imports_mctable

A configured table of Monte Carlo nodes used for modeling import risk scenarios,
particularly focused on animal disease transmission pathways.

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 visualise risk analysis models. For more details see Ciria (2025) <https://nataliaciria.com/mcmodule/>.

Natalia Ciria

mcmodule

Modular Monte Carlo Risk Analysis

Alberto Allepuz

Giovanna Ciaravino

imports_mctable function

<div class="section" id="imports-mctable">
<h3>imports_mctable</h3>
A data frame with 7 rows and 7 columns:<dl>
<dt>mcnode</dt>
<dd>Node identifier used in Monte Carlo simulations</dd><dt>description</dt>
<dd>Human-readable description of what the node represents</dd><dt>mc_func</dt>
<dd>R function used for random number generation (e.g., runif, rnorm, rpert)</dd><dt>from_variable</dt>
<dd>Dependency reference to other variables if applicable</dd><dt>transformation</dt>
<dd>Mathematical transformations applied to the node values</dd><dt>sensi_baseline</dt>
<dd>Parameters for baseline mock distribution without uncertainty</dd><dt>sensi_variation</dt>
<dd>OAT variation expression using 'value' placeholder</dd>
</dl></div>

Format

Example Monte Carlo Input Table for Import Risk Assessment — imports_mctable

<div class='section' id='imports-mctable'>
<h3>imports_mctable</h3>


A data frame with 7 rows and 7 columns:<dl>
<dt>mcnode</dt>
<dd>Node identifier used in Monte Carlo simulations</dd>

<dt>description</dt>
<dd>Human-readable description of what the node represents</dd>

<dt>mc_func</dt>
<dd>R function used for random number generation (e.g., runif, rnorm, rpert)</dd>

<dt>from_variable</dt>
<dd>Dependency reference to other variables if applicable</dd>

<dt>transformation</dt>
<dd>Mathematical transformations applied to the node values</dd>

<dt>sensi_baseline</dt>
<dd>Parameters for baseline mock distribution without uncertainty</dd>

<dt>sensi_variation</dt>
<dd>OAT variation expression using 'value' placeholder</dd>


</dl>

</div>

imports_mctable: Example Monte Carlo Input Table for Import Risk Assessment

Description

Usage

Arguments

Format

imports_mctable