Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training.SamplingHMMTrainingParameterSet

Packages that use SamplingHMMTrainingParameterSet

de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models

The package provides different implementations of hidden Markov models based on AbstractHMM.

Uses of SamplingHMMTrainingParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models with parameters of type SamplingHMMTrainingParameterSet

SamplingHigherOrderHMM(SamplingHMMTrainingParameterSet trainingParameterSet, String[] name, int[] emissionIdx, boolean[] forward, SamplingEmission[] emission, TransitionElement... te)
This is the main constructor.

SamplingPhyloHMM(SamplingHMMTrainingParameterSet trainingParameterSet, String[] name, int[] emissionIdx, boolean[] forward, PhyloDiscreteEmission[] emission, TransitionElement... te)
This is the main constructor for a hidden markov model with phylogenetic emission(s) This model can be trained using a metropolis hastings algorithm