Package: bets.covid19
Title: The BETS Model for Early Epidemic Data
Version: 1.0.0
Date: 2020-05-07
Authors@R: c(person("Qingyuan", "Zhao", email = "qyzhao@statslab.cam.ac.uk", role = c("aut", "cre")),person("Nianqiao", "Ju", email = "nju@g.harvard.edu", role = "aut"))
Description: 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>.
Depends: R (>= 3.4.0),
Imports: stats, rootSolve, parallel
License: CC BY 4.0
URL: https://github.com/qingyuanzhao/bets.covid19
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-05-09 14:37:21 UTC; qyzhao
Author: Qingyuan Zhao [aut, cre],
  Nianqiao Ju [aut]
Maintainer: Qingyuan Zhao <qyzhao@statslab.cam.ac.uk>
Repository: CRAN
Date/Publication: 2020-05-12 09:50:06 UTC
Built: R 4.6.0; ; 2026-04-25 16:58:49 UTC; unix
