Uses of Class
de.jstacs.sampling.AbstractBurnInTest

Packages that use AbstractBurnInTest

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 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.

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

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training that return AbstractBurnInTest

AbstractBurnInTest

SamplingHMMTrainingParameterSet.getBurnInTest() This method return the burn in test to be used during sampling.