abstract class VariateMat extends Error
The VariateMat
abstract class serves as a base class for all the random
variate matrix (RVM) generators. They use one of the Random Number Generators
(RNG's) from Random.scala to generate numbers following their particular
multivariate distribution.
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- new VariateMat(stream: Int = 0)
- stream
the random number stream
Abstract Value Members
- abstract def gen: MatrixD
Determine the next random double matrix for the particular distribution.
- abstract def igen: MatrixI
Determine the next random integer matrix for the particular distribution.
Determine the next random integer matrix for the particular distribution. It is only valid for discrete random variates.
- abstract def mean: MatrixD
Compute the matrix mean for the particular distribution.
- abstract def pf(z: MatrixD): Double
Compute the probability function (pf): The probability density function (pdf) for continuous RVM's or the probability mass function (pmf) for discrete RVM's.
Compute the probability function (pf): The probability density function (pdf) for continuous RVM's or the probability mass function (pmf) for discrete RVM's.
- z
the mass point/matrix whose probability is sought
- abstract def rlegenc: RleMatrixD
Determine the next random Rle matrix for the particular distribution.
Determine the next random Rle matrix for the particular distribution. Repetition based upon runLength is used to create column vectors.
- abstract def rlegenr: RleMatrixD
Determine the next random Rle matrix for the particular distribution.
Determine the next random Rle matrix for the particular distribution. Repetition based upon runLength is used to create row vectors.
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- var _discrete: Boolean
Indicates whether the distribution is discrete or continuous (default)
Indicates whether the distribution is discrete or continuous (default)
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- def discrete: Boolean
Determine whether the distribution is discrete or continuous.
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- val r: Random
Random number stream selected by the stream number
Random number stream selected by the stream number
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