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 approxAIC: Double

   Computes approximate AIC criterion for current model parameters

   Computes approximate AIC criterion for current model parameters

   returns

   Approximate AIC.

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.  def fitted: Seq[Double]

    Yields predictions for train dataset.

    Yields predictions for train dataset. Mainly used to compute residuals.

    returns

    Fitted values for train dataset.

11.  def forecast: Double

    Forecasts next point.

12.  def getARCoefs: Seq[Double]
13.  final def getClass(): Class[_]

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14.  def getIntercept: Double
15.  def getMACoefs: Seq[Double]
16.  def hashCode(): Int

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17.  final def isInstanceOf[T0]: Boolean

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18.  def logLikelihood: Double

    Computes log likelihood for current model parameters.

    Computes log likelihood for current model parameters.

    returns

    Log likelihood of the model

19.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

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20.  def noObs: Int

    Gets number of observations (size of initial time-series data)

    Gets number of observations (size of initial time-series data)

    returns

    Number of observations.

21.  final def notify(): Unit

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22.  final def notifyAll(): Unit

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23.  val params: Seq[Double]
24.  def sigma: Double

    Computes Sigma2

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

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26.  def toString(): String

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27.  final def wait(): Unit

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

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29.  final def wait(arg0: Long): Unit

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