TxSubset-class

Class <code>TxSubset</code> stores subset information for tx

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

TxSubset-class function

<dl>
<dt><code>ptsSubset</code></dt>
<dd>A character vector. The name of the subset of which each 
patient is a member</dd></dl>
<dt><code>subsetRule</code></dt>
<dd>A function. The fSet function provided by user.</dd>
<dt><code>subsets</code></dt>
<dd>A list. The feasible treatments for each subset. The elements
must be named and contain tx subsets</dd>
<dt><code>singleton</code></dt>
<dd>A logical vector. TRUE indicates if 1 tx is available to
each patient</dd>

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Class TxSubset — TxSubset-class

<dl>
<dt><code>ptsSubset</code></dt>
<dd>A character vector. The name of the subset of which each 
patient is a member</dd>


<dt><code>subsetRule</code></dt>
<dd>A function. The fSet function provided by user.</dd>


<dt><code>subsets</code></dt>
<dd>A list. The feasible treatments for each subset. The elements
must be named and contain tx subsets</dd>


<dt><code>singleton</code></dt>
<dd>A logical vector. TRUE indicates if 1 tx is available to
each patient</dd>


</dl>

TxSubset-class: Class `TxSubset`

Description

Arguments

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