BayesianNetworkDiffSM
.See: Description
Class  Description 

InhomogeneousMarkov 
Class for a network structure of a
BayesianNetworkDiffSM
that is an inhomogeneous Markov model. 
InhomogeneousMarkov.InhomogeneousMarkovParameterSet 
Class for an
InstanceParameterSet that defines the parameters of
an InhomogeneousMarkov structure Measure . 
Measure 
Class for structure measures that derive an optimal structure with respect to
some criterion within a class of possible structures from data.

Measure.MeasureParameterSet 
This class is the super class of any
ParameterSet that can be used to instantiate a Measure . 
BayesianNetworkDiffSM
.
The base is the Measure
interface. Implementations of the interface can be found in the subpackages.
An implementation of an inhomogeneous Markov model, which does not require "real" structure learning, is provided
with the class InhomogeneousMarkov
.
de.jstacs.parameters