Packages

c

scalation.random

ProbabilityVec

case class ProbabilityVec(n: Int, d: Double = 0.5, stream: Int = 0) extends VariateVec with Product with Serializable

The ProbabilityVec class generates a probability vector where the 'i'th probability is '1/n' with a +/- randomizing displacement of at most 'd'. Note, the probability vector must add to one.

n

the dimension/size of the probability vector

d

the randomizing displacement, must be in [0, 1]

Linear Supertypes
Serializable, Serializable, Product, Equals, VariateVec, Error, AnyRef, Any
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Inherited
  1. ProbabilityVec
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. VariateVec
  7. Error
  8. AnyRef
  9. Any
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Instance Constructors

  1. new ProbabilityVec(n: Int, d: Double = 0.5, stream: Int = 0)

    n

    the dimension/size of the probability vector

    d

    the randomizing displacement, must be in [0, 1]

Value Members

  1. val d: Double
  2. def discrete: Boolean

    Determine whether the distribution is discrete or continuous.

    Determine whether the distribution is discrete or continuous.

    Definition Classes
    VariateVec
  3. final def flaw(method: String, message: String): Unit

    Show the flaw by printing the error message.

    Show the flaw by printing the error message.

    method

    the method where the error occurred

    message

    the error message

    Definition Classes
    Error
  4. def gen: VectoD

    Determine the next random double vector for the particular distribution.

    Determine the next random double vector for the particular distribution.

    Definition Classes
    ProbabilityVecVariateVec
  5. def igen: VectoI

    Determine the next random integer vector for the particular distribution.

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

    Definition Classes
    ProbabilityVecVariateVec
  6. def mean: VectoD

    Compute the vector mean for the particular distribution.

    Compute the vector mean for the particular distribution.

    Definition Classes
    ProbabilityVecVariateVec
  7. val n: Int
  8. def pf(z: VectoD): Double

    Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.

    Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.

    z

    the mass point/vector whose probability is sought

    Definition Classes
    ProbabilityVecVariateVec
  9. val stream: Int