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.
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2021-007.zip
RNGforGPD, mvtnorm, corpcor, Matrix, ggplot2, robustbase, MixAll
Multivariate, Cluster, Distributions, Econometrics, Finance, Graphics, NumericalMathematics, Phylogenetics, Robust, TeachingStatistics
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For attribution, please cite this work as
Li, et al., "The R Journal: RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data", The R Journal, 2021
BibTeX citation
@article{RJ-2021-007,
author = {Li, Hesen and Demirtas, Hakan and Chen, Ruizhe},
title = {The R Journal: RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-007},
doi = {10.32614/RJ-2021-007},
volume = {12},
issue = {2},
issn = {2073-4859},
pages = {120-133}
}