test_sensitivity

A dataset containing test sensitivity values for two pathogens

datasets

Framework for building modular Monte Carlo risk analysis models. It extends the capabilities of 'mc2d' to facilitate working with multiple risk pathways, variates and scenarios. It provides tools to organize risk analysis in independent flexible modules, perform multivariate Monte Carlo node operations, automate the creation of Monte Carlo nodes and visualize risk analysis models. For more details see Ciria (2025) <https://nataliaciria.github.io/mcmodule/articles/mcmodule>.

Natalia Ciria

mcmodule

Modular Monte Carlo Risk Analysis

Alberto Allepuz

Giovanna Ciaravino

test_sensitivity function

<div class="section" id="test-sensitivity">
<h3>test_sensitivity</h3>
A data frame with 2 rows and 4 columns:<dl>
<dt>pathogen</dt>
<dd>Pathogen identifier (a or b)</dd><dt>test_sensi_min</dt>
<dd>Minimum test sensitivity value</dd><dt>test_sensi_mode</dt>
<dd>Most likely test sensitivity value</dd><dt>test_sensi_max</dt>
<dd>Maximum test sensitivity value</dd>
</dl></div>

Format

Test Sensitivity Data — test_sensitivity

<div class='section' id='test-sensitivity'>
<h3>test_sensitivity</h3>


A data frame with 2 rows and 4 columns:<dl>
<dt>pathogen</dt>
<dd>Pathogen identifier (a or b)</dd>

<dt>test_sensi_min</dt>
<dd>Minimum test sensitivity value</dd>

<dt>test_sensi_mode</dt>
<dd>Most likely test sensitivity value</dd>

<dt>test_sensi_max</dt>
<dd>Maximum test sensitivity value</dd>


</dl>

</div>

test_sensitivity: Test Sensitivity Data

Description

Usage

Arguments

Format

test_sensitivity