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


Reference manual: PoisNor.pdf
Package source: PoisNor_1.2.tar.gz
Windows binaries: r-devel: PoisNor_1.2.zip, r-release: PoisNor_1.2.zip, r-oldrel: PoisNor_1.2.zip
OS X binaries: r-release: PoisNor_1.2.tgz, r-oldrel: PoisNor_1.2.tgz
Old sources: PoisNor archive

Reverse dependencies:

Reverse imports: wgeesel


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