Object

probability_monad.Distributions

normal

Related Doc: package Distributions

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object normal extends Distribution[Double]

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Distribution[Double], AnyRef, Any
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  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. def *(x: Double)(implicit n: Numeric[Double]): Distribution[Double]

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    Definition Classes
    Distribution

  4. def *(d: Distribution[Double])(implicit n: Numeric[Double]): Distribution[Double]

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    Definition Classes
    Distribution

  5. def +(x: Double)(implicit n: Numeric[Double]): Distribution[Double]

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    Definition Classes
    Distribution

  6. def +(d: Distribution[Double])(implicit n: Numeric[Double]): Distribution[Double]

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    Definition Classes
    Distribution

  7. def -(x: Double)(implicit n: Numeric[Double]): Distribution[Double]

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    Definition Classes
    Distribution

  8. def -(d: Distribution[Double])(implicit n: Numeric[Double]): Distribution[Double]

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    Definition Classes
    Distribution

  9. def /(x: Double)(implicit toDouble: <:<[Double, Double]): Distribution[Double]

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    Definition Classes
    Distribution

  10. def /(d: Distribution[Double])(implicit toDouble: <:<[Double, Double]): Distribution[Double]

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    Definition Classes
    Distribution

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

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    Definition Classes
    AnyRef → Any

  12. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  13. def bucketedHist(min: Double, max: Double, nbuckets: Int, roundDown: Boolean = false)(implicit ord: Ordering[Double], toDouble: <:<[Double, Double]): Unit

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    Definition Classes
    Distribution

  14. def bucketedHist(buckets: Int)(implicit ord: Ordering[Double], toDouble: <:<[Double, Double]): Unit

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    Definition Classes
    Distribution

  15. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  17. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  18. def ev(implicit toDouble: <:<[Double, Double]): Double

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    Definition Classes
    Distribution

  19. def filter(pred: (Double) ⇒ Boolean): Distribution[Double]

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    Definition Classes
    Distribution

  20. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  21. def flatMap[B](f: (Double) ⇒ Distribution[B]): Distribution[B]

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    Definition Classes
    Distribution

  22. def get: Double

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    Definition Classes
    normal → Distribution

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

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    Definition Classes
    AnyRef → Any

  24. def given(pred: (Double) ⇒ Boolean): Distribution[Double]

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    Definition Classes
    Distribution

  25. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  26. def hist(implicit ord: Ordering[Double] = null, d: <:<[Double, Double] = null): Unit

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    Definition Classes
    Distribution

  27. def histData: Map[Double, Double]

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    Definition Classes
    Distribution

  28. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  29. def kurtosis(implicit toDouble: <:<[Double, Double]): Double

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    Definition Classes
    Distribution

  30. def map[B](f: (Double) ⇒ B): Distribution[B]

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    Definition Classes
    Distribution

  31. def markov(pred: (Double) ⇒ Boolean)(f: (Double) ⇒ Distribution[Double]): Distribution[Double]

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    Definition Classes
    Distribution

  32. final def markov(n: Int)(f: (Double) ⇒ Distribution[Double]): Distribution[Double]

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    Markov chains

    Markov chains

    Definition Classes
    Distribution
    Annotations
    @tailrec()

  33. def mean(implicit toDouble: <:<[Double, Double]): Double

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    Definition Classes
    Distribution

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

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    Definition Classes
    AnyRef

  35. final def notify(): Unit

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    Definition Classes
    AnyRef

  36. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  37. def posterior[B](experiment: (Double) ⇒ Distribution[B])(observed: (B) ⇒ Boolean): Distribution[Double]

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    Using this distribution as a prior, compute the posterior distribution after running an experiment and observing some outcomes and not others.

    Using this distribution as a prior, compute the posterior distribution after running an experiment and observing some outcomes and not others.

    Definition Classes
    Distribution

  38. def pr(pred: (Double) ⇒ Boolean, given: (Double) ⇒ Boolean = (a: A) => true, samples: Int = N): Double

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    Definition Classes
    Distribution

  39. def repeat(n: Int): Distribution[List[Double]]

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    Definition Classes
    Distribution

  40. def sample(n: Int = N): List[Double]

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    Definition Classes
    Distribution

  41. def samplePar(n: Int = N): ParSeq[Double]

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    Definition Classes
    Distribution

  42. def skewness(implicit toDouble: <:<[Double, Double]): Double

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    Definition Classes
    Distribution

  43. def stdev(implicit toDouble: <:<[Double, Double]): Double

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    Definition Classes
    Distribution

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

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    Definition Classes
    AnyRef

  45. def toString(): String

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    Definition Classes
    Distribution → AnyRef → Any

  46. def until(pred: (List[Double]) ⇒ Boolean): Distribution[List[Double]]

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    Definition Classes
    Distribution

  47. def variance(implicit toDouble: <:<[Double, Double]): Double

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    Definition Classes
    Distribution

  48. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  51. def withFilter(pred: (Double) ⇒ Boolean): Distribution[Double]

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    Definition Classes
    Distribution

  52. def zip[B](d: Distribution[B]): Distribution[(Double, B)]

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    Definition Classes
    Distribution

  53. def zipWith[B, C](d: Distribution[B])(f: (Double, B) ⇒ C): Distribution[C]

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    Definition Classes
    Distribution

Inherited from Distribution[Double]

Inherited from AnyRef

Inherited from Any

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