burglar

Strategies for selecting and evaluating information.

NaiveBayes

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

burglar function

A discrete Bayesian network modeling a simple burglary scenario (Model 1, Table 2). The network was available from an associated repository. The vertices are:<dl>
<dt>Burglar</dt>
<dd>(Suspect 1, Suspect 2, Suspect3);</dd><dt>PrimaryItemStolen</dt>
<dd>(Jewellery, Electronics, Money);</dd><dt>BurglaryTime</dt>
<dd>(Day, Night);</dd>
</dl>

Format

burglar Bayesian Network — burglar

A discrete Bayesian network modeling a simple burglary scenario (Model 1, Table 2). The network was available from an associated repository. The vertices are:<dl>
<dt>Burglar</dt>
<dd>(Suspect 1, Suspect 2, Suspect3);</dd>

<dt>PrimaryItemStolen</dt>
<dd>(Jewellery, Electronics, Money);</dd>

<dt>BurglaryTime</dt>
<dd>(Day, Night);</dd>


</dl>

burglar: burglar Bayesian Network

Description

Arguments

Value

Format

References