com.cra.figaro.library.atomic.discrete

Util

object Util

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def binomialDensity(numTrials: Int, probSuccess: Double, numPositive: Int): Double

    Density of the given number of positive outcomes under a binomial random variable with the given number of trials.

    Density of the given number of positive outcomes under a binomial random variable with the given number of trials. Computing a binomial coefficient exactly can be very expensive for a large number of trials, so this method uses an approximation algorithm when the number of trials is sufficiently large.

  8. def clone(): AnyRef

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  11. def finalize(): Unit

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  12. def generateGeometric(probFail: Double): Int

    Generate a geometric distributed random variable.

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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