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## Package de.jstacs.sampling

This package contains many classes that can be used while a sampling.

See:
Description

Interface Summary
BurnInTest | This is the abstract super class for any test of the length of the burn-in phase.
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.
SamplingFromStatistic | This is the interface for sampling based on a sufficient statistic.

Class Summary
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`.
SimpleBurnInTest | Deprecated. since this burn test ignore the data coming from the sampling, it might be problematic to use this test
VarianceRatioBurnInTest | In this class the Variance-Ratio method of Gelman and Rubin is implemented to test the length of the burn-in phase of a multi-chain Gibbs Sampling (number of chains >2).
VarianceRatioBurnInTestParameterSet | Class for the parameters of a `VarianceRatioBurnInTest`.

## Package de.jstacs.sampling Description

This package contains many classes that can be used while a sampling. The most interesting items of this package are the BurnInTest and SamplingComponent.

See Also:
  `BurnInTest`, `SamplingComponent`

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