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.