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bets.covid19: The BETS Model for Early Epidemic Data
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) <arXiv:2004.07743>.
Getting started
Browse package contents
Package details |
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| Author | Qingyuan Zhao [aut, cre], Nianqiao Ju [aut] |
| Maintainer | Qingyuan Zhao <qyzhao@statslab.cam.ac.uk> |
| License | CC BY 4.0 |
| Version | 1.0.0 |
| URL | https://github.com/qingyuanzhao/bets.covid19 |
| Package repository | View on CRAN |
| Installation |
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