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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>.
| Version: | 1.3.3 |
| Depends: | mvtnorm, corpcor, Matrix |
| Published: | 2021-03-21 |
| Author: | Anup Amatya, Hakan Demirtas, Ran Gao |
| Maintainer: | Ran Gao <rgao8 at uic.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | PoisNor results |
| Reference manual: | PoisNor.pdf |
| Package source: | PoisNor_1.3.3.tar.gz |
| Windows binaries: | r-devel: PoisNor_1.3.3.zip, r-release: PoisNor_1.3.3.zip, r-oldrel: PoisNor_1.3.3.zip |
| macOS binaries: | r-release (arm64): PoisNor_1.3.3.tgz, r-oldrel (arm64): PoisNor_1.3.3.tgz, r-release (x86_64): PoisNor_1.3.3.tgz, r-oldrel (x86_64): PoisNor_1.3.3.tgz |
| Old sources: | PoisNor archive |
| Reverse imports: | ELCIC, wgeesel |
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