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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>.
Version: | 1.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | corpcor, mvtnorm, Matrix |
Suggests: | knitr, rmarkdown |
Published: | 2020-11-18 |
DOI: | 10.32614/CRAN.package.RNGforGPD |
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_1.1.0.tar.gz |
Windows binaries: | r-devel: RNGforGPD_1.1.0.zip, r-release: RNGforGPD_1.1.0.zip, r-oldrel: RNGforGPD_1.1.0.zip |
macOS binaries: | r-release (arm64): RNGforGPD_1.1.0.tgz, r-oldrel (arm64): RNGforGPD_1.1.0.tgz, r-release (x86_64): RNGforGPD_1.1.0.tgz, r-oldrel (x86_64): RNGforGPD_1.1.0.tgz |
Old sources: | RNGforGPD archive |
Reverse imports: | gp |
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These binaries (installable software) and packages are in development.
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