Package | Description |
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de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels |
Provides
DifferentiableStatisticalModel s that are directed graphical models. |
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif |
Constructor and Description |
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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.
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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.
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Modifier and Type | Class and Description |
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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.
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Constructor and Description |
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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 . |