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

income

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);