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: | 0.0.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | stats, distcrete, EpiEstim, epitrix |
| Suggests: | testthat, vdiffr, roxygen2, incidence, knitr |
| Published: | 2017-12-06 |
| Author: | Thibaut Jombart [aut, cre], Anne Cori [aut], Pierre Nouvellet [aut] |
| Maintainer: | Thibaut Jombart <thibautjombart at gmail.com> |
| BugReports: | https://github.com/reconhub/earlyR/issues |
| License: | MIT + file LICENSE |
| URL: | http://www.repidemicsconsortium.org/earlyR |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | earlyR results |
| Reference manual: | earlyR.pdf |
| Package source: | earlyR_0.0.1.tar.gz |
| Windows binaries: | r-devel: earlyR_0.0.1.zip, r-release: earlyR_0.0.1.zip, r-oldrel: earlyR_0.0.1.zip |
| macOS binaries: | r-release: earlyR_0.0.1.tgz, r-oldrel: earlyR_0.0.1.tgz |
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