residG: residG

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

residG

Description

This function computes the residuals that are used as outcomes in the reduced dimension regressions for g.

Usage

residG(A0, A1, g0n, g1n, abar, ...)

Arguments

A0	A vector treatment delivered at baseline.
A1	A vector treatment deliver after L1 is measured.
g0n	A vector of estimates of g_0,0
g1n	A vector of estimates of g_1,0
abar	A vector of length 2 indicating the treatment assignment that is of interest.
...	Other arguments (not currently used)

Value

A list with elements rg1 and rg2 that are the outcomes in the reduced dimension regressions on Q1n and Q2n, respectively.

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