chds {bnmonitor}R Documentation

Christchurch Health and Development Study


Simulated data and Bayesian networks from the Christchurch Health and Development Study





The dataframe chds includes 500 observations randomly simulated from the object It has four variables:

chds_bn is an object of class bn including the MAP Bayesian network from Barclay et al. (2013) and is an object of class 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 (inherits from of length 4.


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.

[Package bnmonitor version 0.1.4 Index]