Simulated data and Bayesian networks from the Christchurch Health and Development Study
Format
The dataframe chds includes 500 observations randomly simulated from the bn.fit object chds_bn.fit. It has four variables:
Social: family's social background with levels
"High"and"Low"Economic: family's economic status with levels
"High"and"Low"Events: number of family life events with levels
"High","Average"and"Low"Admission: hospital admission of the child with levels
"yes"and"no"statistics: mark out of 100 for statistics
chds_bn is an object of class bn including the MAP Bayesian network from Barclay et al. (2013) and chds_bn.fit is an object of class bn.fit including the probabilities from the same article.
An object of class data.frame with 500 rows and 4 columns.
An object of class bn of length 3.
An object of class bn.fit (inherits from bn.fit.dnet) of length 4.
References
Fergusson, D. M., Horwood, L. J., & Shannon, F. T. (1986). Social and family factors in childhood hospital admission. Journal of Epidemiology & Community Health, 40(1), 50-58.
Barclay, L. M., Hutton, J. L., & Smith, J. Q. (2013). Refining a Bayesian network using a chain event graph. International Journal of Approximate Reasoning, 54(9), 1300-1309.