OptimalSeqAIPWE_SDP-class

Implementation of single-decision-point missing data
perspective with AIPWE.

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

OptimalSeqAIPWE_SDP-class function

Objects can be created by calls of the form <code>new("OptimalSeqAIPWE_SDP", ...)</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>genetic</code>:</dt><dd>An object of class <code>"list."</code> 
 Results returned by genetic algorithm.</dd><dt><code>regime</code>:</dt><dd>An object of class <code>"Regime."</code>
 The regime class definition.</dd>
 </dl>

Slots

Classes <code>"<a rd-options="" href="/link/OptimalSeq-class?package=DynTxRegime&version=3.2" data-mini-rdoc="DynTxRegime::OptimalSeq-class">OptimalSeq-class</a>"</code> and <code>"<a rd-options="" href="/link/PropensityAndOutcome-class?package=DynTxRegime&version=3.2" data-mini-rdoc="DynTxRegime::PropensityAndOutcome-class">PropensityAndOutcome-class</a>"</code>, directly.
Class <code>"<a rd-options="" href="/link/DynTxRegime-class?package=DynTxRegime&version=3.2" data-mini-rdoc="DynTxRegime::DynTxRegime-class">DynTxRegime-class</a>"</code> by class <code>"<a rd-options="" href="/link/OptimalSeq-class?package=DynTxRegime&version=3.2" data-mini-rdoc="DynTxRegime::OptimalSeq-class">OptimalSeq-class</a>"</code>, distance 2.

Extends

<dl class="dl-horizontal">
 <dt>DTRstep</dt><dd><code>signature(object = "OptimalSeqAIPWE_SDP")</code>: 
 Retrieve description of method used to create object.</dd>
 <dt>genetic</dt><dd><code>signature(object = "OptimalSeqAIPWE_SDP")</code>: 
 Retrieve the value object returned by rgenoud.</dd>
 <dt>optTx</dt><dd><code>signature(x = "OptimalSeqAIPWE_SDP", newdata = "data.frame")</code>: 
 Estimate optimal treatment for newdata.</dd>
 <dt>print</dt><dd><code>signature(x = "OptimalSeqAIPWE_SDP")</code>: 
 Print key results of method.</dd>
 <dt>regimeCoef</dt><dd><code>signature(x = "OptimalSeqAIPWE_SDP")</code>: 
 Retrieve regime parameter estimates.</dd>
 <dt>show</dt><dd><code>signature(object = "OptimalSeqAIPWE_SDP")</code>: 
 Show key results of method.</dd>
 <dt>summary</dt><dd><code>signature(object = "OptimalSeqAIPWE_SDP")</code>: 
 Retrieve key summary information of method.</dd></dl>

Methods

Class <code>"OptimalSeqAIPWE_SDP"</code> — OptimalSeqAIPWE_SDP-class

Classes <code>"<a rd-options='' href='OptimalSeq-class'>OptimalSeq-class</a>"</code> and <code>"<a rd-options='' href='PropensityAndOutcome-class'>PropensityAndOutcome-class</a>"</code>, directly.
Class <code>"<a rd-options='' href='DynTxRegime-class'>DynTxRegime-class</a>"</code> by class <code>"<a rd-options='' href='OptimalSeq-class'>OptimalSeq-class</a>"</code>, distance 2.

OptimalSeqAIPWE_SDP-class: Class `"OptimalSeqAIPWE_SDP"`

Description

Arguments

Objects from the Class

Slots

Extends

Methods