CVInfo2Par-class

Cross-Validation with two parameters.

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

CVInfo2Par-class function

Objects can be created by calls of the form <code>new("CVInfo2Par", ...)</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>pars2</code>:</dt><dd>An object of class <code>"numeric."</code> 
 Second Parameter values considered.</dd><dt><code>opt2</code>:</dt><dd>An object of class <code>"numeric."</code> 
 Optimal second parameter value.</dd>
 </dl>

Slots

Class <code>"<a rd-options="" href="/link/CVInfo-class?package=DynTxRegime&version=3.2" data-mini-rdoc="DynTxRegime::CVInfo-class">CVInfo-class</a>"</code> directly.

Extends

<dl class="dl-horizontal">
 <dt>.getPars</dt><dd><code>signature(object = "CVInfo2Par")</code>: 
 Retrieve parameter values considered.</dd>
 </dl>

Methods

Class <code>"CVInfo2Par"</code> — CVInfo2Par-class

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

<dl class='dl-horizontal'>
 <dt>.getPars</dt><dd><code>signature(object = "CVInfo2Par")</code>: 
 Retrieve parameter values considered.</dd>
 </dl>

CVInfo2Par-class: Class `"CVInfo2Par"`

Description

Arguments

Objects from the Class

Slots

Extends

Methods

Examples