Class

org.hammerlab.math

HypergeometricDistribution

Related Doc: package math

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case class HypergeometricDistribution(N: Long, K: Long, n: Int) extends Product with Serializable

Implementation of a hypergeometric distribution, modeled after org.apache.commons.math3.distribution.HypergeometricDistribution, but supporting Long parameters.

N

Population size.

K

Number of successes.

n

Number to sample.

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Instance Constructors

  1. new HypergeometricDistribution(N: Long, K: Long, n: Int)

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    N

    Population size.

    K

    Number of successes.

    n

    Number to sample.

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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  4. val K: Long

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    Number of successes.

  5. val N: Long

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    Population size.

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
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  7. val cdf: ArrayBuffer[Double]

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  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    Annotations
    @throws( ... )

  9. var d: Double

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

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  11. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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  13. def invCDF(x: Double, start: Int = 0, end: Int = n): Int

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  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  15. val logBinomPartialSumsK: ArrayBuffer[Double]

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  16. val logBinomPartialSumsLo: ArrayBuffer[Double]

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  17. val logBinomPartialSumsNK: ArrayBuffer[Double]

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  18. val n: Int

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    Number to sample.

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

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    Definition Classes
    AnyRef

  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. val pdf: ArrayBuffer[Double]

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

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  24. final def wait(): Unit

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    @throws( ... )

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

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

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