StateGenerator

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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. def ar1(nobs: Int, alpha: Double, beta: Double, state0: State[Double], W: Double): Vector[State[Double]]

   

   Generates an Array of states corresponding to an AR(1) DGLM

   Generates an Array of states corresponding to an AR(1) DGLM

   nobs

   The number of observations to generate

   alpha

   First auto-regressive parameter

   beta

   Second auto-regressive parameter

   state0

   The initial state as a DenseVector

   W

   The state's variance, W > 0

   returns

   An Array of DenseVector states

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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

    

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11. def hashCode(): Int

    

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12. final def isInstanceOf[T0]: Boolean

    

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

    

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14. final def notify(): Unit

    

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15. final def notifyAll(): Unit

    

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16. def states(nobs: Int, structure: Structure, state0: State[Double]): Vector[State[Double]]

    

    Generates an Array of states corresponding to a DGLM with the specified UnivariateStructure.

    Generates an Array of states corresponding to a DGLM with the specified UnivariateStructure.

    nobs

    The number of observations to generate

    structure

    The model's UnivariateStructure

    state0

    The initial state as a DenseVector

    returns

    An Array of DenseVector states

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

    

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18. def toString(): String

    

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19. final def wait(): Unit

    

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

    

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

    

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