TMLE.updater.NULL: iTMLE NULL learner / updater

In osofr/estimtr: Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

Description

Returns the inputs Y as they are, without updating. This function is passed along as a separate learner to the SuperLearner implementation of origami package

Usage

TMLE.updater.NULL(Y, X, newX, family, obsWeights, ...)

Arguments

Y	Input outcomes
X	Input design matrix with training data. Must contain a column named "offset", which contains the offsets converted to logit-linear scale.
newX	Input design matrix with test data. Same requirement as for X: must contain a column named "offset", which contains the offsets converted to logit-linear scale.
family	Link function (ignored).
obsWeights	Row-specific weights
...	Additional arguments to be passed on to origami package.

osofr/estimtr documentation built on Jan. 25, 2022, 8:05 a.m.