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A wide collection of univariate discrete data sets from various applied domains related to distribution theory. The functions allow quick, easy, and efficient access to 100 univariate discrete data sets. The data are related to different applied domains, including medical, reliability analysis, engineering, manufacturing, occupational safety, geological sciences, terrorism, psychology, agriculture, environmental sciences, road traffic accidents, demography, actuarial science, law, and justice. The documentation, along with associated references for further details and uses, is presented.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0) |
| Published: | 2023-06-15 |
| DOI: | 10.32614/CRAN.package.DDPM |
| Author: | Christophe Chesneau [aut], Muhammad Imran [aut, cre], M.H Tahir [aut], Farrukh Jamal [aut] |
| Maintainer: | Muhammad Imran <imranshakoor84 at yahoo.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | ActuarialScience |
| CRAN checks: | DDPM results |
| Reference manual: | DDPM.pdf |
| Package source: | DDPM_0.1.0.tar.gz |
| Windows binaries: | r-devel: DDPM_0.1.0.zip, r-release: DDPM_0.1.0.zip, r-oldrel: DDPM_0.1.0.zip |
| macOS binaries: | r-release (arm64): DDPM_0.1.0.tgz, r-oldrel (arm64): DDPM_0.1.0.tgz, r-release (x86_64): DDPM_0.1.0.tgz, r-oldrel (x86_64): DDPM_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.