Class

io.github.mandar2812.dynaml.probability.distributions

Kumaraswamy

Related Doc: package distributions

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case class Kumaraswamy(a: Double, b: Double)(implicit rand: RandBasis = Rand) extends ContinuousDistr[Double] with HasCdf with Moments[Double, Double] with Product with Serializable

Kumaraswamy Distribution

A probability distribution for a univariate random variable which takes values in the interval [0, 1]. The Kumaraswamy distribution is closely related to the Beta distribution.

Linear Supertypes
Product, Equals, Moments[Double, Double], HasCdf, ContinuousDistr[Double], Rand[Double], Serializable, Serializable, Density[Double], AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. Kumaraswamy
  2. Product
  3. Equals
  4. Moments
  5. HasCdf
  6. ContinuousDistr
  7. Rand
  8. Serializable
  9. Serializable
  10. Density
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new Kumaraswamy(a: Double, b: Double)(implicit rand: RandBasis = Rand)

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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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    Definition Classes
    AnyRef → Any

  4. val a: Double

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  5. def apply(x: Double): Double

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    Definition Classes
    ContinuousDistr → Density

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. val b: Double

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  8. def cdf(x: Double): Double

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    Definition Classes
    Kumaraswamy → HasCdf

  9. def clone(): AnyRef

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

  10. def condition(p: (Double) ⇒ Boolean): Rand[Double]

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    Definition Classes
    Rand

  11. def draw(): Double

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    Definition Classes
    Kumaraswamy → Rand

  12. def drawOpt(): Option[Double]

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    Definition Classes
    Rand

  13. def entropy: Double

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    Definition Classes
    Kumaraswamy → Moments

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

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    Definition Classes
    AnyRef

  15. def filter(p: (Double) ⇒ Boolean): Rand[Double]

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    Definition Classes
    Rand

  16. def finalize(): Unit

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

  17. def flatMap[E](f: (Double) ⇒ Rand[E]): Rand[E]

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    Definition Classes
    Rand

  18. def foreach(f: (Double) ⇒ Unit): Unit

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    Definition Classes
    Rand

  19. def get(): Double

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    Definition Classes
    Rand

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

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    Definition Classes
    AnyRef → Any

  21. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  22. def logApply(x: Double): Double

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    Definition Classes
    ContinuousDistr → Density

  23. def logNormalizer: Double

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    Definition Classes
    Kumaraswamy → ContinuousDistr

  24. def logPdf(x: Double): Double

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    Definition Classes
    ContinuousDistr

  25. val loga: Double

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  26. val logb: Double

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  27. def map[E](f: (Double) ⇒ E): Rand[E]

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    Definition Classes
    Rand

  28. def mean: Double

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    Definition Classes
    Kumaraswamy → Moments

  29. def mode: Double

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    Definition Classes
    Kumaraswamy → Moments

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

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    Definition Classes
    AnyRef

  31. lazy val normalizer: Double

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    Definition Classes
    ContinuousDistr

  32. final def notify(): Unit

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    Definition Classes
    AnyRef

  33. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  34. def pdf(x: Double): Double

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    Definition Classes
    ContinuousDistr

  35. def probability(x: Double, y: Double): Double

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    Definition Classes
    Kumaraswamy → HasCdf

  36. def sample(n: Int): IndexedSeq[Double]

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    Definition Classes
    Rand

  37. def sample(): Double

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    Definition Classes
    Rand

  38. def samples: Iterator[Double]

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    Definition Classes
    Rand

  39. def samplesVector[U >: Double](size: Int)(implicit m: ClassTag[U]): DenseVector[U]

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    Definition Classes
    Rand

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

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    Definition Classes
    AnyRef

  41. def unnormalizedLogPdf(x: Double): Double

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    Definition Classes
    Kumaraswamy → ContinuousDistr

  42. def unnormalizedPdf(x: Double): Double

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    Definition Classes
    ContinuousDistr

  43. def variance: Double

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    Definition Classes
    Kumaraswamy → Moments

  44. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  47. def withFilter(p: (Double) ⇒ Boolean): Rand[Double]

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    Definition Classes
    Rand

Inherited from Product

Inherited from Equals

Inherited from Moments[Double, Double]

Inherited from HasCdf

Inherited from ContinuousDistr[Double]

Inherited from Rand[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Density[Double]

Inherited from AnyRef

Inherited from Any

Ungrouped