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## Uses of Package
de.jstacs.sampling

Packages that use de.jstacs.sampling
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling | Provides the classes for `AbstractScoreBasedClassifier`s that are based on `SamplingDifferentiableStatisticalModel`s 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
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
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
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
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
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
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
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
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
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
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
BurnInTest This is the abstract super class for any test of the length of the burn-in phase.

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