Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture.
|Author||Anup Amatya and Hakan Demirtas|
|Maintainer||Anup Amatya <[email protected]>|
|Package repository||View on CRAN|
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