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Implements likelihood inference for early epidemic analysis. BETS is short for the four key epidemiological events being modeled: Begin of exposure, End of exposure, time of Transmission, and time of Symptom onset. The package contains a dataset of the trajectory of confirmed cases during the coronavirus disease (COVID-19) early outbreak. More detail of the statistical methods can be found in Zhao et al. (2020) <doi:10.48550/arXiv.2004.07743>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | stats, rootSolve, parallel |
| Published: | 2020-05-12 |
| Author: | Qingyuan Zhao [aut, cre], Nianqiao Ju [aut] |
| Maintainer: | Qingyuan Zhao <qyzhao at statslab.cam.ac.uk> |
| License: | CC BY 4.0 |
| URL: | https://github.com/qingyuanzhao/bets.covid19 |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | Epidemiology |
| CRAN checks: | bets.covid19 results |
| Reference manual: | bets.covid19.pdf |
| Package source: | bets.covid19_1.0.0.tar.gz |
| Windows binaries: | r-devel: bets.covid19_1.0.0.zip, r-release: bets.covid19_1.0.0.zip, r-oldrel: bets.covid19_1.0.0.zip |
| macOS binaries: | r-release (arm64): bets.covid19_1.0.0.tgz, r-oldrel (arm64): bets.covid19_1.0.0.tgz, r-release (x86_64): bets.covid19_1.0.0.tgz, r-oldrel (x86_64): bets.covid19_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.
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