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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Instance Constructors
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new
VariateMat(stream: Int = 0)
- stream
the random number stream
Abstract Value Members
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abstract
def
gen: MatrixD
Determine the next random double matrix for the particular distribution.
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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.
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abstract
def
mean: MatrixD
Compute the matrix mean for the particular distribution.
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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
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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.
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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.
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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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
asInstanceOf[T0]: T0
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clone(): AnyRef
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def
discrete: Boolean
Determine whether the distribution is discrete or continuous.
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final
def
eq(arg0: AnyRef): Boolean
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equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
flaw(method: String, message: String): Unit
Show the flaw by printing the error message.
Show the flaw by printing the error message.
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the method where the error occurred
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the error message
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def
getClass(): Class[_]
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hashCode(): Int
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def
notify(): Unit
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final
def
notifyAll(): Unit
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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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def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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