class ProbabilityModel[TModelPoint, TModelState] extends AnyRef
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- def cacheCountStaying: Int
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- def cacheKeyFor(mp: TModelPoint): Option[Product]
- val calculationKeyExtractor: Option[(TModelPoint) => Product]
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- val i2s: Map[Int, TModelState]
- val intensities: Map[Edge[TModelState], (TModelPoint, Time) => Double]
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- def mXm(a: Matrix, b: Matrix): Matrix
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- val s2i: Map[TModelState, Int]
- val space: IndexedSeq[TModelState]
- def stepIntensity(mp: TModelPoint, fromState: TModelState, time: Time, to: TModelState): Double
- def stepMatrix(mp: TModelPoint, time: Time): Matrix
- def stepStayingProbability(mp: TModelPoint, inState: TModelState, time: Time): Double
- def stepTransitionProbabilities(mp: TModelPoint, fromState: TModelState, time: Time): Iterable[TransitionProbability[TModelState]]
- def stepTransitionProbability(mp: TModelPoint, fromState: TModelState, to: TModelState, time: Time): Double
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- def transitionProbabilities(mp: TModelPoint, fromStates: List[TModelState], toStates: List[TModelState], from: Time, to: Time): Double
- def transitionProbabilities(mp: TModelPoint, fromStates: List[TModelState], toState: TModelState, from: Time, to: Time): Double
- def transitionProbabilities(mp: TModelPoint, fromState: TModelState, toStates: List[TModelState], from: Time, to: Time): Double
- def transitionProbabilities(mp: TModelPoint, fromCondition: (TModelState) => Boolean, toCondition: (TModelState) => Boolean, from: Time, to: Time): Double
- def transitionProbabilities(mp: TModelPoint, fromState: TModelState, toState: TModelState, from: Time, to: Time): Double
- def transitions: Iterable[Edge[TModelState]]
- def uninterruptedStayingProbability(mp: TModelPoint, inState: TModelState, from: Time, to: Time): Double
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(Since version 9)