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

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

See:
Description

Class Summary
DifferentiableHigherOrderHMM | This class combines an `HigherOrderHMM` and a `DifferentiableStatisticalModel` by implementing some of the declared methods.
HigherOrderHMM | This class implements a higher order hidden Markov model.
SamplingHigherOrderHMM |
SamplingPhyloHMM | This class implements an (higher order) HMM that contains multi-dimensional emissions described by a phylogenetic tree.

Enum Summary
HigherOrderHMM.Type | This enum defined different types of computations that will be done using the backward algorithm.
SamplingHigherOrderHMM.ViterbiComputation | Emumeration of all possible Viterbi-Path methods

## Package de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models Description

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

Since:
  Jstacs 1.5

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