| Package | Description |
|---|---|
| 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.
|
| de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions | |
| de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete |
| Constructor and Description |
|---|
SamplingHigherOrderHMM(SamplingHMMTrainingParameterSet trainingParameterSet,
String[] name,
int[] emissionIdx,
boolean[] forward,
SamplingEmission[] emission,
TransitionElement... te)
This is the main constructor.
|
| Constructor and Description |
|---|
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.
|
| Modifier and Type | Class and Description |
|---|---|
class |
SilentEmission
This class implements a silent emission which is used to create silent states.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractConditionalDiscreteEmission
The abstract super class of discrete emissions.
|
class |
DiscreteEmission
This class implements a simple discrete emission without any condition.
|
class |
PhyloDiscreteEmission
Phylogenetic discrete emission
This class uses a phylogenetic tree to describe multidimensional data
It implements Felsensteins model for nucleotide substitution (F81)
|
class |
ReferenceSequenceDiscreteEmission
This class implements a discrete emission that depends on some
ReferenceSequenceAnnotation
at a certain reference position. |