c

dlm.core.model

InverseWishart

case class InverseWishart(nu: Double, psi: DenseMatrix[Double])(implicit rand: RandBasis = Rand) extends ContinuousDistr[DenseMatrix[Double]] with Moments[DenseMatrix[Double], DenseMatrix[Double]] with Product with Serializable

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

Instance Constructors

  1. new InverseWishart(nu: Double, psi: DenseMatrix[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: DenseMatrix[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: (DenseMatrix[Double]) ⇒ Boolean): Rand[DenseMatrix[Double]]
    Definition Classes
    Rand
  8. val d: Int
  9. def draw(): DenseMatrix[Double]
    Definition Classes
    InverseWishart → Rand
  10. def drawOpt(): Option[DenseMatrix[Double]]
    Definition Classes
    Rand
  11. def entropy: Double
    Definition Classes
    InverseWishart → Moments
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def filter(p: (DenseMatrix[Double]) ⇒ Boolean): Rand[DenseMatrix[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: (DenseMatrix[Double]) ⇒ Rand[E]): Rand[E]
    Definition Classes
    Rand
  16. def foreach(f: (DenseMatrix[Double]) ⇒ Unit): Unit
    Definition Classes
    Rand
  17. def get(): DenseMatrix[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. def logApply(x: DenseMatrix[Double]): Double
    Definition Classes
    ContinuousDistr → Density
  21. def logNormalizer: Double
    Definition Classes
    InverseWishart → ContinuousDistr
  22. def logPdf(x: DenseMatrix[Double]): Double
    Definition Classes
    ContinuousDistr
  23. def map[E](f: (DenseMatrix[Double]) ⇒ E): Rand[E]
    Definition Classes
    Rand
  24. def mean: DenseMatrix[Double]
    Definition Classes
    InverseWishart → Moments
  25. def mode: DenseMatrix[Double]
    Definition Classes
    InverseWishart → Moments
  26. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  27. lazy val normalizer: Double
    Definition Classes
    ContinuousDistr
  28. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  29. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  30. val nu: Double
  31. def pdf(x: DenseMatrix[Double]): Double
    Definition Classes
    ContinuousDistr
  32. val psi: DenseMatrix[Double]
  33. def sample(n: Int): IndexedSeq[DenseMatrix[Double]]
    Definition Classes
    Rand
  34. def sample(): DenseMatrix[Double]
    Definition Classes
    Rand
  35. def samples: Iterator[DenseMatrix[Double]]
    Definition Classes
    Rand
  36. def samplesVector[U >: DenseMatrix[Double]](size: Int)(implicit m: ClassTag[U]): DenseVector[U]
    Definition Classes
    Rand
  37. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  38. def unnormalizedLogPdf(x: DenseMatrix[Double]): Double
    Definition Classes
    InverseWishart → ContinuousDistr
  39. def unnormalizedPdf(x: DenseMatrix[Double]): Double
    Definition Classes
    ContinuousDistr
  40. def variance: DenseMatrix[Double]
    Definition Classes
    InverseWishart → 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: (DenseMatrix[Double]) ⇒ Boolean): Rand[DenseMatrix[Double]]
    Definition Classes
    Rand

Inherited from Product

Inherited from Equals

Inherited from Moments[DenseMatrix[Double], DenseMatrix[Double]]

Inherited from ContinuousDistr[DenseMatrix[Double]]

Inherited from Rand[DenseMatrix[Double]]

Inherited from Serializable

Inherited from Serializable

Inherited from Density[DenseMatrix[Double]]

Inherited from AnyRef

Inherited from Any

Ungrouped