Rayleigh

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

   

   Returns the unnormalized value of the measure

   Returns the unnormalized value of the measure

   Definition Classes

   ContinuousDistr → Density

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. def cdf(x: Double): Double

   

   Definition Classes

   Rayleigh → HasCdf

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   

   Definition Classes

   Rand

9. def draw(): Double

   

   Gets one sample from the distribution.

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

   Definition Classes

   Rayleigh → Rand

10. 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

11. def entropy: Double

    

    Definition Classes

    Rayleigh → 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]

    

    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

16. 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

17. def get(): Double

    

    Definition Classes

    Rand

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

    

    Definition Classes

    AnyRef → Any

19. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

20. 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

21. def logNormalizer: Double

    

    Definition Classes

    Rayleigh → ContinuousDistr

22. def logPdf(x: Double): Double

    

    Definition Classes

    ContinuousDistr

23. 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

24. def mean: Double

    

    Definition Classes

    Rayleigh → Moments

25. def mode: Double

    

    Definition Classes

    Rayleigh → 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

29. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

30. def pdf(x: Double): Double

    

    Returns the probability density function at that point.

    Returns the probability density function at that point.

    Definition Classes

    ContinuousDistr

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

    

    Definition Classes

    Rayleigh → HasCdf

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

    

    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes

    Rand

33. def sample(): Double

    

    Gets one sample from the distribution.

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

    Definition Classes

    Rand

34. 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

35. 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

36. val scale: Double

    

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

    

    Definition Classes

    AnyRef

38. def unnormalizedLogPdf(x: Double): Double

    

    Definition Classes

    Rayleigh → ContinuousDistr

39. 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

40. def variance: Double

    

    Definition Classes

    Rayleigh → 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

    @throws( ... )

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

    

    Definition Classes

    Rand