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## Uses of Package
de.jstacs.sampling

Packages that use de.jstacs.sampling
de.jstacs.classifier.scoringFunctionBased.sampling | Provides the classes for `AbstractScoreBasedClassifier`s that are based on `SamplingScoringFunction`s and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models.
de.jstacs.models.hmm.models | The package provides different implementations of hidden Markov models based on `AbstractHMM`
de.jstacs.models.hmm.states | The package provides all interfaces and classes for states used in hidden Markov models.
de.jstacs.models.hmm.states.emissions |
de.jstacs.models.hmm.states.emissions.discrete |
de.jstacs.models.hmm.training | The package provides all classes used to determine the training algorithm of a hidden Markov model
de.jstacs.models.hmm.transitions | The package provides all interfaces and classes for transitions used in hidden Markov models.
de.jstacs.models.mixture | This package is the super package for any mixture model.
de.jstacs.models.mixture.motif |
de.jstacs.sampling | This package contains many classes that can be used while a sampling.

Classes in de.jstacs.sampling used by de.jstacs.classifier.scoringFunctionBased.sampling
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.models.discrete.inhomogeneous
GibbsSamplingModel This is the interface that any `AbstractModel` 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.models.hmm.models
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.models.hmm.states
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.models.hmm.states.emissions
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.models.hmm.states.emissions.discrete
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.models.hmm.training
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.models.hmm.transitions
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.models.mixture
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.models.mixture.motif
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.sampling
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.
VarianceRatioBurnInTestParameterSet Class for the parameters of a `VarianceRatioBurnInTest`.

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