OptimObj-class

Class <code>OptimObj</code> stores the optimization results under a common name
 for weighted learning methods.

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

OptimObj-class function

<dl>
<dt><code>optim</code></dt>
<dd>ANY - expected to be <code>OptimBasic</code> or <code>OptimKernel</code></dd></dl>

Slots

Class OptimObj — OptimObj-class

<dl>
<dt><code>optim</code></dt>
<dd>ANY - expected to be <code>OptimBasic</code> or <code>OptimKernel</code></dd>


</dl>

OptimObj-class: Class `OptimObj`

Description

Arguments

Slots