OptimBasic-class

Class <code>OptimBasic</code> holds results of an optimization step when linear
 kernel is used for decision function.

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

OptimBasic-class function

<dl>
<dt><code>lambda</code></dt>
<dd>A numeric, tuning parameter</dd></dl>
<dt><code>optim</code></dt>
<dd>A list, value object returned by optimization method
expected optimization methods are optim and hjk</dd>
<dt><code>surrogate</code></dt>
<dd>A Surrogate object specifying loss-function surrogate</dd>

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Class OptimBasic — OptimBasic-class

<dl>
<dt><code>lambda</code></dt>
<dd>A numeric, tuning parameter</dd>


<dt><code>optim</code></dt>
<dd>A list, value object returned by optimization method
expected optimization methods are optim and hjk</dd>


<dt><code>surrogate</code></dt>
<dd>A Surrogate object specifying loss-function surrogate</dd>


</dl>

OptimBasic-class: Class `OptimBasic`

Description

Arguments

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