether the fluctuation model should be returned with the output.
method	A character either "covariate" or "weight"

Value

A list with named entries corresponding to the estimators of the fluctuated nuisance parameters evaluated at the observed data values. If return.models = TRUE output also includes the fitted fluctuation model.

benkeser/drinf documentation built on Oct. 22, 2023, 9:50 a.m.