RegressionModel

<p>Root class for Regression Models, e.g., CPH, logistic, and linear regression</p>
<p>Root class for Regression Models, e.g., CPH, logistic, and linear regression</p>

data-preparation

Case-based reasoning is a problem-solving methodology that involves solving a new problem by referring to the solution of a similar problem in a large set of previously solved problems. The key aspect of Case Based Reasoning is to determine the problem that "most closely" matches the new problem at hand. This is achieved by defining a family of distance functions and using these distance functions as parameters for local averaging regression estimates of the final result. The optimal distance function is chosen based on a specific error measure used in regression estimation. This approach allows for efficient problem-solving by leveraging past experiences and adapting solutions from similar cases. The underlying concept is inspired by the work of Dippon J. (2002) <doi:10.1016/S0167-9473(02)00058-0>.

Dr. Mueller

CaseBasedReasoning

Case Based Reasoning

Simon Mueller

PD Dr. Juergen Dippon

RegressionModel function

<p><code>CaseBasedReasoning::CBRBase</code> -&gt; <code>RegressionModel</code></p>

Super class

<p><div class="r6-fields"></div></p><dl>
<dt><code>model_params</code></dt>
<dd><p>rms arguments</p></dd><p></p><p>
<dt><code>weights</code></dt>
<dd><p>Weights for distance calculation</p></dd></p><p>
</p></dl><p></p>

Public fields


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/RegressionModel%24print()?package=CaseBasedReasoning&version=0.3" data-mini-rdoc="CaseBasedReasoning::RegressionModel$print()"><code>RegressionModel$print()</code></a></p></li>
<li><p><a href="/link/RegressionModel%24variable_selection()?package=CaseBasedReasoning&version=0.3" data-mini-rdoc="CaseBasedReasoning::RegressionModel$variable_selection()"><code>RegressionModel$variable_selection()</code></a></p></li>
<li><p><a href="/link/RegressionModel%24fit()?package=CaseBasedReasoning&version=0.3" data-mini-rdoc="CaseBasedReasoning::RegressionModel$fit()"><code>RegressionModel$fit()</code></a></p></li>
<li><p><a href="/link/RegressionModel%24clone()?package=CaseBasedReasoning&version=0.3" data-mini-rdoc="CaseBasedReasoning::RegressionModel$clone()"><code>RegressionModel$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="CaseBasedReasoning" data-topic="CBRBase" data-id="calc_distance_matrix"><a href="/link/CaseBasedReasoning%3A%3ACBRBase%24calc_distance_matrix()?package=CaseBasedReasoning&version=0.3" data-mini-rdoc="CaseBasedReasoning::CaseBasedReasoning::CBRBase$calc_distance_matrix()"><code>CaseBasedReasoning::CBRBase$calc_distance_matrix()</code></a></span></li>
<li><span class="pkg-link" data-pkg="CaseBasedReasoning" data-topic="CBRBase" data-id="get_similar_cases"><a href="/link/CaseBasedReasoning%3A%3ACBRBase%24get_similar_cases()?package=CaseBasedReasoning&version=0.3" data-mini-rdoc="CaseBasedReasoning::CaseBasedReasoning::CBRBase$get_similar_cases()"><code>CaseBasedReasoning::CBRBase$get_similar_cases()</code></a></span></li>
<li><span class="pkg-link" data-pkg="CaseBasedReasoning" data-topic="CBRBase" data-id="initialize"><a href="/link/CaseBasedReasoning%3A%3ACBRBase%24initialize()?package=CaseBasedReasoning&version=0.3" data-mini-rdoc="CaseBasedReasoning::CaseBasedReasoning::CBRBase$initialize()"><code>CaseBasedReasoning::CBRBase$initialize()</code></a></span></li>
</ul>
</details></p><p><hr>
<a id="method-RegressionModel-print"></a></p><div class="section" id="method-print-">
<h3>Method <code><a href="/link/print()?package=CaseBasedReasoning&version=0.3" data-mini-rdoc="CaseBasedReasoning::print()">print()</a></code></h3>
<p>Prints information of the initialized object</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>RegressionModel$print()</code></pre><p></p></div><p></p>
</div><p></p><p>
</p><p><hr>
<a id="method-RegressionModel-variable_selection"></a></p><div class="section" id="method-variable-selection-">
<h3>Method <code>variable_selection()</code></h3>
<p>Fast backward variable selection with penalization</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>RegressionModel$variable_selection(x)</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>x</code></dt>
<dd><p>Training data of class data.frame</p></dd></dl></div></p><p>
</p><p></p>
<p></p><p></p><p><hr>
<a id="method-RegressionModel-fit"></a></p><div class="section" id="method-fit-">
<h3>Method <code>fit()</code></h3>
<p>Fit the RandomForest</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>RegressionModel$fit()</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>x</code></dt>
<dd><p>Training data of class data.frame</p></dd></dl></div></p><p>
</p><p></p>
<p></p><p></p><p><hr>
<a id="method-RegressionModel-clone"></a></p><div class="section" id="method-clone-">
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>RegressionModel$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

