POMP

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def BernoulliModel(stepFun: StepFunction): UnparamModel

   

   The bernoulli model with a one dimensional latent state

   The bernoulli model with a one dimensional latent state

   stepFun

   a solution to a diffusion process

5. def LinearModel(stepFun: StepFunction): UnparamModel

   

   A linear unparameterised model

   A linear unparameterised model

   stepFun

   a solution to a diffusion process representing the evolution of the latent state

   returns

   an UnparamModel which can be composed with other models

6. def LogGaussianCox(stepFun: StepFunction): UnparamModel

   

   The Log-Gaussian Cox-Process is used to model time to event data with log-gaussian varying hazard rate

7. def PoissonModel(stepFun: StepFunction): UnparamModel

   

   The Poisson unparameterised model with a one dimensional latent state

   The Poisson unparameterised model with a one dimensional latent state

   stepFun

   a solution to a diffusion process representing the evolution of the latent space

   returns

   a Poisson UnparamModel which can be composed with other UnparamModels

8. def SeasonalModel(period: Int, harmonics: Int, stepFun: StepFunction): UnparamModel

   

   A seasonal model

   A seasonal model

   period

   the period of the seasonality

   harmonics

   the number of harmonics to use in the seasonal model

   stepFun

   a solution to a diffusion process representing the latent state

9. final def asInstanceOf[T0]: T0

   

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10. implicit def bool2obs(b: Boolean): Observation

    

11. def clone(): AnyRef

    

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    protected[java.lang]

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12. final def eq(arg0: AnyRef): Boolean

    

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13. def equals(arg0: Any): Boolean

    

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14. def finalize(): Unit

    

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15. final def getClass(): Class[_]

    

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16. def hashCode(): Int

    

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17. final def isInstanceOf[T0]: Boolean

    

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18. final def ne(arg0: AnyRef): Boolean

    

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19. def negativeBinomial(stepFun: StepFunction): UnparamModel

    

20. final def notify(): Unit

    

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21. final def notifyAll(): Unit

    

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22. implicit def obs2bool(o: Observation): Boolean

    

23. def studentTModel(stepFun: StepFunction, df: Int): UnparamModel

    

    Generalised student t model

    Generalised student t model

    stepFun

    the diffusion process solution to use for this model

    returns

    an unparameterised model of the Student-T model, which can be composed with other models

24. final def synchronized[T0](arg0: ⇒ T0): T0

    

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25. def toString(): String

    

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26. final def wait(): Unit

    

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27. final def wait(arg0: Long, arg1: Int): Unit

    

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28. final def wait(arg0: Long): Unit

    

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