OptimalInfo-class

Class <code>OptimalInfo</code> stores the estimated optimal tx, decision functions,
and estimated value.

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

OptimalInfo-class function

<dl>
<dt><code>optimalTx</code></dt>
<dd>a vector of the estimated optimal tx</dd></dl>
<dt><code>estimatedValue</code></dt>
<dd>a vector of the estimated value</dd>
<dt><code>decisionFunc</code></dt>
<dd>a vector or matrix containing the values used to determine
@optimalTx (if applicable)</dd>

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Class OptimalInfo — OptimalInfo-class

<dl>
<dt><code>optimalTx</code></dt>
<dd>a vector of the estimated optimal tx</dd>


<dt><code>estimatedValue</code></dt>
<dd>a vector of the estimated value</dd>


<dt><code>decisionFunc</code></dt>
<dd>a vector or matrix containing the values used to determine
@optimalTx (if applicable)</dd>


</dl>

OptimalInfo-class: Class `OptimalInfo`

Description

Arguments

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