Generation of univariate and multivariate data that follow the generalized Poisson distribution. The details of the univariate part are explained in Demirtas (2017), and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012).
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | VGAM, corpcor, mvtnorm, Matrix |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2019-06-26 |
| 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: |
RNGfroGPD_vignette |
| Package source: | RNGforGPD_1.0.2.tar.gz |
| Windows binaries: | r-devel: RNGforGPD_1.0.2.zip, r-release: RNGforGPD_1.0.2.zip, r-oldrel: RNGforGPD_1.0.2.zip |
| macOS binaries: | r-release: RNGforGPD_1.0.2.tgz, r-oldrel: RNGforGPD_1.0.2.tgz |
| Old sources: | RNGforGPD archive |
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