KL returns the Kullback-Leibler (KL) divergence between a Bayesian network and its update after parameter variation.
Arguments
- x
object of class bn.fit, GBN or CI.
- ...
parameters specific to the class used.
Value
A dataframe whose columns depend of the class of the object.
Details
The details depend on the class the method KL is applied to.