Packages

abstract class Variate extends Error

The Variate abstract class serves as a base class for all the random variate (RV) generators. They use one of the Random Number Generators (RNG's) from Random to generate numbers following their particular distribution. Random Variate Generators (RVG's) for thirty popular probability distributions are implemented as extensions of Variate. Still need to add one.

See also

http://www.math.uah.edu/stat/special/index.html

VariateVec for Random MultiVariate Generators (RMVG's). -----------------------------------------------------------------------------

Linear Supertypes
Error, AnyRef, Any
Known Subclasses
Bernoulli, Beta, Binomial, Cauchy, ChiSquare, Dice, Discrete, DiscreteF, Erlang, Exponential, Fisher, Gamma, Geometric, HyperExponential, HyperGeometric, LogNormal, Logistic, NHPoissonProcess, NegativeBinomial, Normal, Pareto, Poisson, PoissonProcess, PowerLaw, Randi, Randi0, RandiU0, RandomStr, RandomWord, Sharp, StudentT, TimeVariate, Trapezoidal, Triangular, Trinomial, Uniform, Weibull, _HyperExponential
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Instance Constructors

  1. new Variate(stream: Int = 0)

    stream

    the random number stream

Abstract Value Members

  1. abstract def gen: Double

    Determine the next random number for the particular distribution.

  2. abstract def gen1(z: Double): Double

    Determine the next random number for the particular distribution.

    Determine the next random number for the particular distribution. This version allows one parameter.

    z

    the limit parameter

  3. abstract val mean: Double

    Precompute the mean for the particular distribution.

  4. abstract def pf(z: Double): Double

    Compute the probability function (pf): Either (a) the probability density function (pdf) for continuous RV's or (b) the probability mass function (pmf) for discrete RV's.

    Compute the probability function (pf): Either (a) the probability density function (pdf) for continuous RV's or (b) the probability mass function (pmf) for discrete RV's.

    z

    the mass point whose probability density/mass is sought

Concrete 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. var _discrete: Boolean

    Indicates whether the distribution is discrete or continuous (default)

    Indicates whether the distribution is discrete or continuous (default)

    Attributes
    protected
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  7. def discrete: Boolean

    Determine whether the distribution is discrete or continuous.

  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  11. final def getClass(): Class[_]
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  12. def hashCode(): Int
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  13. def igen: Int

    Determine the next random integer for the particular distribution.

    Determine the next random integer for the particular distribution. It is only valid for discrete random variates.

  14. def igen1(z: Double): Int

    Determine the next random integer for the particular distribution.

    Determine the next random integer for the particular distribution. It is only valid for discrete random variates. This version allows one parameter.

    z

    the limit parameter

  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  17. final def notify(): Unit
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  18. final def notifyAll(): Unit
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  19. def pmf(k: Int = 0): Array[Double]

    Return the entire probability mass function (pmf) for finite discrete RV's.

    Return the entire probability mass function (pmf) for finite discrete RV's.

    k

    number of objects of the first type

  20. val r: Random

    Random number stream selected by the stream number

    Random number stream selected by the stream number

    Attributes
    protected
  21. def sgen: String

    Determine the next random string for the particular distribution.

    Determine the next random string for the particular distribution. For better random strings, overide this method.

  22. def sgen1(z: Double): String

    Determine the next random string for the particular distribution.

    Determine the next random string for the particular distribution. For better random strings, overide this method. This version allows one parameter.

    z

    the limit parameter

  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
    AnyRef → Any
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws( ... ) @native()
  27. final def wait(): Unit
    Definition Classes
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    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

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