TypedFitObj-class

Class <code>TypedFit_SubsetList</code> allows for TypedFit based objects to be 
grouped under a common name.

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

TypedFitObj-class function

<dl>
<dt><code>fit</code></dt>
<dd>ANY - expected to be <code>TypedFit</code>, <code>TypedFit_fSet</code>.
<code>TypedFit_SubsetList</code> or <code>DecisionPointList</code> of these.</dd></dl>

Slots

Class TypedFitObj — TypedFitObj-class

<dl>
<dt><code>fit</code></dt>
<dd>ANY - expected to be <code>TypedFit</code>, <code>TypedFit_fSet</code>.
<code>TypedFit_SubsetList</code> or <code>DecisionPointList</code> of these.</dd>


</dl>

TypedFitObj-class: Class `TypedFitObj`

Description

Arguments

Slots