Description Usage Arguments Value
Model averaging results, of the class "bn.learn" provide estimates of the probabilities the true network structure includes a given edge. This function calculates information entropy on those estimates. Entropy for each edge is calculated, then the average over all edges in the model averaging results is return. mean averaging entropy.
1 | edge_entropy(strength, presence_only = FALSE)
|
strength |
The results of model averaging, class bn.strength,
see functions |
presence_only |
calculate entropy only for edge presence (either direction), |
a modified data frame with the entropy added as a column.
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