estimategrn_loop {drtmle} | R Documentation |
estimategrn_loop
Description
Helper function to clean up the internal code of drtmle
Usage
estimategrn_loop(validRows, Y, A, W, DeltaA, DeltaY, tolg, Qn, gn, glm_gr,
SL_gr, a_0, reduction, returnModels, use_future)
Arguments
validRows |
A |
Y |
A vector of continuous or binary outcomes. |
A |
A vector of binary treatment assignment (assumed to be equal to 0 or 1). |
W |
A |
DeltaA |
Indicator of missing treatment (assumed to be equal to 0 if missing 1 if observed). |
DeltaY |
Indicator of missing outcome (assumed to be equal to 0 if missing 1 if observed). |
tolg |
A numeric indicating the minimum value for estimates of the propensity score. |
Qn |
A list of outcome regression estimates evaluated on observed data. |
gn |
A list of propensity regression estimates evaluated on observed data. |
glm_gr |
A character describing a formula to be used in the call to
|
SL_gr |
A vector of characters or a list describing the Super Learner library to be used for the reduced-dimension propensity score. |
a_0 |
A list of fixed treatment values . |
reduction |
A character equal to |
returnModels |
A boolean indicating whether to return model fits for the outcome regression, propensity score, and reduced-dimension regressions. |
use_future |
Should |