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See:
Description
Class Summary | |
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AbstractMixtureModel | This is the abstract class for all kinds of mixture models. |
MixtureModel | 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 backward strand. |
Enum Summary | |
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AbstractMixtureModel.Algorithm | This enum defines the different types of algorithms that can be used in a AbstractMixtureModel |
AbstractMixtureModel.Parameterization | This enum defines the different types of parameterization for a probability that can be used in an AbstractMixtureModel . |
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.
AbstractModel
,
AbstractMixtureModel
,
GibbsSamplingComponent
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