bets.covid19: A package for analyzing early epidemic data
In bets.covid19: The BETS Model for Early Epidemic Data
Description
The BETSbets.covid19 package provides likelihood inference for early epidemic data with four key epidemiological events: Beginning of exposure, End of exposure, time of Transmission, and time of Symptom onset. It jointly estimates the epidemic doubling time and incubation period and is able to correct for different kinds of sample selection.
References
Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado, and Rajen Shah. "BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic", 2020. arXiv:2004.07743.
bets.covid19 documentation built on July 2, 2020, 2:14 a.m.
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Description
The BETSbets.covid19 package provides likelihood inference for early epidemic data with four key epidemiological events: Beginning of exposure, End of exposure, time of Transmission, and time of Symptom onset. It jointly estimates the epidemic doubling time and incubation period and is able to correct for different kinds of sample selection.
References
Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado, and Rajen Shah. "BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic", 2020. arXiv:2004.07743.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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