Kernel-class

Class <code>Kernel</code> holds information regarding the decision function kernel

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

Kernel-class function

<dl>
<dt><code>model</code></dt>
<dd>An formula. Defines the covariates of the kernel.</dd></dl>
<dt><code>X</code></dt>
<dd>A matrix. The covariates of the kernel</dd>
<dt><code>kparam</code></dt>
<dd>ANY. The kernel parameter</dd>

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Class Kernel — Kernel-class

<dl>
<dt><code>model</code></dt>
<dd>An formula. Defines the covariates of the kernel.</dd>


<dt><code>X</code></dt>
<dd>A matrix. The covariates of the kernel</dd>


<dt><code>kparam</code></dt>
<dd>ANY. The kernel parameter</dd>


</dl>

Kernel-class: Class `Kernel`

Description

Arguments

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