Package | Description |
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de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models |
The package provides different implementations of hidden Markov models based on
AbstractHMM . |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states |
The package provides all interfaces and classes for states used in hidden Markov models.
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de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions | |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete |
Constructor and Description |
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SamplingHigherOrderHMM(SamplingHMMTrainingParameterSet trainingParameterSet,
String[] name,
int[] emissionIdx,
boolean[] forward,
SamplingEmission[] emission,
TransitionElement... te)
This is the main constructor.
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Constructor and Description |
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SimpleSamplingState(SamplingEmission e,
String name,
boolean forward)
This constructor creates a state that can be used in a HMM that obtains its parameters from sampling.
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Modifier and Type | Class and Description |
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class |
SilentEmission
This class implements a silent emission which is used to create silent states.
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Modifier and Type | Class and Description |
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class |
AbstractConditionalDiscreteEmission
The abstract super class of discrete emissions.
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class |
DiscreteEmission
This class implements a simple discrete emission without any condition.
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class |
PhyloDiscreteEmission
Phylogenetic discrete emission
This class uses a phylogenetic tree to describe multidimensional data
It implements Felsensteins model for nucleotide substitution (F81)
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class |
ReferenceSequenceDiscreteEmission
This class implements a discrete emission that depends on some
ReferenceSequenceAnnotation
at a certain reference position. |