expenditure: expenditure Bayesian Network

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

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.

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