Compare two models by the difference of two dic objects.
dic1 - dic2
diffdic(dic1, dic2)Objects inheriting from class ``dic''
An object of class ``diffdic''. This is a numeric vector with an element for each observed stochastic node in the model.
The diffdic class has its own print method, which will
display the sum of the differences, and its sample standard
deviation.
A diffdic object represents the difference in penalized
deviance between two models. A negative value indicates that
dic1 is preferred and vice versa.
Ripley, B. (1996) Statistical Pattern Recognition and Neural Networks. Cambridge University Press.
Plummer, M. (2008) Penalized loss functions for Bayesian model comparison. Biostatistics doi: 10.1093/biostatistics/kxm049