The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| DOI: | 10.32614/CRAN.package.bets.covid19 |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=bets.covid19 to link to this page.
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.