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## Uses of Class
de.jstacs.models.discrete.inhomogeneous.InhomogeneousDGM

Packages that use InhomogeneousDGM
de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models.
de.jstacs.models.discrete.inhomogeneous.parameters |
de.jstacs.models.mixture.gibbssampling | This package contains many classes that can be used while a Gibbs sampling.

Uses of InhomogeneousDGM in de.jstacs.models.discrete.inhomogeneous

Subclasses of InhomogeneousDGM in de.jstacs.models.discrete.inhomogeneous
`class` | `BayesianNetworkModel` The class implements a Bayesian network ( `StructureLearner.ModelType.BN` ) of fixed order.
`class` | `DAGModel` The abstract class for directed acyclic graphical models (`DAGModel`).
`class` | `FSDAGModel` This class can be used for any discrete fixed structure directed acyclic graphical model ( `FSDAGModel`).

Methods in de.jstacs.models.discrete.inhomogeneous that return InhomogeneousDGM
`InhomogeneousDGM` | `InhomogeneousDGM.clone()`

Uses of InhomogeneousDGM in de.jstacs.models.discrete.inhomogeneous.parameters

Constructor parameters in de.jstacs.models.discrete.inhomogeneous.parameters with type arguments of type InhomogeneousDGM
`IDGMParameterSet(Class<? extends InhomogeneousDGM> instanceClass)` This constructor creates an empty `IDGMParameterSet` instance from the class that can be instantiated using this `IDGMParameterSet`.
`IDGMParameterSet(Class<? extends InhomogeneousDGM> instanceClass, AlphabetContainer alphabet, int length, double ess, String description)` This constructor creates an `IDGMParameterSet` instance for the specified class.

Uses of InhomogeneousDGM in de.jstacs.models.mixture.gibbssampling

Subclasses of InhomogeneousDGM in de.jstacs.models.mixture.gibbssampling
`class` | `FSDAGModelForGibbsSampling` This is the class for a fixed structure directed acyclic graphical model (see `FSDAGModel`) that can be used in a Gibbs sampling.

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