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) .


Reference manual

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1.0.0 by Qingyuan Zhao, 2 years ago

Browse source code at

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

Documentation:   PDF Manual  

CC BY 4.0 license

Imports stats, rootSolve, parallel

See at CRAN