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: 1.0.3
Depends: R (≥ 3.5.0)
Imports: VGAM, corpcor, mvtnorm, Matrix
Suggests: knitr, rmarkdown
Published: 2020-09-17
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_1.0.3.tar.gz
Windows binaries: r-devel: RNGforGPD_1.0.3.zip, r-release: RNGforGPD_1.0.3.zip, r-oldrel: RNGforGPD_1.0.3.zip
macOS binaries: r-release: RNGforGPD_1.0.3.tgz, r-oldrel: RNGforGPD_1.0.3.tgz
Old sources: RNGforGPD archive


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