Package de.jstacs.models.mixture

This package is the super package for any mixture model.

See:
Description

Class Summary

AbstractMixtureModel	This is the abstract class for all kinds of mixture models.
MixtureModel	The class for a mixture model of any Models.
StrandModel	This model handles sequences that can either lie on the forward strand or on the reverse complementary strand.

Enum Summary

AbstractMixtureModel.Algorithm	This enum defines the different types of algorithms that can be used in an AbstractMixtureModel.
AbstractMixtureModel.Parameterization	This enum defines the different types of parameterization for a probability that can be used in an AbstractMixtureModel.

Package de.jstacs.models.mixture Description

This package is the super package for any mixture model. The most interesting class of this package is the AbstractMixtureModel. This class currently enables to train the model using EM or Gibbs Sampling. All mixtures of Models should be extensions of AbstractMixtureModel.

See Also:

AbstractModel, AbstractMixtureModel, SamplingComponent