chds {bnRep} | R Documentation |
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.
[Package bnRep version 0.0.1 Index]