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: 1.3.1
Depends: mvtnorm, corpcor, Matrix
Published: 2019-05-14
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_1.3.1.tar.gz
Windows binaries: r-devel: PoisNor_1.3.1.zip, r-devel-gcc8: PoisNor_1.3.1.zip, r-release: PoisNor_1.3.1.zip, r-oldrel: PoisNor_1.3.1.zip
OS X binaries: r-release: PoisNor_1.3.1.tgz, r-oldrel: PoisNor_1.3.1.tgz
Old sources: PoisNor archive

Reverse dependencies:

Reverse imports: wgeesel


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