cachexia2: cachexia Bayesian Networks

cachexia2R Documentation

cachexia Bayesian Networks

Description

Model-preserving sensitivity analysis for families of Gaussian distributions.

Format

A Gaussian Bayesian networks comparing the dependence of metabolomics for people who do not suffer of Cachexia. The Bayesian network is learned as in the referenced paper. The vertices are:

A

Adipate;

B

Betaine;

F

Fumarate;

GC

Glucose;

GM

Glutamine;

V

Valine;

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Gorgen, C., & Leonelli, M. (2020). Model-preserving sensitivity analysis for families of Gaussian distributions. Journal of Machine Learning Research, 21(84), 1-32.


bnRep documentation built on April 12, 2025, 1:13 a.m.