evaluateEIF: evaluateEIF

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

Description

Function that returns estimated efficient influence function contributions.

Usage

evaluateEIF(A0, A1, L2, Q2n, Q1n, g1n, g0n, abar, ...)

Arguments

A0	A vector treatment delivered at baseline.
A1	A vector treatment deliver after L1 is measured.
L2	A vector outcome of interest.
Q2n	A vector of estimates of Q_2,0
Q1n	A vector of estimates of Q_1,0
g1n	A vector of estimates of g_1,0
g0n	A vector of estimates of g_0,0
abar	A vector of length 2 indicating the treatment assignment that is of interest.
...	Additional arguments (not currently used)

Value

A list with named entries corresponding to the different pieces of the EIF at the nuisance parameter estimates evaluated at the observations.

benkeser/drinf documentation built on May 12, 2019, 11:59 a.m.