fundraising

A coupled mathematical model of the dissemination route of short-term fund-raising fraud.

A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2025) <doi:10.1016/j.neucom.2025.129502>.

Manuele Leonelli

bnRep

A Repository of Bayesian Networks from the Academic Literature

fundraising function

A discrete Bayesian network to analyze the dissemination, identification, and causation of fund-raising fraud. Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>FailureInvest</dt>
<dd>(Yes, No);</dd><dt>FinancialFraud</dt>
<dd>(Yes, No);</dd><dt>LackAwareness</dt>
<dd>(Yes, No);</dd><dt>LackKnowledge</dt>
<dd>(Yes, No);</dd><dt>LackRegulation</dt>
<dd>(Yes, No);</dd><dt>OverTrust</dt>
<dd>(Yes, No);</dd><dt>PatsyInvestment</dt>
<dd>(Yes, No);</dd><dt>PromotionalMessages</dt>
<dd>(Yes, No);</dd>
</dl>@return An object of class <code>bn.fit</code>. Refer to the documentation of <code>bnlearn</code> for details.

fundraising: fundraising Bayesian Network

Description

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References