PropensityFit_SubsetList-class

Class <code>PropensityFit_SubsetList</code> is a <code>TypedFit_SubsetList</code> 
 identified as being for a propensity regression step.

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

PropensityFit_SubsetList-class function

<dl>
<dt><code>small</code></dt>
<dd>A logical vector TRUE indicates that the smallest valued tx is
missing; FALSE indicates that the largest valued tx is missing</dd></dl>
<dt><code>levs</code></dt>
<dd>A list; the set of treatment options included in each fit.</dd>

Slots

Class PropensityFit_SubsetList — PropensityFit_SubsetList-class

<dl>
<dt><code>small</code></dt>
<dd>A logical vector TRUE indicates that the smallest valued tx is
missing; FALSE indicates that the largest valued tx is missing</dd>


<dt><code>levs</code></dt>
<dd>A list; the set of treatment options included in each fit.</dd>


</dl>

PropensityFit_SubsetList-class: Class `PropensityFit_SubsetList`

Description

Arguments

Slots