RNGforGPD: Random Number Generation for Generalized Poisson Distribution

Generation of univariate and multivariate data that follow the generalized Poisson distribution. The details of the univariate part are explained in Demirtas (2017) <doi:10.1080/03610918.2014.968725>, and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012) <doi:10.1002/asmb.901>.

Version:	1.1.0
Depends:	R (≥ 3.5.0)
Imports:	corpcor, mvtnorm, Matrix
Suggests:	knitr, rmarkdown
Published:	2020-11-18
Author:	Hesen Li, Ruizhe Chen, Hai Nguyen, Yu-Che Chung, Ran Gao, Hakan Demirtas
Maintainer:	Ruizhe Chen <rchen18 at uic.edu>
License:	GPL-2 | GPL-3
NeedsCompilation:	no
CRAN checks:	RNGforGPD results

Documentation:

Reference manual:	RNGforGPD.pdf
Vignettes:	Using the RNGforGPD package

Downloads:

Package source:	RNGforGPD_1.1.0.tar.gz
Windows binaries:	r-devel: RNGforGPD_1.1.0.zip, r-release: RNGforGPD_1.1.0.zip, r-oldrel: RNGforGPD_1.1.0.zip
macOS binaries:	r-release (arm64): RNGforGPD_1.1.0.tgz, r-oldrel (arm64): RNGforGPD_1.1.0.tgz, r-release (x86_64): RNGforGPD_1.1.0.tgz, r-oldrel (x86_64): RNGforGPD_1.1.0.tgz
Old sources:	RNGforGPD archive

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