Package: bets.covid19 1.0.0

Qingyuan Zhao

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>.

Authors:Qingyuan Zhao [aut, cre], Nianqiao Ju [aut]

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Peer review:

Bug tracker:https://github.com/qingyuanzhao/bets.covid19/issues

On CRAN:

2019-ncov

5 exports 27 stars 2.39 score 1 dependencies 2 scripts 236 downloads

Last updated 4 years agofrom:b9ad1400d0. Checks:OK: 7. Indexed: yes.

Exports:age.processbets.inferencebets.likelihooddate.processpreprocess.data

Dependencies:rootSolve