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## Uses of Class
de.jstacs.sampling.AbstractBurnInTestParameterSet

Packages that use AbstractBurnInTestParameterSet
de.jstacs.sampling | This package contains many classes that can be used while a sampling.
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training | The package provides all classes used to determine the training algorithm of a hidden Markov model

Uses of AbstractBurnInTestParameterSet in de.jstacs.sampling

Subclasses of AbstractBurnInTestParameterSet in de.jstacs.sampling
`class` | `VarianceRatioBurnInTestParameterSet` Class for the parameters of a `VarianceRatioBurnInTest`.

Methods in de.jstacs.sampling that return AbstractBurnInTestParameterSet
`AbstractBurnInTestParameterSet` | `AbstractBurnInTestParameterSet.clone()`
`AbstractBurnInTestParameterSet` | `AbstractBurnInTest.getCurrentParameterSet()`

Constructors in de.jstacs.sampling with parameters of type AbstractBurnInTestParameterSet
`AbstractBurnInTest(AbstractBurnInTestParameterSet parameters)` This is the main constructor that creates a burn-in test given a specified set of parameters

Uses of AbstractBurnInTestParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training with parameters of type AbstractBurnInTestParameterSet
`SamplingHMMTrainingParameterSet(int starts, int stepsPerIteration, int stationarySteps, AbstractBurnInTestParameterSet burnInTestParameters)` This is the main constructor creating an already filled parameter set for training an `AbstractHMM` using a sampling strategy.

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