titanic

The R Package stagedtrees for Structural Learning of Stratified 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

titanic function

A discrete Bayesian network modeling the survival of the Titanic passengers. The Bayesian network was learned as in the referenced paper. The vertices are:<dl>
<dt>Class</dt>
<dd>(1st, 2nd, 3rd, Crew);</dd><dt>Sex</dt>
<dd>(Male, Female);</dd><dt>Age</dt>
<dd>(Child, Adult);</dd><dt>Survived</dt>
<dd>(No, Yes).</dd>
</dl>

titanic: titanic Bayesian Network

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