foodallergy1

Prevalence of self-reported food allergy in Tunisia: General trends and probabilistic modeling.

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

foodallergy1 function

A discrete Bayesian network to to estimate conditional probabilities of each food allergy when other food allergies are present (full population). Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>Cereals</dt>
<dd>(T, F);</dd><dt>Eggs</dt>
<dd>(T, F);</dd><dt>Fruits</dt>
<dd>(T, F);</dd><dt>Milk</dt>
<dd>(T, F);</dd><dt>Nuts</dt>
<dd>(T, F);</dd><dt>Peanuts</dt>
<dd>(T, F);</dd><dt>Seafood</dt>
<dd>(T, F);</dd><dt>Veg_Leg</dt>
<dd>(T, F);</dd>
</dl>

Format

foodallergy Bayesian Networks — foodallergy1

A discrete Bayesian network to to estimate conditional probabilities of each food allergy when other food allergies are present (full population). Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>Cereals</dt>
<dd>(T, F);</dd>

<dt>Eggs</dt>
<dd>(T, F);</dd>

<dt>Fruits</dt>
<dd>(T, F);</dd>

<dt>Milk</dt>
<dd>(T, F);</dd>

<dt>Nuts</dt>
<dd>(T, F);</dd>

<dt>Peanuts</dt>
<dd>(T, F);</dd>

<dt>Seafood</dt>
<dd>(T, F);</dd>

<dt>Veg_Leg</dt>
<dd>(T, F);</dd>


</dl>

foodallergy1: foodallergy Bayesian Networks

Description

Arguments

Value

Format

References