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. 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

Downloads:

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-release (x86_64): PoisNor_1.3.3.tgz, r-oldrel: PoisNor_1.3.3.tgz
Old sources: PoisNor archive

Reverse dependencies:

Reverse imports: wgeesel

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