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## Uses of Class
de.jstacs.models.mixture.motif.positionprior.PositionPrior

Packages that use PositionPrior
de.jstacs.models.mixture.motif |
de.jstacs.models.mixture.motif.positionprior |

Uses of PositionPrior in de.jstacs.models.mixture.motif

Fields in de.jstacs.models.mixture.motif declared as PositionPrior
`protected PositionPrior` | `HiddenMotifMixture.posPrior` The prior for the positions.

Constructors in de.jstacs.models.mixture.motif with parameters of type PositionPrior
`HiddenMotifMixture(Model[] models, boolean[] optimzeArray, int components, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double[] weights, PositionPrior posPrior, AbstractMixtureModel.Algorithm algorithm, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new `HiddenMotifMixture`.
`SingleHiddenMotifMixture(Model motif, Model bg, boolean trainOnlyMotifModel, int starts, double[] componentHyperParams, double[] weights, PositionPrior posPrior, AbstractMixtureModel.Algorithm algorithm, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new `SingleHiddenMotifMixture`.
`SingleHiddenMotifMixture(Model motif, Model bg, boolean trainOnlyMotifModel, int starts, double[] componentHyperParams, PositionPrior posPrior, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization)` Creates a new `SingleHiddenMotifMixture` using EM and estimating the probability for finding a motif.
`SingleHiddenMotifMixture(Model motif, Model bg, boolean trainOnlyMotifModel, int starts, double motifProb, PositionPrior posPrior, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization)` Creates a new `SingleHiddenMotifMixture` using EM and fixed probability for finding a motif.

Uses of PositionPrior in de.jstacs.models.mixture.motif.positionprior

Subclasses of PositionPrior in de.jstacs.models.mixture.motif.positionprior
`class` | `GaussianLikePositionPrior` This class implements a gaussian like discrete truncated prior.
`class` | `UniformPositionPrior` This prior implements a uniform distribution for the start position.

Methods in de.jstacs.models.mixture.motif.positionprior that return PositionPrior
`PositionPrior` | `PositionPrior.clone()`

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