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Epidemiological population dynamics models traditionally define a pathogen's virulence as the increase in the per capita rate of mortality of infected hosts due to infection. This package provides functions allowing virulence to be estimated by maximum likelihood techniques. The approach is based on the analysis of relative survival comparing survival in matching cohorts of infected vs. uninfected hosts (Agnew 2019) <doi:10.1101/530709>.
| Version: | 0.1.0 |
| Depends: | bbmle, R (≥ 2.10), stats4 |
| Suggests: | knitr, rmarkdown, stats, testthat |
| Published: | 2020-10-24 |
| DOI: | 10.32614/CRAN.package.anovir |
| Author: | Philip Agnew [aut, cre], Jimmy Lopez [aut] |
| Maintainer: | Philip Agnew <philip.agnew at ird.fr> |
| License: | GPL-3 |
| URL: | https://www.biorxiv.org/content/10.1101/530709v1 |
| NeedsCompilation: | no |
| CRAN checks: | anovir results |
| Package source: | anovir_0.1.0.tar.gz |
| Windows binaries: | r-devel: anovir_0.1.0.zip, r-release: anovir_0.1.0.zip, r-oldrel: anovir_0.1.0.zip |
| macOS binaries: | r-release (arm64): anovir_0.1.0.tgz, r-oldrel (arm64): anovir_0.1.0.tgz, r-release (x86_64): anovir_0.1.0.tgz, r-oldrel (x86_64): anovir_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.