PoisNor: Simultaneous Generation of Multivariate Data with Poisson and
Normal Marginals
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.
| Version: |
1.2 |
| Depends: |
mvtnorm, corpcor, Matrix |
| Published: |
2018-02-11 |
| Author: |
Anup Amatya and Hakan Demirtas |
| Maintainer: |
Anup Amatya <aamatya at nmsu.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
PoisNor results |
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