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
DOI: 10.32614/CRAN.package.RNGforGPD
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


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


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

Reverse dependencies:

Reverse imports: gp


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