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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 |
| 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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