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

   ApacheContinuousDistribution → 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

   ApacheContinuousDistribution → Rand

10.  def drawMany(n: Int): Array[Double]

    Definition Classes

    ApacheContinuousDistribution

11.  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

12.  def entropy: Double

    Definition Classes

    TriangularDistribution → Moments

13.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

14.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

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

    Definition Classes

    Rand

16.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

17.  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

18.  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

19.  def get(): Double

    Definition Classes

    Rand

20.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

21.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

22.  final val inner: org.apache.commons.math3.distribution.TriangularDistribution

    Attributes

    protected

    Definition Classes

    TriangularDistribution → ApacheContinuousDistribution

23.  def inverseCdf(p: Double): Double

    Definition Classes

    ApacheContinuousDistribution → HasInverseCdf

24.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

25.  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

26.  lazy val logNormalizer: Double

    Definition Classes

    ApacheContinuousDistribution → ContinuousDistr

27.  def logPdf(x: Double): Double

    Definition Classes

    ContinuousDistr

28.  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

29.  def mean: Double

    Definition Classes

    ApacheContinuousDistribution

30.  def mode: Double

    Definition Classes

    TriangularDistribution → Moments

31.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

32.  lazy val normalizer: Double

    Definition Classes

    ContinuousDistr

33.  final def notify(): Unit

    Definition Classes

    AnyRef

34.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

35.  def pdf(x: Double): Double

    Returns the probability density function at that point.

    Returns the probability density function at that point.

    Definition Classes

    ApacheContinuousDistribution → ContinuousDistr

36.  def probability(x: Double, y: Double): Double

    Definition Classes

    ApacheContinuousDistribution → HasCdf

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

    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes

    Rand

38.  def sample(): Double

    Gets one sample from the distribution.

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

    Definition Classes

    Rand

39.  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

40.  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

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

    Definition Classes

    AnyRef

42.  def toString(): String

    Definition Classes

    AnyRef → Any

43.  def unnormalizedLogPdf(x: Double): Double

    Definition Classes

    ApacheContinuousDistribution → ContinuousDistr

44.  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

45.  def variance: Double

    Definition Classes

    ApacheContinuousDistribution

46.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

48.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    Rand