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), and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012).

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: VGAM, corpcor, mvtnorm, Matrix
Suggests: knitr, rmarkdown, testthat
Published: 2019-05-31
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

Downloads:

Reference manual: RNGforGPD.pdf
Vignettes: RNGfroGPD_vignette
Package source: RNGforGPD_1.0.1.tar.gz
Windows binaries: r-devel: RNGforGPD_1.0.1.zip, r-release: RNGforGPD_1.0.1.zip, r-oldrel: RNGforGPD_1.0.1.zip
OS X binaries: r-release: RNGforGPD_1.0.1.tgz, r-oldrel: RNGforGPD_1.0.1.tgz
Old sources: RNGforGPD archive

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