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## 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 `Model`s.
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`

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