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>.

Version: 1.0.0
Depends: R (≥ 3.4.0)
Imports: stats, rootSolve, parallel
Published: 2020-05-12
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
CRAN checks: bets.covid19 results

Documentation:

Reference manual: bets.covid19.pdf

Downloads:

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-release (x86_64): bets.covid19_1.0.0.tgz, r-oldrel: bets.covid19_1.0.0.tgz

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