PoisNor: Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals (original) (raw)
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>.
| Version: | 1.3.3 |
|---|---|
| Depends: | mvtnorm, corpcor, Matrix |
| Published: | 2021-03-21 |
| DOI: | 10.32614/CRAN.package.PoisNor |
| Author: | Anup Amatya, Hakan Demirtas, Ran Gao |
| Maintainer: | Ran Gao |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | PoisNor results |
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