Root class for Regression Models, e.g., CPH, logistic, and linear regression — RegressionModel

<p><div class="r6-fields"></p><dl>
<dt><code>model_params</code></dt>
<dd><p>rms arguments</p></dd>


<dt><code>weights</code></dt>
<dd><p>Weights for distance calculation</p></dd>


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


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

<ul>
<li><p><a href='#method-RegressionModel-print'><code>RegressionModel$print()</code></a></p></li>
<li><p><a href='#method-RegressionModel-variable_selection'><code>RegressionModel$variable_selection()</code></a></p></li>
<li><p><a href='#method-RegressionModel-fit'><code>RegressionModel$fit()</code></a></p></li>
<li><p><a href='#method-RegressionModel-clone'><code>RegressionModel$clone()</code></a></p></li>
</ul>

</div><p><details open><summary>Inherited methods</summary>
<ul>
<li><span class="pkg-link" data-pkg="CaseBasedReasoning" data-topic="CBRBase" data-id="calc_distance_matrix"><a href='../../CaseBasedReasoning/html/CBRBase.html#method-CBRBase-calc_distance_matrix'><code>CaseBasedReasoning::CBRBase$calc_distance_matrix()</code></a></span></li>
<li><span class="pkg-link" data-pkg="CaseBasedReasoning" data-topic="CBRBase" data-id="get_similar_cases"><a href='../../CaseBasedReasoning/html/CBRBase.html#method-CBRBase-get_similar_cases'><code>CaseBasedReasoning::CBRBase$get_similar_cases()</code></a></span></li>
<li><span class="pkg-link" data-pkg="CaseBasedReasoning" data-topic="CBRBase" data-id="initialize"><a href='../../CaseBasedReasoning/html/CBRBase.html#method-CBRBase-initialize'><code>CaseBasedReasoning::CBRBase$initialize()</code></a></span></li>
</ul>
</details>

<hr>
<a id="method-RegressionModel-print"></a></p><div class='section' id='method-print-'>
<h3>Method <code><a href='https://rdrr.io/r/base/print.html'>print()</a></code></h3>
<p>Prints information of the initialized object</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>RegressionModel$print()</code></pre><p></div></p>
</div>


</div><p><hr>
<a id="method-RegressionModel-variable_selection"></a></p><div class='section' id='method-variable-selection-'>
<h3>Method <code>variable_selection()</code></h3>
<p>Fast backward variable selection with penalization</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>RegressionModel$variable_selection(x)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>x</code></dt>
<dd><p>Training data of class data.frame</p></dd>


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

</div><p><hr>
<a id="method-RegressionModel-fit"></a></p><div class='section' id='method-fit-'>
<h3>Method <code>fit()</code></h3>
<p>Fit the RandomForest</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>RegressionModel$fit()</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>x</code></dt>
<dd><p>Training data of class data.frame</p></dd>


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

</div><p><hr>
<a id="method-RegressionModel-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>RegressionModel$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>


RegressionModel: Root class for Regression Models, e.g., CPH, logistic, and linear regression

Description

Arguments

Super class

Public fields

Methods

Public methods

Method `print()`

Usage

Method `variable_selection()`

Usage

Arguments

Method `fit()`

Usage

Arguments

Method `clone()`

Usage

Arguments

Description

Arguments

Super class

Public fields

Methods

Public methods

Method print()

Usage

Method variable_selection()

Usage

Arguments

Method fit()

Usage

Arguments

Method clone()

Usage

Arguments

Method `print()`

Method `variable_selection()`

Method `fit()`

Method `clone()`