PoisBinNonNor: Data Generation with Poisson, Binary and Continuous Components

Generation of multiple count, binary and continuous variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya et al. (2015) <doi:10.1080/00949655.2014.953534>.

Version:	1.3.3
Depends:	BB, corpcor, Matrix, mvtnorm
Published:	2021-03-22
Author:	Gul Inan, Hakan Demirtas, Ran Gao
Maintainer:	Ran Gao <rgao8 at uic.edu>
License:	GPL-2 | GPL-3
NeedsCompilation:	no
CRAN checks:	PoisBinNonNor results

Documentation:

Reference manual:

PoisBinNonNor.pdf

Downloads:

Package source:	PoisBinNonNor_1.3.3.tar.gz
Windows binaries:	r-devel: PoisBinNonNor_1.3.3.zip, r-release: PoisBinNonNor_1.3.3.zip, r-oldrel: PoisBinNonNor_1.3.3.zip
macOS binaries:	r-release (arm64): PoisBinNonNor_1.3.3.tgz, r-oldrel (arm64): PoisBinNonNor_1.3.3.tgz, r-release (x86_64): PoisBinNonNor_1.3.3.tgz, r-oldrel (x86_64): PoisBinNonNor_1.3.3.tgz
Old sources:	PoisBinNonNor archive

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