mars_domain_score

This function fits a MARS (Multivariate Adaptive Regression Splines) model to
the provided data and computes a domain applicability score based on PCA distances.

Provides methods for assessing the applicability domain of models that predict viral load and CD4 (Cluster of Differentiation 4) lymphocyte counts. These methods help determine the extent of extrapolation when making predictions.

Juan Pablo Acuña González

viraldomain

Applicability Domain Methods of Viral Load and CD4 Lymphocytes

mars_domain_score function

<dl><dt>featured_col</dt>
<dd>The name of the featured column.</dd>
<dt>train_data</dt>
<dd>A data frame containing the training data.</dd>
<dt>mars_hyperparameters</dt>
<dd>A list of hyperparameters for the MARS model, including:<ul>
<li><code>num_terms</code>: The number of terms to include in the MARS model.</li>
<li><code>prod_degree</code>: The degree of interaction terms to include.</li>
<li><code>prune_method</code>: The method used for pruning the MARS model.</li>
</ul></dd>
<dt>test_data</dt>
<dd>A data frame containing the test data.</dd>
<dt>threshold_value</dt>
<dd>The threshold value for the domain score.</dd></dl>

Arguments

Calculate the MARS model domain applicability score — mars_domain_score

<dl>

<dt>featured_col</dt>
<dd>The name of the featured column.</dd>


<dt>train_data</dt>
<dd>A data frame containing the training data.</dd>


<dt>mars_hyperparameters</dt>
<dd>A list of hyperparameters for the MARS model, including:<ul>
<li><code>num_terms</code>: The number of terms to include in the MARS model.</li>
<li><code>prod_degree</code>: The degree of interaction terms to include.</li>
<li><code>prune_method</code>: The method used for pruning the MARS model.</li>
</ul></dd>


<dt>test_data</dt>
<dd>A data frame containing the test data.</dd>


<dt>threshold_value</dt>
<dd>The threshold value for the domain score.</dd>

</dl>

mars_domain_score: Calculate the MARS model domain applicability score

Description

Usage

Value

Arguments

Examples