evaluateIF: evaluateIF

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

evaluateIF

Description

Function that returns estimated influence function contributions.

Usage

evaluateIF(A0, A1, L2, Q2n, Q1n, g1n, g0n, Q2nr.obsa, Q1nr1, Q1nr2, g0nr, g1nr,
  h0nr, h1nr, hbarnr, 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
Q2nr.obsa	A vector of estimates of Q_2,0^r at the observed values of A0.
Q1nr1	A vector of estimates of Q_1,0,1^r
Q1nr2	A vector of estimates of Q_1,0,2^r
g0nr	A vector of estimates of g_0,0^r
g1nr	A vector of estimates of g_0,0^r
h0nr	A vector of estimates of h_0,0^r
h1nr	A vector of estimates of h_1,0^r
hbarnr	A vector of estimates of h^r, the iterated reduced dimension regression.
abar	A vector of length 2 indicating the treatment assignment that is of interest.

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 Oct. 22, 2023, 9:50 a.m.