This is a model selection routine that finds a network in a set of networks using the BIC criteria.
The number of samples used for estimating
The function returns the network with maximal BIC value from a list of networks
as obtained from one of the search-functions
The formula used for the BIC is
log(Likelihood) - 0.5*Complexity*log(numNodes).
catNetwork object with optimal BIC value.
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