StudentsT

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

6. def apply(x: Double): Double

   Returns the unnormalized value of the measure

   Returns the unnormalized value of the measure

   Definition Classes

   ContinuousDistr → Density

7. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

8. def cdf(x: Double): Double

   Definition Classes

   StudentsT → HasCdf

9. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

    Definition Classes

    Rand

11. val degreesOfFreedom: Double

12. def draw(): Double

    Gets one sample from the distribution.

    Gets one sample from the distribution. Equivalent to sample()

    Definition Classes

    StudentsT → Rand

13. def drawOpt(): Option[Double]

    Overridden by filter/map/flatmap for monadic invocations.

    Overridden by filter/map/flatmap for monadic invocations. Basically, rejeciton samplers will return None here

    Definition Classes

    Rand

14. def entropy: Double

    Definition Classes

    StudentsT → Moments

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

    Definition Classes

    AnyRef

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

    Definition Classes

    Rand

17. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    Converts a random sampler of one type to a random sampler of another type.

    Converts a random sampler of one type to a random sampler of another type. Examples: randInt(10).flatMap(x => randInt(3 * x.asInstanceOf[Int]) gives a Rand[Int] in the range [0,30] Equivalently, for(x <- randInt(10); y <- randInt(30 *x)) yield y

    f

    the transform to apply to the sampled value.

    Definition Classes

    Rand

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

    Samples one element and qpplies the provided function to it.

    Samples one element and qpplies the provided function to it. Despite the name, the function is applied once. Sample usage:

     for(x <- Rand.uniform) { println(x) } 
    

    f

    the function to be applied

    Definition Classes

    Rand

20. def get(): Double

    Definition Classes

    Rand

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

    Definition Classes

    AnyRef → Any

22. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

23. def logApply(x: Double): Double

    Returns the log unnormalized value of the measure

    Returns the log unnormalized value of the measure

    Definition Classes

    ContinuousDistr → Density

24. lazy val logNormalizer: Double

    Definition Classes

    StudentsT → ContinuousDistr

25. def logPdf(x: Double): Double

    Definition Classes

    ContinuousDistr

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

    Converts a random sampler of one type to a random sampler of another type.

    Converts a random sampler of one type to a random sampler of another type. Examples: uniform.map(_*2) gives a Rand[Double] in the range [0,2] Equivalently, for(x <- uniform) yield 2*x

    f

    the transform to apply to the sampled value.

    Definition Classes

    Rand

27. def mean: Double

    Definition Classes

    StudentsT → Moments

28. def mode: Double

    Definition Classes

    StudentsT → Moments

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

    Definition Classes

    AnyRef

30. lazy val normalizer: Double

    Definition Classes

    ContinuousDistr

31. final def notify(): Unit

    Definition Classes

    AnyRef

32. final def notifyAll(): Unit

    Definition Classes

    AnyRef

33. def pdf(x: Double): Double

    Returns the probability density function at that point.

    Returns the probability density function at that point.

    Definition Classes

    ContinuousDistr

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

    Definition Classes

    StudentsT → HasCdf

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

    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes

    Rand

36. def sample(): Double

    Gets one sample from the distribution.

    Gets one sample from the distribution. Equivalent to get()

    Definition Classes

    Rand

37. def samples: Iterator[Double]

    An infinitely long iterator that samples repeatedly from the Rand

    An infinitely long iterator that samples repeatedly from the Rand

    returns

    an iterator that repeatedly samples

    Definition Classes

    Rand

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

    Return a vector of samples.

    Return a vector of samples.

    Definition Classes

    Rand

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

    Definition Classes

    AnyRef

40. def toString(): String

    Definition Classes

    StudentsT → AnyRef → Any

41. def unnormalizedLogPdf(x: Double): Double

    Definition Classes

    StudentsT → ContinuousDistr

42. def unnormalizedPdf(x: Double): Double

    Returns the probability density function up to a constant at that point.

    Returns the probability density function up to a constant at that point.

    Definition Classes

    ContinuousDistr

43. def variance: Double

    Definition Classes

    StudentsT → Moments

44. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    Rand