Provides functions and graphics for projecting daily incidence based on past incidence, and estimates of the serial interval and reproduction number. Projections are based on a branching process using a Poisson-distributed number of new cases per day, similar to the model used for estimating R0 in 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017) <doi:10.1016/j.epidem.2017.02.012>.
Version: | 0.3.1 |
Depends: | R (≥ 3.3.0) |
Imports: | stats, utils, incidence (≥ 1.4.1), distcrete, ggplot2 |
Suggests: | testthat, vdiffr, roxygen2, knitr, rmarkdown, outbreaks, magrittr |
Published: | 2018-08-27 |
Author: | Thibaut Jombart [aut, cre], Pierre Nouvellet [aut], Sangeeta Bhatia [ctb], Zhian N. Kamvar [ctb] |
Maintainer: | Thibaut Jombart <thibautjombart at gmail.com> |
BugReports: | http://github.com/reconhub/projections/issues |
License: | MIT + file LICENSE |
URL: | http://www.repidemicsconsortium.org/projections |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | projections results |
Reference manual: | projections.pdf |
Package source: | projections_0.3.1.tar.gz |
Windows binaries: | r-devel: projections_0.3.1.zip, r-release: projections_0.3.1.zip, r-oldrel: projections_0.3.1.zip |
OS X binaries: | r-release: projections_0.3.1.tgz, r-oldrel: projections_0.3.1.tgz |
Old sources: | projections archive |
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