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

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

Uses of AbstractBurnInTest in de.jstacs.models.hmm.training

Methods in de.jstacs.models.hmm.training that return AbstractBurnInTest
`AbstractBurnInTest` | `SamplingHMMTrainingParameterSet.getBurnInTest()` This method return the burn in test to be used during sampling.

Uses of AbstractBurnInTest in de.jstacs.sampling

Subclasses of AbstractBurnInTest in de.jstacs.sampling
`class` | `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).

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

Constructor parameters in de.jstacs.sampling with type arguments of type AbstractBurnInTest
`AbstractBurnInTestParameterSet(Class<? extends AbstractBurnInTest> instanceClass)` Creates a new `AbstractBurnInTestParameterSet` with empty parameter values.
`AbstractBurnInTestParameterSet(Class<? extends AbstractBurnInTest> instanceClass, int starts)` Creates a new `AbstractBurnInTestParameterSet` with pre-defined parameter values.

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