OutcomeIterateFit-class

Class <code>OutcomeIterateFit</code> is a an outcome regression step completed
 using the iterative algorithm.

internal

Methods to estimate dynamic treatment regimes using Interactive
Q-Learning, Q-Learning, weighted learning, and value-search methods based on
Augmented Inverse Probability Weighted Estimators and Inverse Probability
Weighted Estimators. Dynamic Treatment Regimes: Statistical Methods for
Precision Medicine, Tsiatis, A. A., Davidian, M. D., Holloway, S. T., and Laber, E. B.,
Chapman & Hall/CRC Press, 2020, ISBN:978-1-4987-6977-8.

Shannon Holloway

DynTxRegime

Methods for Estimating Optimal Dynamic Treatment Regimes

OutcomeIterateFit-class function

<dl>
<dt><code>fitObjC</code></dt>
<dd>Contrast Result</dd></dl>
<dt><code>fitObjM</code></dt>
<dd>Main Effects Result</dd>

Slots

Class OutcomeIterateFit — OutcomeIterateFit-class

<dl>
<dt><code>fitObjC</code></dt>
<dd>Contrast Result</dd>


<dt><code>fitObjM</code></dt>
<dd>Main Effects Result</dd>


</dl>

OutcomeIterateFit-class: Class `OutcomeIterateFit`

Description

Arguments

Slots