cachexia1

Model-preserving sensitivity analysis for families of Gaussian distributions.

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

cachexia1 function

A Gaussian Bayesian networks comparing the dependence of metabolomics for people who suffer of Cachexia. The Bayesian network is learned as in the referenced paper. The vertices are:<dl>
<dt>A</dt>
<dd>Adipate;</dd><dt>B</dt>
<dd>Betaine;</dd><dt>F</dt>
<dd>Fumarate;</dd><dt>GC</dt>
<dd>Glucose;</dd><dt>GM</dt>
<dd>Glutamine;</dd><dt>V</dt>
<dd>Valine;</dd>
</dl>

Format

cachexia Bayesian Networks — cachexia1

A Gaussian Bayesian networks comparing the dependence of metabolomics for people who suffer of Cachexia. The Bayesian network is learned as in the referenced paper. The vertices are:<dl>
<dt>A</dt>
<dd>Adipate;</dd>

<dt>B</dt>
<dd>Betaine;</dd>

<dt>F</dt>
<dd>Fumarate;</dd>

<dt>GC</dt>
<dd>Glucose;</dd>

<dt>GM</dt>
<dd>Glutamine;</dd>

<dt>V</dt>
<dd>Valine;</dd>


</dl>

cachexia1: cachexia Bayesian Networks

Description

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References