projections

Project Future Case Incidence

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>.

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Package
projections
Title
Project Future Case Incidence
Version
0.3.1
Description
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) .
Depends
R (>= 3.3.0)
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
Suggests
testthat, vdiffr, roxygen2, knitr, rmarkdown, outbreaks, magrittr
Imports
stats, utils, incidence (>= 1.4.1), distcrete, ggplot2
RoxygenNote
6.1.0
URL
BugReports
http://github.com/reconhub/projections/issues
NeedsCompilation
no
Packaged
2018-08-24 20:29:05 UTC; zkamvar
Author
Thibaut Jombart [aut, cre], Pierre Nouvellet [aut], Sangeeta Bhatia [ctb], Zhian N. Kamvar [ctb]
Maintainer
Thibaut Jombart
Repository
CRAN
Date/Publication
2018-08-27 09:40:03 UTC

install.packages('projections')

0.3.1

3 months ago

http://www.repidemicsconsortium.org/projections

Thibaut Jombart

MIT + file LICENSE

Depends on

R (>= 3.3.0)

Imports

stats, utils, incidence (>= 1.4.1), distcrete, ggplot2

Suggests

testthat, vdiffr, roxygen2, knitr, rmarkdown, outbreaks, magrittr

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