c

dlm.core.model

ScaledStudentsT

case class ScaledStudentsT(dof: Double, location: Double, scale: Double)(implicit rand: RandBasis = Rand) extends ContinuousDistr[Double] with Moments[Double, Double] with Product with Serializable

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

Instance Constructors

  1. new ScaledStudentsT(dof: Double, location: Double, scale: Double)(implicit rand: RandBasis = Rand)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply(x: Double): Double
    Definition Classes
    ContinuousDistr → Density
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  7. def condition(p: (Double) ⇒ Boolean): Rand[Double]
    Definition Classes
    Rand
  8. val dof: Double
  9. def draw(): Double
    Definition Classes
    ScaledStudentsT → Rand
  10. def drawOpt(): Option[Double]
    Definition Classes
    Rand
  11. def entropy: Double
    Definition Classes
    ScaledStudentsT → Moments
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def filter(p: (Double) ⇒ Boolean): Rand[Double]
    Definition Classes
    Rand
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. def flatMap[E](f: (Double) ⇒ Rand[E]): Rand[E]
    Definition Classes
    Rand
  16. def foreach(f: (Double) ⇒ Unit): Unit
    Definition Classes
    Rand
  17. def get(): Double
    Definition Classes
    Rand
  18. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  19. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  20. val location: Double
  21. def logApply(x: Double): Double
    Definition Classes
    ContinuousDistr → Density
  22. def logNormalizer: Double
    Definition Classes
    ScaledStudentsT → ContinuousDistr
  23. def logPdf(x: Double): Double
    Definition Classes
    ContinuousDistr
  24. def map[E](f: (Double) ⇒ E): Rand[E]
    Definition Classes
    Rand
  25. def mean: Double

    The mean is defined for dof > 1

    The mean is defined for dof > 1

    Definition Classes
    ScaledStudentsT → Moments
  26. def mode: Double
    Definition Classes
    ScaledStudentsT → Moments
  27. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. lazy val normalizer: Double
    Definition Classes
    ContinuousDistr
  29. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  30. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  31. def pdf(x: Double): Double
    Definition Classes
    ContinuousDistr
  32. def sample(n: Int): IndexedSeq[Double]
    Definition Classes
    Rand
  33. def sample(): Double
    Definition Classes
    Rand
  34. def samples: Iterator[Double]
    Definition Classes
    Rand
  35. def samplesVector[U >: Double](size: Int)(implicit m: ClassTag[U]): DenseVector[U]
    Definition Classes
    Rand
  36. val scale: Double
  37. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  38. def unnormalizedLogPdf(x: Double): Double
    Definition Classes
    ScaledStudentsT → ContinuousDistr
  39. def unnormalizedPdf(x: Double): Double
    Definition Classes
    ContinuousDistr
  40. def variance: Double

    The variance is defined for dof > 2

    The variance is defined for dof > 2

    Definition Classes
    ScaledStudentsT → Moments
  41. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  43. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  44. def withFilter(p: (Double) ⇒ Boolean): Rand[Double]
    Definition Classes
    Rand

Inherited from Product

Inherited from Equals

Inherited from Moments[Double, Double]

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