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]