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bnRep (version 0.0.3)

expenditure: expenditure Bayesian Network

Description

The FEDHC Bayesian network learning algorithm.

Arguments

Value

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

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.

References

Tsagris, M. (2022). The FEDHC Bayesian network learning algorithm. Mathematics, 10(15), 2604.