PropensityFit_SubsetList-class

predict,PropensityFit_SubsetList-method

Propensity regression when subset modeling is used.

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.

Shannon Holloway

DynTxRegime

Methods for Estimating Optimal Dynamic Treatment Regimes

PropensityFit_SubsetList-class function

Objects can be created by calls of the form <code>new(&quot;PropensityFit_SubsetList&quot;, ...)</code>.
These objects are for convenience in package development
and should not be created by users.

Objects from the Class

<dl class="dl-horizontal">
 <dt><code>txInfo</code>:</dt><dd>An object of class <code>&quot;TxInfoWithSubsets.&quot;</code>
 Treatment information.</dd>
 </dl>

Slots

Classes <code>&quot;<a rd-options="" href="/link/SubsetList-class?package=DynTxRegime&version=3.01" data-mini-rdoc="DynTxRegime::SubsetList-class">SubsetList-class</a>,&quot;</code>
<code>&quot;<a rd-options="" href="/link/PropensityRegression-class?package=DynTxRegime&version=3.01" data-mini-rdoc="DynTxRegime::PropensityRegression-class">PropensityRegression-class</a>,&quot;</code> and
<code>&quot;<a rd-options="" href="/link/SubsetsModeled-class?package=DynTxRegime&version=3.01" data-mini-rdoc="DynTxRegime::SubsetsModeled-class">SubsetsModeled-class</a>&quot;</code> directly.Classes 
<code>&quot;<a rd-options="" href="/link/SingleDecisionPoint-class?package=DynTxRegime&version=3.01" data-mini-rdoc="DynTxRegime::SingleDecisionPoint-class">SingleDecisionPoint-class</a>&quot;</code> and 
<code>&quot;<a rd-options="" href="/link/List-class?package=DynTxRegime&version=3.01" data-mini-rdoc="DynTxRegime::List-class">List-class</a>&quot;</code> by class <code>&quot;<a rd-options="" href="/link/SubsetList-class?package=DynTxRegime&version=3.01" data-mini-rdoc="DynTxRegime::SubsetList-class">SubsetList-class</a>,&quot;</code>
distance 2.

Extends

<dl class="dl-horizontal"><dt>predict</dt><dd><code>signature(object = &quot;PropensityFit_SubsetList&quot;)</code>: 
 Predict propensity score for all subsets. </dd></dl>

Methods

Class  — PropensityFit_SubsetList-class

<dl class='dl-horizontal'>
 <dt><code>txInfo</code>:</dt><dd>An object of class <code>&quot;TxInfoWithSubsets.&quot;</code>
 Treatment information.</dd>
 </dl>

PropensityFit_SubsetList-class: Class

Description

Arguments

Objects from the Class

Slots

Extends

Methods

Examples