Implements a simple, likelihood-based estimation of the reproduction number (R0) using a branching process with a Poisson likelihood. This model requires knowledge of the serial interval distribution, and dates of symptom onsets. Infectiousness is determined by weighting R0 by the probability mass function of the serial interval on the corresponding day. It is a simplified version of the model introduced by Cori et al. (2013) <doi:10.1093/aje/kwt133>.
Version: 0.0.5 Depends: R (≥ 3.3.0) Imports: stats, distcrete, EpiEstim, epitrix, ggplot2 Suggests: testthat, vdiffr, roxygen2, incidence, knitr, rmarkdown, projections, covr Published: 2020-10-27 DOI: 10.32614/CRAN.package.earlyR Author: Thibaut Jombart [aut, cre], Anne Cori [aut], Pierre Nouvellet [aut], Janetta Skarp [aut], Zhian N. Kamvar [ctb], Tim Taylor [ctb] Maintainer: Thibaut Jombart <thibautjombart at gmail.com> BugReports: https://github.com/reconhub/earlyR/issues License: MIT + file LICENSE URL: https://www.repidemicsconsortium.org/earlyR/ NeedsCompilation: no Materials: NEWS In views: Epidemiology CRAN checks: earlyR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=earlyR to link to this page.
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