bank

Structural learning of simple staged trees.

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

bank function

A discrete Bayesian network to model whether customers subscribe to a product after being contacted by direct marketing campaigns of a Portuguese banking institution. The Bayesian network is learned via data as stated in the paper. The vertices are:<dl>
<dt>marital</dt>
<dd>Marital status (divorced, married, single, unknown);</dd><dt>education</dt>
<dd>Education (no_uni, uni);</dd><dt>contact</dt>
<dd>Type of direct marketing contact (cellular, telephone);</dd><dt>subscription</dt>
<dd>(no, yes);</dd>
</dl>

Format

bank Bayesian Network — bank

A discrete Bayesian network to model whether customers subscribe to a product after being contacted by direct marketing campaigns of a Portuguese banking institution. The Bayesian network is learned via data as stated in the paper. The vertices are:<dl>
<dt>marital</dt>
<dd>Marital status (divorced, married, single, unknown);</dd>

<dt>education</dt>
<dd>Education (no_uni, uni);</dd>

<dt>contact</dt>
<dd>Type of direct marketing contact (cellular, telephone);</dd>

<dt>subscription</dt>
<dd>(no, yes);</dd>


</dl>

bank: bank Bayesian Network

Description

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Value

Format

References