catNetworkDistance-class: Class "catNetworkDistance"
In sdnet: Soft-Discretization-Based Bayesian Network Inference

This class contains a list of catNetworks and it is the output format of cnEvaluate function

See in the manual of cnCompare function for description of different distance criteria.

hamm:: an integer, the hamming distance between the parent matrices of the found networks and the original network.
hammexp:: an integer, the hamming distance between the exponents of the parent matrices.
tp:: an integer, the number of true positives directed edges.
fp:: an integer, the number of false positives directed edges.
fn:: an integer, the number of false negatives directed edges.
pr:: a numeric, precision.
sp:: a numeric, specificity.
sn:: a numeric, sensitivity(recall).
fscore:: a numeric, the F-score.
skel.tp:: an integer, the number of true positives undirected edges.
skel.fp:: an integer, the number of false positives undirected edges.
skel.fn:: an integer, the number of false negatives undirected edges.
order.fp:: an integer, the number of false positive order relations.
order.fn:: an integer, the number of false negative order relations.
markov.fp:: an integer, the number of false positive Markov pairs.
markov.fn:: an integer, the number of false negative Markov pairs.
KLdist:: a numerical, the KL distance, currently inactive.