CVInfokParam-class

Class <code>CVInfokParam</code> holds information regarding cross-validation
 procedure when only multiple kernel parameters values are considered.

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

CVInfokParam-class function

<dl>
<dt><code>value</code></dt>
<dd>Array of values at parameters considered</dd></dl>

Slots

Class CVInfokParam — CVInfokParam-class

<dl>
<dt><code>value</code></dt>
<dd>Array of values at parameters considered</dd>


</dl>

CVInfokParam-class: Class `CVInfokParam`

Description

Arguments

Slots