expenditure {bnRep} | R Documentation |
expenditure Bayesian Network
Description
The FEDHC Bayesian network learning algorithm.
Format
A Gaussian Bayesian network modeling the monthly credit card expenditure of individuals. The code to learn the Bayesian network was given within the referenced paper (Figure 12.c). The vertices are:
- Card
Whether the application for a credit card was accepted or not;
- Reports
The number of major derogatory reports;
- Age
The age in years plus twelfths of a year;
- Income
The yearly income in $10,000s;
- Share
The ratio of monthly credit card expenditure to yearly income;
- Expenditure
The average monthly credit card expenditure;
- Owner
Whether the person owns their home or they rent;
- Selfemp
Whether the person is self employed or not;
- Dependents
The number of dependents + 1;
- Months
The number of months living at current address;
- Majorcards
The number of major credit cards held;
- Active
The number of active credit accounts.
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Tsagris, M. (2022). The FEDHC Bayesian network learning algorithm. Mathematics, 10(15), 2604.