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A system contains easy-to-use tools for the conditional estimation of the prevalence of an emerging or rare infectious diseases using the methods proposed in Guerrier et al. (2023) <doi:10.48550/arXiv.2012.10745>.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0.0) |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-10-09 |
| DOI: | 10.32614/CRAN.package.pempi |
| Author: | Stéphane Guerrier [aut, cre], Maria-Pia Victoria-Feser [aut], Christoph Kuzmics [aut] |
| Maintainer: | Stéphane Guerrier <stef.guerrier at gmail.com> |
| BugReports: | https://github.com/stephaneguerrier/pempi/issues |
| License: | AGPL-3 |
| URL: | https://github.com/stephaneguerrier/pempi |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | pempi results |
| Reference manual: | pempi.pdf |
| Vignettes: |
'pempi' Vignette Results Reproducibility |
| Package source: | pempi_1.0.0.tar.gz |
| Windows binaries: | r-devel: pempi_1.0.0.zip, r-release: pempi_1.0.0.zip, r-oldrel: pempi_1.0.0.zip |
| macOS binaries: | r-release (arm64): pempi_1.0.0.tgz, r-oldrel (arm64): pempi_1.0.0.tgz, r-release (x86_64): pempi_1.0.0.tgz, r-oldrel (x86_64): pempi_1.0.0.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.