imports_mcmodule

A list containing simulation results for pathogen testing of animal imports
from different origins, including:<ul>
<li>Within-herd prevalence (w_prev)</li>
<li>Test sensitivity (test_sensi)</li>
<li>Test origin probability (test_origin)</li>
<li>Infection probability (inf_a)</li>
<li>False negative probability (false_neg_a)</li>
<li>No test probability (no_test_a)</li>
<li>Non-detection probability (no_detect_a)</li>
</ul>

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

imports_mcmodule function

An mcmodule object with the following components:<dl>
<dt>data</dt>
<dd>Input data frame with 6 rows and 13 variables</dd><dt>exp</dt>
<dd>Model expressions for calculating probabilities</dd><dt>node_list</dt>
<dd>List of Monte Carlo nodes with simulation results</dd><dt>modules</dt>
<dd>Character vector of module names</dd>
</dl>

Format

Example mcmodule object containing Monte Carlo simulation results Animal Imports Risk Assessment — imports_mcmodule

An mcmodule object with the following components:<dl>
<dt>data</dt>
<dd>Input data frame with 6 rows and 13 variables</dd>

<dt>exp</dt>
<dd>Model expressions for calculating probabilities</dd>

<dt>node_list</dt>
<dd>List of Monte Carlo nodes with simulation results</dd>

<dt>modules</dt>
<dd>Character vector of module names</dd>


</dl>

imports_mcmodule: Example mcmodule object containing Monte Carlo simulation results Animal Imports Risk Assessment

Description

Usage

Arguments

Format