Class

io.github.mandar2812.dynaml.probability.distributions

UnivariateStudentsT

Related Doc: package distributions

Permalink

case class UnivariateStudentsT(mu: Double, mean: Double, sigma: Double)(implicit rand: RandBasis = Rand) extends AbstractContinuousDistr[Double] with Moments[Double, Double] with HasErrorBars[Double] with Product with Serializable

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

Instance Constructors

  1. new UnivariateStudentsT(mu: Double, mean: Double, sigma: Double)(implicit rand: RandBasis = Rand)

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. def apply(x: Double): Double

    Permalink
    Definition Classes
    ContinuousDistr → Density

  5. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

    Permalink
    Definition Classes
    Rand

  8. def confidenceInterval(s: Double): (Double, Double)

    Permalink
    Definition Classes
    UnivariateStudentsT → HasErrorBars

  9. def draw(): Double

    Permalink
    Definition Classes
    UnivariateStudentsT → Rand

  10. def drawOpt(): Option[Double]

    Permalink
    Definition Classes
    Rand

  11. def entropy: Double

    Permalink
    Definition Classes
    UnivariateStudentsT → Moments

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

    Permalink
    Definition Classes
    AnyRef

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

    Permalink
    Definition Classes
    Rand

  14. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    Rand

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

    Permalink
    Definition Classes
    Rand

  17. def get(): Double

    Permalink
    Definition Classes
    Rand

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

    Permalink
    Definition Classes
    AnyRef → Any

  19. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  20. def logApply(x: Double): Double

    Permalink
    Definition Classes
    ContinuousDistr → Density

  21. def logNormalizer: Double

    Permalink
    Definition Classes
    UnivariateStudentsT → ContinuousDistr

  22. def logPdf(x: Double): Double

    Permalink
    Definition Classes
    ContinuousDistr

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

    Permalink
    Definition Classes
    Rand

  24. val mean: Double

    Permalink
    Definition Classes
    UnivariateStudentsT → Moments

  25. def mode: Double

    Permalink
    Definition Classes
    UnivariateStudentsT → Moments

  26. val mu: Double

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  28. lazy val normalizer: Double

    Permalink
    Definition Classes
    ContinuousDistr

  29. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  30. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  31. def pdf(x: Double): Double

    Permalink
    Definition Classes
    ContinuousDistr

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

    Permalink
    Definition Classes
    Rand

  33. def sample(): Double

    Permalink
    Definition Classes
    Rand

  34. def samples: Iterator[Double]

    Permalink
    Definition Classes
    Rand

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

    Permalink
    Definition Classes
    Rand

  36. val sigma: Double

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  38. def unnormalizedLogPdf(x: Double): Double

    Permalink
    Definition Classes
    UnivariateStudentsT → ContinuousDistr

  39. def unnormalizedPdf(x: Double): Double

    Permalink
    Definition Classes
    ContinuousDistr

  40. def variance: Double

    Permalink
    Definition Classes
    UnivariateStudentsT → Moments

  41. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    Rand

Inherited from Product

Inherited from Equals

Inherited from HasErrorBars[Double]

Inherited from Moments[Double, Double]

Inherited from AbstractContinuousDistr[Double]

Inherited from ContinuousDistr[Double]

Inherited from GenericDistribution[Double]

Inherited from Rand[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Density[Double]

Inherited from AnyRef

Inherited from Any

Ungrouped