Package: RNGforGPD 1.1.0

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) <doi:10.1080/03610918.2014.968725>, and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012) <doi:10.1002/asmb.901>.

Authors:Hesen Li, Ruizhe Chen, Hai Nguyen, Yu-Che Chung, Ran Gao, Hakan Demirtas

RNGforGPD_1.1.0.tar.gz
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RNGforGPD.pdf |RNGforGPD.html✨
RNGforGPD/json (API)

# Install 'RNGforGPD' in R:
install.packages('RNGforGPD', repos = c('https://rchen18.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7 exports 1 stars 0.82 score 4 dependencies 2 dependents 11 scripts 263 downloads

Last updated 4 years agofrom:b412193093. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-winOKAug 27 2024
R-4.5-linuxOKAug 27 2024
R-4.4-winOKAug 27 2024
R-4.4-macOKAug 27 2024
R-4.3-winOKAug 27 2024
R-4.3-macOKAug 27 2024

Exports:CmatStarGpoisComputeCorrGpoisCorrNNGpoisGenMVGpoisGenUniGpoisQuantileGpoisValidCorrGpois

Dependencies:corpcorlatticeMatrixmvtnorm

Using the RNGforGPD package

Hesen Li, Ruizhe Chen, Hai Nguyen, Yu-Che Chung, Ran Gao, Hakan Demirtas

Rendered fromRNGforGPD.Rmdusingknitr::rmarkdownon Aug 27 2024.

Last update: 2020-11-18
Started: 2020-09-17