create_mcnodes

Creates Monte Carlo nodes (mcnodes) based on instructions provided in a configuration
table (mctable) and input variables from a dataframe.

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

create_mcnodes function

<dl><dt>data</dt>
<dd>A data frame containing the input variables for creating Monte Carlo nodes</dd>
<dt>mctable</dt>
<dd>A configuration table specifying MC node definitions. Must contain columns:<ul>
<li>mcnode: Name of the Monte Carlo node</li>
<li>mc_func: Distribution function to use (if applicable)</li>
<li>transformation: Optional transformation to apply to input data</li>
<li>from_variable: Optional source variable name for transformation</li>
</ul></dd>
<dt>envir</dt>
<dd>Environment where MC nodes will be created (default: parent.frame())</dd></dl>

Arguments

Create Monte Carlo Nodes from Data and Configuration Table — create_mcnodes

<dl>

<dt>data</dt>
<dd>A data frame containing the input variables for creating Monte Carlo nodes</dd>


<dt>mctable</dt>
<dd>A configuration table specifying MC node definitions. Must contain columns:<ul>
<li>mcnode: Name of the Monte Carlo node</li>
<li>mc_func: Distribution function to use (if applicable)</li>
<li>transformation: Optional transformation to apply to input data</li>
<li>from_variable: Optional source variable name for transformation</li>
</ul></dd>


<dt>envir</dt>
<dd>Environment where MC nodes will be created (default: parent.frame())</dd>

</dl>

create_mcnodes: Create Monte Carlo Nodes from Data and Configuration Table

Description

Usage

Value

Arguments

Examples