Package | Description |
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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.
|
Modifier and Type | Class and Description |
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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).
|
Modifier and Type | Method and Description |
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AbstractBurnInTest |
AbstractBurnInTest.clone() |
Constructor and Description |
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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. |
Modifier and Type | Method and Description |
---|---|
AbstractBurnInTest |
SamplingHMMTrainingParameterSet.getBurnInTest()
This method return the burn in test to be used during sampling.
|