chds: chds Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

chds Bayesian Network

Description

Refining a Bayesian network using a chain event graph.

Format

A discrete Bayesian network looking at the effect the family’s social background, the economic status and the number of family life events have on the child’s health which is measured by rates of hospital admission. The Bayesian network is learned as in the referenced paper. The vertices are:

Social

Social background (High, Low);

Economic

Economic status (High, Low);

Events

Number of life events (High, Average, Low);

Admission

Rate of hospital admissions (Yes, No);

Value

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

References

Barclay, L. M., Hutton, J. L., & Smith, J. Q. (2013). Refining a Bayesian network using a chain event graph. International Journal of Approximate Reasoning, 54(9), 1300-1309.

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