DecisionNode

<p>An R6 class representing a decision node in a decision tree.</p>

Classes and functions for modelling health care interventions
using decision trees and semi-Markov models. Mechanisms are provided for
associating an uncertainty distribution with each source variable and for
ensuring transparency of the mathematical relationships between variables.
The package terminology follows Briggs "Decision Modelling for Health
Economic Evaluation" (2006, ISBN:978-0-19-852662-9).

Andrew Sims

rdecision

Decision Analytic Modelling in Health Economics

Kim Fairbairn

Paola Cognigni

DecisionNode function

<p>Andrew J. Sims <a href="/link/andrew.sims%40newcastle.ac.uk?package=rdecision&version=1.1.2" data-mini-rdoc="rdecision::andrew.sims@newcastle.ac.uk">andrew.sims@newcastle.ac.uk</a></p>

Author

<p><code>rdecision::Node</code> -&gt; <code>DecisionNode</code></p>

Super class


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/DecisionNode%24new()?package=rdecision&version=1.1.2" data-mini-rdoc="rdecision::DecisionNode$new()"><code>DecisionNode$new()</code></a></p></li>
<li><p><a href="/link/DecisionNode%24clone()?package=rdecision&version=1.1.2" data-mini-rdoc="rdecision::DecisionNode$clone()"><code>DecisionNode$clone()</code></a></p></li>
</ul></p><p></p></div><p><details open><summary>Inherited methods</summary>
<ul>
<li><span class="pkg-link" data-pkg="rdecision" data-topic="Node" data-id="label"><a href="/link/rdecision%3A%3ANode%24label()?package=rdecision&version=1.1.2" data-mini-rdoc="rdecision::rdecision::Node$label()"><code>rdecision::Node$label()</code></a></span></li>
<li><span class="pkg-link" data-pkg="rdecision" data-topic="Node" data-id="type"><a href="/link/rdecision%3A%3ANode%24type()?package=rdecision&version=1.1.2" data-mini-rdoc="rdecision::rdecision::Node$type()"><code>rdecision::Node$type()</code></a></span></li>
</ul>
</details></p><p><hr>
<a id="method-DecisionNode-new"></a></p><div class="section" id="method-new-">
<h3>Method <code>new()</code></h3>
<p>Create a new decision node.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>DecisionNode$new(label)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>label</code></dt>
<dd><p>A label for the node. Must be defined because the label is
used in tabulation of strategies. The label is automatically converted
to a syntactically valid (in R) name to ensure it can be used as a column
name in a data frame.</p></dd></dl></div></p><p>
</p><p></p>

<div class="section" id="returns">
<h4>Returns</h4>
<p>A new <code>DecisionNode</code> object.</p>
</div><p></p><p></p><p><hr>
<a id="method-DecisionNode-clone"></a></p><div class="section" id="method-clone-">
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>DecisionNode$clone(deep = FALSE)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>deep</code></dt>
<dd><p>Whether to make a deep clone.</p></dd></dl></div></p><p>
</p><p></p>
<p></p><p>
</p>

Methods

A decision node in a decision tree — DecisionNode

<p>Andrew J. Sims <a href='mailto:andrew.sims@newcastle.ac.uk'>andrew.sims@newcastle.ac.uk</a></p>


<div class='section' id='public-methods'>
<h3>Public methods</h3>

<ul>
<li><p><a href='#method-DecisionNode-new'><code>DecisionNode$new()</code></a></p></li>
<li><p><a href='#method-DecisionNode-clone'><code>DecisionNode$clone()</code></a></p></li>
</ul>

</div><p><details open><summary>Inherited methods</summary>
<ul>
<li><span class="pkg-link" data-pkg="rdecision" data-topic="Node" data-id="label"><a href='../../rdecision/html/Node.html#method-Node-label'><code>rdecision::Node$label()</code></a></span></li>
<li><span class="pkg-link" data-pkg="rdecision" data-topic="Node" data-id="type"><a href='../../rdecision/html/Node.html#method-Node-type'><code>rdecision::Node$type()</code></a></span></li>
</ul>
</details>

<hr>
<a id="method-DecisionNode-new"></a></p><div class='section' id='method-new-'>
<h3>Method <code>new()</code></h3>
<p>Create a new decision node.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>DecisionNode$new(label)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>label</code></dt>
<dd><p>A label for the node. Must be defined because the label is
used in tabulation of strategies. The label is automatically converted
to a syntactically valid (in R) name to ensure it can be used as a column
name in a data frame.</p></dd>


</dl><p></div></p>
</div>
<div class='section' id='returns'>
<h4>Returns</h4>
<p>A new <code>DecisionNode</code> object.</p>
</div>

</div><p><hr>
<a id="method-DecisionNode-clone"></a></p><div class='section' id='method-clone-'>
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>DecisionNode$clone(deep = FALSE)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>deep</code></dt>
<dd><p>Whether to make a deep clone.</p></dd>


</dl><p></div></p>
</div>

</div>


DecisionNode: A decision node in a decision tree

Description

Arguments

Author

Super class

Methods

Public methods

Method `new()`

Usage

Arguments

Returns

Method `clone()`

Usage

Arguments

Details

Description

Arguments

Author

Super class

Methods

Public methods

Method new()

Usage

Arguments

Returns

Method clone()

Usage

Arguments

Details

Method `new()`

Method `clone()`