Uses of Package
de.jstacs.sampling

Packages that use de.jstacs.sampling

Package	Description
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingDifferentiableStatisticalModels and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.sampling	This package contains many classes that can be used while a sampling.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous	This package contains various inhomogeneous models.
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models	The package provides different implementations of hidden Markov models based on AbstractHMM.
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states	The package provides all interfaces and classes for states used in hidden Markov models.
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training	The package provides all classes used to determine the training algorithm of a hidden Markov model.
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions	The package provides all interfaces and classes for transitions used in hidden Markov models.
de.jstacs.sequenceScores.statisticalModels.trainable.mixture	This package is the super package for any mixture model.
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Classes in de.jstacs.sampling used by de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Class and Description
BurnInTest This is the abstract super class for any test of the length of the burn-in phase.
SamplingComponent This interface defines methods that are used during a sampling.

Classes in de.jstacs.sampling used by de.jstacs.sampling

Class and Description
AbstractBurnInTest This abstract class implements some of the methods of BurnInTest to alleviate the implementation of efficient and new burn-in tests.
AbstractBurnInTestParameterSet Class for the parameters of a AbstractBurnInTest.
BurnInTest This is the abstract super class for any test of the length of the burn-in phase.
SamplingComponent This interface defines methods that are used during a sampling.
SimpleBurnInTest Deprecated. since this burn test ignore the data coming from the sampling, it might be problematic to use this test
VarianceRatioBurnInTestParameterSet Class for the parameters of a VarianceRatioBurnInTest.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

Class and Description
GibbsSamplingModel This is the interface that any AbstractTrainableStatisticalModel has to implement if it should be used in a sampling.
SamplingComponent This interface defines methods that are used during a sampling.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models

Class and Description
BurnInTest This is the abstract super class for any test of the length of the burn-in phase.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states

Class and Description
SamplingComponent This interface defines methods that are used during a sampling.
SamplingFromStatistic This is the interface for sampling based on a sufficient statistic.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions

Class and Description
SamplingComponent This interface defines methods that are used during a sampling.
SamplingFromStatistic This is the interface for sampling based on a sufficient statistic.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete

Class and Description
SamplingComponent This interface defines methods that are used during a sampling.
SamplingFromStatistic This is the interface for sampling based on a sufficient statistic.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training

Class and Description
AbstractBurnInTest This abstract class implements some of the methods of BurnInTest to alleviate the implementation of efficient and new burn-in tests.
AbstractBurnInTestParameterSet Class for the parameters of a AbstractBurnInTest.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions

Class and Description
SamplingComponent This interface defines methods that are used during a sampling.
SamplingFromStatistic This is the interface for sampling based on a sufficient statistic.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.mixture

Class and Description
BurnInTest This is the abstract super class for any test of the length of the burn-in phase.

Classes in de.jstacs.sampling used by de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Class and Description
BurnInTest This is the abstract super class for any test of the length of the burn-in phase.