The R Journal: article published in 2020, volume 12:2

RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data
Hesen Li, Hakan Demirtas and Ruizhe Chen , The R Journal (2020) 12:2, pages 120-133.

Abstract This article describes the R package RNGforGPD, which is designed for the generation of univariate and multivariate generalized Poisson data. Some illustrative examples are given, the utility and functionality of the package are demonstrated; and its performance is assessed via simulations that are devised around both artificial and real data.

Received: 2019-07-26; online 2021-01-14, supplementary material, (7 KiB)
CRAN packages: RNGforGPD, mvtnorm, corpcor, Matrix, ggplot2, robustbase, MixAll
CRAN Task Views implied by cited CRAN packages: Multivariate, Cluster, Distributions, Econometrics, Finance, Graphics, NumericalMathematics, Phylogenetics, Robust, TeachingStatistics

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-007,
  author = {Hesen Li and Hakan Demirtas and Ruizhe Chen},
  title = {{RNGforGPD: An R Package for Generation of Univariate and
          Multivariate Generalized Poisson Data}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-007},
  url = {https://doi.org/10.32614/RJ-2021-007},
  pages = {120--133},
  volume = {12},
  number = {2}
}