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SSJ V. 2.6. |
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See:
Description
Class Summary | |
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DirichletGen | Extends RandomMultivariateGen for a
Dirichlet distribution. |
IIDMultivariateGen | Extends RandomMultivariateGen for a vector of independent identically distributed
(i.i.d.) random variables. |
MultinormalCholeskyGen | Extends MultinormalGen for a multivariate normal distribution, generated via a Cholesky decomposition of the covariance
matrix. |
MultinormalGen | Extends RandomMultivariateGen for a
multivariate normal (or multinormal) distribution. |
MultinormalPCAGen | Extends MultinormalGen for a multivariate normal distribution, generated via the method of principal components analysis
(PCA) of the covariance matrix. |
RandomMultivariateGen | This class is the multivariate counterpart of
RandomVariateGen . |
This package provides a collection of classes for non-uniform random variate generation, very similar to randvar, but for multivariate distributions.
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SSJ V. 2.6. |
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