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KL returns the Kullback-Leibler (KL) divergence between a Bayesian network and its update after parameter variation.

Usage

KL(x, ...)

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.