mlr_measures_ci.cor_t

MeasureCiCorrectedT

<p>Corrected-T confidence intervals based on <code>ResamplingSubsampling</code>.
A heuristic factor is applied to correct for the dependence between the iterations.
The confidence intervals tend to be liberal.
This inference method can also be applied to non-decomposable losses.</p>

Confidence interval and resampling methods for inference on
the generalization error.

Sebastian Fischer

mlr3inferr

Inference on the Generalization Error

Hannah Schulz-Kümpel

mlr_measures_ci.cor_t function

<p></p><p></p><p>Only those from <code>MeasureAbstractCi</code>.</p>

Parameters

<p><code>mlr3::Measure</code> -&gt; <code>mlr3inferr::MeasureAbstractCi</code> -&gt; <code>MeasureCiCorrectedT</code></p>

Super classes


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/MeasureCiCorrectedT%24new()?package=mlr3inferr&version=0.2.1" data-mini-rdoc="mlr3inferr::MeasureCiCorrectedT$new()"><code>MeasureCiCorrectedT$new()</code></a></p></li>
<li><p><a href="/link/MeasureCiCorrectedT%24clone()?package=mlr3inferr&version=0.2.1" data-mini-rdoc="mlr3inferr::MeasureCiCorrectedT$clone()"><code>MeasureCiCorrectedT$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="mlr3" data-topic="Measure" data-id="format"><a href="/link/mlr3%3A%3AMeasure%24format()?package=mlr3inferr&version=0.2.1" data-mini-rdoc="mlr3inferr::mlr3::Measure$format()"><code>mlr3::Measure$format()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3" data-topic="Measure" data-id="help"><a href="/link/mlr3%3A%3AMeasure%24help()?package=mlr3inferr&version=0.2.1" data-mini-rdoc="mlr3inferr::mlr3::Measure$help()"><code>mlr3::Measure$help()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3" data-topic="Measure" data-id="print"><a href="/link/mlr3%3A%3AMeasure%24print()?package=mlr3inferr&version=0.2.1" data-mini-rdoc="mlr3inferr::mlr3::Measure$print()"><code>mlr3::Measure$print()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3" data-topic="Measure" data-id="score"><a href="/link/mlr3%3A%3AMeasure%24score()?package=mlr3inferr&version=0.2.1" data-mini-rdoc="mlr3inferr::mlr3::Measure$score()"><code>mlr3::Measure$score()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3inferr" data-topic="MeasureAbstractCi" data-id="aggregate"><a href="/link/mlr3inferr%3A%3AMeasureAbstractCi%24aggregate()?package=mlr3inferr&version=0.2.1" data-mini-rdoc="mlr3inferr::mlr3inferr::MeasureAbstractCi$aggregate()"><code>mlr3inferr::MeasureAbstractCi$aggregate()</code></a></span></li>
</ul>
</details></p><p><hr>
<a id="method-MeasureCiCorrectedT-new"></a></p><div class="section" id="method-new-">
<h3>Method <code>new()</code></h3>
<p>Creates a new instance of this <a href="https://r6.r-lib.org/reference/R6Class.html">R6</a> class.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>MeasureCiCorrectedT$new(measure)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>measure</code></dt>
<dd><p>(<code>Measure</code> or <code>character(1)</code>)<br>
A measure of ID of a measure.</p></dd></dl></div></p><p>
</p><p></p>
<p></p><p></p><p><hr>
<a id="method-MeasureCiCorrectedT-clone"></a></p><div class="section" id="method-clone-">
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>MeasureCiCorrectedT$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

Corrected-T CI — mlr_measures_ci.cor_t



<p>Only those from <code>MeasureAbstractCi</code>.</p>


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

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

</div><p><details open><summary>Inherited methods</summary>
<ul>
<li><span class="pkg-link" data-pkg="mlr3" data-topic="Measure" data-id="format"><a href='../../mlr3/html/Measure.html#method-Measure-format'><code>mlr3::Measure$format()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3" data-topic="Measure" data-id="help"><a href='../../mlr3/html/Measure.html#method-Measure-help'><code>mlr3::Measure$help()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3" data-topic="Measure" data-id="print"><a href='../../mlr3/html/Measure.html#method-Measure-print'><code>mlr3::Measure$print()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3" data-topic="Measure" data-id="score"><a href='../../mlr3/html/Measure.html#method-Measure-score'><code>mlr3::Measure$score()</code></a></span></li>
<li><span class="pkg-link" data-pkg="mlr3inferr" data-topic="MeasureAbstractCi" data-id="aggregate"><a href='../../mlr3inferr/html/MeasureAbstractCi.html#method-MeasureAbstractCi-aggregate'><code>mlr3inferr::MeasureAbstractCi$aggregate()</code></a></span></li>
</ul>
</details>

<hr>
<a id="method-MeasureCiCorrectedT-new"></a></p><div class='section' id='method-new-'>
<h3>Method <code>new()</code></h3>
<p>Creates a new instance of this <a href='https://r6.r-lib.org/reference/R6Class.html'>R6</a> class.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>MeasureCiCorrectedT$new(measure)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>measure</code></dt>
<dd><p>(<code>Measure</code> or <code>character(1)</code>)<br />
A measure of ID of a measure.</p></dd>


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

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


mlr_measures_ci.cor_t: Corrected-T CI

Description

Arguments

Parameters

Super classes

Methods

Public methods

Method `new()`

Usage

Arguments

Method `clone()`

Usage

Arguments

References

Examples

Description

Arguments

Parameters

Super classes

Methods

Public methods

Method new()

Usage

Arguments

Method clone()

Usage

Arguments

References

Examples

Method `new()`

Method `clone()`