The FEDHC Bayesian network learning algorithm.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
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:
(0-40'000, 40'000+);
(male, female);
(married, cohabitation, divorced, widowed, single);
(14-34, 35+);
(college graduate, no college graduate);
(professional/managerial, sales, laborer, clerical/service, homemaker, student, military, retired, unemployed);
Number of years in bay area (1-9, 10+);
Number of people living in the house (1, 2+);
(0, 1+);
(own, rent, live with parents/family);
(house, condominuim, apartment, mobile home, other);
(American Indian, Asian, black, east Indian, hispanic, white, pacific islander, other);
(english, spanish, other);
Tsagris, M. (2022). The FEDHC Bayesian network learning algorithm. Mathematics, 10(15), 2604.