RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data

Hesen Li; Hakan Demirtas; Ruizhe Chen

doi:10.32614/rj-2021-007

RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data

Hesen Li, Hakan Demirtas, Ruizhe Chen

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	1-16
Number of pages	16
Journal	R Journal
Volume	12
DOIs	https://doi.org/10.32614/rj-2021-007
State	Published - 2020
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
Numerical Analysis
Statistics, Probability and Uncertainty

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10.32614/rj-2021-007

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title = "RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data",

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.",

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Y1 - 2020

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AB - 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.

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RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data

Abstract

ASJC Scopus subject areas

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