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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. The details of the method are explained in Yahav et al. (2012) <DOI:10.1002/asmb.901>.
Package details |
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Author | Anup Amatya, Hakan Demirtas, Ran Gao |
Maintainer | Ran Gao <rgao8@uic.edu> |
License | GPL-2 |
Version | 1.3.3 |
Package repository | View on CRAN |
Installation |
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