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
Repository: https://qingyuanzhao.r-universe.dev
Date/Publication: 2020-06-01 18:24:53 UTC
RemoteUrl: https://github.com/qingyuanzhao/bets.covid19
RemoteRef: HEAD
RemoteSha: b9ad1400d0b96bdd75889b97a81113a65e7cbf88
NeedsCompilation: no
Packaged: 2026-06-18 07:30:53 UTC; root
Author: Qingyuan Zhao [aut, cre],
  Nianqiao Ju [aut]
Maintainer: Qingyuan Zhao <qyzhao@statslab.cam.ac.uk>