crimescene

How did the DNA of a suspect get to the crime scene? A practical study in DNA transfer during lock-picking.

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

crimescene function

A discrete Bayesian network to study DNA transfer during lock-picking. Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>Hypothesis</dt>
<dd>(Prosecutor, Defense);</dd><dt>SuspectCutTheFoil</dt>
<dd>(Yes, No);</dd><dt>SuspectDNAOnFoilFromCutting</dt>
<dd>(Yes, No);</dd><dt>SuspectDNAOnFoilFromPicking</dt>
<dd>(Yes, No);</dd><dt>SuspectPickedLock</dt>
<dd>(Yes, No);</dd><dt>UnknownPickedLock</dt>
<dd>(Yes, No);</dd><dt>UnknownCutTheFoil</dt>
<dd>(Yes, No);</dd><dt>UnknownDNAOnFoil</dt>
<dd>(Yes, No);</dd><dt>DNAFoundOnFoil</dt>
<dd>(Suspect DNA On Foil, Suspect And Unknown DNA On Foil, Unknown DNA On Foil, No DNA On Foil);</dd>
</dl>

crimescene: crimescene Bayesian Network

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