Uses of Package
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif

Packages that use de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif

de.jstacs.sequenceScores.statisticalModels.differentiable	Provides all DifferentiableStatisticalModels, which can compute the gradient with respect to their parameters for a given input Sequence.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels	Provides DifferentiableStatisticalModels that are directed graphical models.
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif used by de.jstacs.sequenceScores.statisticalModels.differentiable

ExtendedZOOPSDiffSM
This class handles mixtures with at least one hidden motif.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

DurationDiffSM
This class is the super class for all one dimensional position scoring functions that can be used as durations for semi Markov models.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif used by de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif

DurationDiffSM
This class is the super class for all one dimensional position scoring functions that can be used as durations for semi Markov models.

ExtendedZOOPSDiffSM
This class handles mixtures with at least one hidden motif.

MixtureDurationDiffSM
This class implements a mixture of DurationDiffSMs.

PositionDiffSM
This class implements a position scoring function that enables the user to get a score without using a Sequence object.

SkewNormalLikeDurationDiffSM
This class implements a skew normal like discrete truncated distribution.