Jeffreys returns the Jeffreys divergence between a continuous 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 Jefrreys is applied to.