CVInfo1Par-class

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

CVInfo1Par-class function

Objects can be created by calls of the form <code>new(&quot;CVInfo1Par&quot;, ...)</code>.
These objects are for convenience in package development
and should not be created by users.

Objects from the Class

Class <code>&quot;<a rd-options="" href="/link/CVInfo-class?package=DynTxRegime&version=3.01" data-mini-rdoc="DynTxRegime::CVInfo-class">CVInfo-class</a>&quot;</code> directly.

Extends

<dl class="dl-horizontal">
    <dt>.getPars</dt><dd><code>signature(object = &quot;CVInfo1Par&quot;)</code>: 
      Retrieve parameter values considered.</dd><p></p><p><dt>.getValue</dt><dd><code>signature(object = &quot;CVInfo1Par&quot;)</code>: 
      Retrieve values at each parameter considered.</dd>
  </p></dl>

Methods

Class  — CVInfo1Par-class

Class <code>&quot;<a rd-options='' href='CVInfo-class'>CVInfo-class</a>&quot;</code> directly.

CVInfo1Par-class: Class

Description

Arguments

Objects from the Class

Extends

Methods

Examples