Dglm

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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. final def asInstanceOf[T0]: T0

   

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5. def beta(mod: Dlm.Model): Model

   

   Construct a DGLM with Beta distributed observations, with variance < mean (1 - mean)

6. def beta(mean: Double, variance: Double): ContinuousDistr[Double]

   

7. def clone(): AnyRef

   

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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14. def logisticFunction(upper: Double)(number: Double): Double

    

    Logistic function to transform the number onto a range between 0 and upper

    Logistic function to transform the number onto a range between 0 and upper

    upper

    the upper limit of the logistic function

    number

    the number to be transformed

    returns

    a number between 0 and upper

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. def poisson(mod: Dlm.Model): Model

    

    Construct a DGLM with Poisson distributed observations

19. def simStep(mod: Model, p: Parameters): (Time, DenseVector[Double]) ⇒ Rand[(Data, DenseVector[Double])]

    

20. def simulate(mod: Model, p: Parameters): Process[(Data, DenseVector[Double])]

    

21. def studentT(df: Int, mod: Dlm.Model): Model

    

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

    

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23. def toString(): String

    

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24. final def wait(): Unit

    

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

    

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

    

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