evalAugW {twoStageDesignTMLE}R Documentation

.evalAugW calls TMLE to use super learner to evalute preliminary predictions for Q(0,W) and Q(1,W) conditioning on stage 1 covariates

Description

.evalAugW calls TMLE to use super learner to evalute preliminary predictions for Q(0,W) and Q(1,W) conditioning on stage 1 covariates

Usage

evalAugW(Y, A, W, Delta, id, family, SL.library)

Arguments

Y

outcome vector

A

binary treatment indicator

W

covariate matrix

Delta

outcome missingness indicator

id

identifier of i.i.d. unit

family

outcome regression family

SL.library

super learner library for outcome regression modeling

Value

W.Q, nx2 matrix of outcome predictions based on stage 1 covariates


[Package twoStageDesignTMLE version 1.0 Index]