The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.PoisNor
Author: Anup Amatya, Hakan Demirtas, Ran Gao
Maintainer: Ran Gao <rgao8 at uic.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: PoisNor results

Documentation:

Reference manual: PoisNor.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PoisNor to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.