Distributions

Value Members

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

   

   Definition Classes

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2. final def ##(): Int

   

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

   

   Definition Classes

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4. def F(d1: Int, d2: Int): Distribution[Double]

   

5. object H extends Coin with Product with Serializable

   

6. object T extends Coin with Product with Serializable

   

7. def always[A](value: A): Distribution[A]

   

8. final def asInstanceOf[T0]: T0

   

   Definition Classes

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9. def bernoulli(p: Double = 0.5): Distribution[Int]

   

10. def beta(a: Double, b: Double): Distribution[Double]

    

11. def biasedCoin(p: Double): Distribution[Coin]

    

12. def binomial(p: Double, n: Int): Distribution[Int]

    

13. def cauchy: Distribution[Double]

    

14. def chi2(n: Int): Distribution[Double]

    

15. def chi2test[A, B](d: Distribution[(A, B)]): Double

    

    Determine if a joint probability distribution is composed of 2 independent events.

    Determine if a joint probability distribution is composed of 2 independent events. Uses the G-test: http://en.wikipedia.org/wiki/G-test

16. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

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    @throws( ... )

17. def coin: Distribution[Coin]

    

18. def d(n: Int): Distribution[Int]

    

19. def dice(n: Int): Distribution[List[Int]]

    

20. def die: Distribution[Int]

    

21. def dirichlet(alphas: List[Double]): Distribution[List[Double]]

    

22. def discrete[A](weightedValues: (A, Double)*): Distribution[A]

    

23. def discreteUniform[A](values: Iterable[A]): Distribution[A]

    

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

    

    Definition Classes

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25. def equals(arg0: Any): Boolean

    

    Definition Classes

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26. def exponential(l: Double): Distribution[Double]

    

27. def finalize(): Unit

    

    Attributes

    protected[java.lang]

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

28. def freeze[A](d: Distribution[A], sampleSize: Int = 100000): Distribution[A]

    

    "Freeze" a distribution by taking a sample and serving values out of that sample at random.

    "Freeze" a distribution by taking a sample and serving values out of that sample at random. Useful for when a distribution is expensive to compute and is being sampled from repeatedly.

29. def gamma(k: Double, theta: Double): Distribution[Double]

    

30. def geometric(p: Double): Distribution[Int]

    

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

    

    Definition Classes

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32. def hashCode(): Int

    

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33. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

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34. def ksTest[A](d1: Distribution[A], d2: Distribution[A])(implicit ord: Ordering[A]): Double

    

    Tests if two probability distributions are the same using the Kolmogorov-Smirnov test.

    Tests if two probability distributions are the same using the Kolmogorov-Smirnov test. The distributions are unlikely to be the same (p < 0.05) if the value is greater than 1.35 and very unlikely (p < 0.001) if the value is greater than 1.95.

35. def laplace(b: Double): Distribution[Double]

    

36. def lognormal: Distribution[Double]

    

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

    

    Definition Classes

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38. def negativeBinomial(p: Double, r: Int): Distribution[Int]

    

39. object normal extends Distribution[Double]

    

40. final def notify(): Unit

    

    Definition Classes

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41. final def notifyAll(): Unit

    

    Definition Classes

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42. def pareto(a: Double, xm: Double = 1.0): Distribution[Double]

    

43. def poisson(lambda: Double): Distribution[Int]

    

44. def sequence[T](ds: List[Distribution[T]]): Distribution[List[T]]

    

45. def students_t(df: Int): Distribution[Double]

    

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

    

    Definition Classes

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47. def tf(p: Double = 0.5): Distribution[Boolean]

    

48. def toString(): String

    

    Definition Classes

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49. object uniform extends Distribution[Double]

    

    Continuous distributions

50. final def wait(): Unit

    

    Definition Classes

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    Annotations

    @throws( ... )

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

    

    Definition Classes

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

    

    Definition Classes

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53. def weibull(l: Double, k: Double): Distribution[Double]

    

54. def zipf(s: Double, n: Int): Distribution[Int]