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abstract class VariateMat extends Error

The VariateMat abstract class serves as a base class for all the random variate matrix (RVM) generators. They use one of the Random Number Generators (RNG's) from Random.scala to generate numbers following their particular multivariate distribution. -----------------------------------------------------------------------------

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RandomMatD
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Instance Constructors

  1. new VariateMat(stream: Int = 0)

    stream

    the random number stream

Abstract Value Members

  1. abstract def gen: MatrixD

    Determine the next random double matrix for the particular distribution.

  2. abstract def igen: MatrixI

    Determine the next random integer matrix for the particular distribution.

    Determine the next random integer matrix for the particular distribution. It is only valid for discrete random variates.

  3. abstract def mean: MatrixD

    Compute the matrix mean for the particular distribution.

  4. abstract def pf(z: MatrixD): Double

    Compute the probability function (pf): The probability density function (pdf) for continuous RVM's or the probability mass function (pmf) for discrete RVM's.

    Compute the probability function (pf): The probability density function (pdf) for continuous RVM's or the probability mass function (pmf) for discrete RVM's.

    z

    the mass point/matrix whose probability is sought

  5. abstract def rlegenc: RleMatrixD

    Determine the next random Rle matrix for the particular distribution.

    Determine the next random Rle matrix for the particular distribution. Repetition based upon runLength is used to create column vectors.

  6. abstract def rlegenr: RleMatrixD

    Determine the next random Rle matrix for the particular distribution.

    Determine the next random Rle matrix for the particular distribution. Repetition based upon runLength is used to create row vectors.

Concrete 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. var _discrete: Boolean

    Indicates whether the distribution is discrete or continuous (default)

    Indicates whether the distribution is discrete or continuous (default)

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  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  7. def discrete: Boolean

    Determine whether the distribution is discrete or continuous.

  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. final def flaw(method: String, message: String): Unit
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  14. final def ne(arg0: AnyRef): Boolean
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  16. final def notifyAll(): Unit
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  17. val r: Random

    Random number stream selected by the stream number

    Random number stream selected by the stream number

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  18. final def synchronized[T0](arg0: ⇒ T0): T0
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  19. def toString(): String
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  20. final def wait(arg0: Long, arg1: Int): Unit
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  1. def finalize(): Unit
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    Deprecated

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