income {bnRep} | R Documentation |
income Bayesian Network
Description
The FEDHC Bayesian network learning algorithm.
Format
A discrete Bayesian network modeling the factors affecting the income of individuals. The code to learn the Bayesian network was given within the referenced paper (Figure 13.c) The vertices are:
- Income
(0-40'000, 40'000+);
- Sex
(male, female);
- Marriage
(married, cohabitation, divorced, widowed, single);
- Age
(14-34, 35+);
- Education
(college graduate, no college graduate);
- Occupation
(professional/managerial, sales, laborer, clerical/service, homemaker, student, military, retired, unemployed);
- Bay
Number of years in bay area (1-9, 10+);
- No of people
Number of people living in the house (1, 2+);
- Children
(0, 1+);
- Rent
(own, rent, live with parents/family);
- Type
(house, condominuim, apartment, mobile home, other);
- Ethnicity
(American Indian, Asian, black, east Indian, hispanic, white, pacific islander, other);
- Language
(english, spanish, other);
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.