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## Uses of Class
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif.DurationDiffSM

Packages that use DurationDiffSM
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels | Provides `DifferentiableStatisticalModel`s that are directed graphical models.
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif |

Uses of DurationDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

Constructors in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels with parameters of type DurationDiffSM
`MarkovModelDiffSM(AlphabetContainer alphabet, int length, double ess, boolean plugInParameters, InhomogeneousMarkov structureMeasure, DurationDiffSM lengthPenalty)` This constructor creates an instance with an prior for the modeled length.
`MarkovModelDiffSM(AlphabetContainer alphabet, int length, double ess, boolean plugInParameters, int order, DurationDiffSM lengthPenalty)` This constructor creates an instance with an prior for the modeled length.

Uses of DurationDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif

Subclasses of DurationDiffSM in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif
`class` | `MixtureDurationDiffSM` This class implements a mixture of `DurationDiffSM`s.
`class` | `SkewNormalLikeDurationDiffSM` This class implements a skew normal like discrete truncated distribution.
`class` | `UniformDurationDiffSM` This scoring function implements a uniform distribution for positions.

Constructors in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif with parameters of type DurationDiffSM
`ExtendedZOOPSDiffSM(boolean type, int length, int starts, boolean plugIn, HomogeneousDiffSM bg, DifferentiableStatisticalModel[] motif, DurationDiffSM[] posPrior, boolean plugInBg)` This constructor creates an instance of `ExtendedZOOPSDiffSM` that allows to have one site of the specified motifs in a `Sequence`.
`ExtendedZOOPSDiffSM(boolean type, int length, int starts, boolean plugIn, HomogeneousDiffSM bg, DifferentiableStatisticalModel motif, DurationDiffSM posPrior, boolean plugInBg)` This constructor creates an instance of `ExtendedZOOPSDiffSM` that is either an OOPS or a ZOOPS model depending on the chosen `type`.
`MixtureDurationDiffSM(int starts, DurationDiffSM... function)` The main constructor of a `MixtureDurationDiffSM`.

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