NegativeBinomial

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: Int): Double

   Returns the unnormalized value of the measure

   Returns the unnormalized value of the measure

   Definition Classes

   DiscreteDistr → Measure

7. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

8. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws()

9. def condition(p: (Int) ⇒ Boolean): Rand[Int]

   Definition Classes

   Rand

10. def draw(): Int

    Gets one sample from the distribution.

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

    Definition Classes

    NegativeBinomial → Rand

11. def drawOpt(): Option[Int]

    Attributes

    protected

    Definition Classes

    Rand

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

    Definition Classes

    AnyRef

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

    Definition Classes

    Rand

14. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws()

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

    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: Int): Double

    Returns the log unnormalized value of the measure

    Returns the log unnormalized value of the measure

    Definition Classes

    DiscreteDistr → Measure

21. def logProbabilityOf(k: Int): Double

    Definition Classes

    NegativeBinomial → DiscreteDistr

22. def map[E](f: (Int) ⇒ 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

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

    Definition Classes

    AnyRef

24. final def notify(): Unit

    Definition Classes

    AnyRef

25. final def notifyAll(): Unit

    Definition Classes

    AnyRef

26. val p: Double

    prob of success

27. def probabilityOf(x: Int): Double

    Returns the probability of that draw.

    Returns the probability of that draw.

    Definition Classes

    NegativeBinomial → DiscreteDistr

28. val r: Double

    number of failures until stop

29. def sample(n: Int): IndexedSeq[Int]

    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes

    Rand

30. def sample(): Int

    Gets one sample from the distribution.

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

    Definition Classes

    Rand

31. def samples: Iterator[Int]

    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

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

    Definition Classes

    AnyRef

33. def unnormalizedLogProbabilityOf(x: Int): Double

    Definition Classes

    DiscreteDistr

34. def unnormalizedProbabilityOf(x: Int): Double

    Returns the probability of that draw up to a constant

    Returns the probability of that draw up to a constant

    Definition Classes

    DiscreteDistr

35. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws()

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

    Definition Classes

    AnyRef

    Annotations

    @throws()

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

    Definition Classes

    AnyRef

    Annotations

    @throws()

38. def withFilter(p: (Int) ⇒ Boolean): Rand[Int]

    Definition Classes

    Rand