doi:10.2807/1560-7917.ES.2017.22.28.30572>. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.">

epiflows: Predicting Disease Spread from Flow Data (original) (raw)

Provides functions and classes designed to handle and visualise epidemiological flows between locations. Also contains a statistical method for predicting disease spread from flow data initially described in Dorigatti et al. (2017) <doi:10.2807/1560-7917.ES.2017.22.28.30572>. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.

Version:

0.2.1

Depends:

R (≥ 3.4.0)

Imports:

epicontacts, leaflet, ggmap, geosphere, ggplot2, tibble, sp, stats, htmltools, visNetwork

Suggests:

testthat, roxygen2, knitr, outbreaks, vdiffr, curl, rmarkdown

Published:

2023-04-09

DOI:

10.32614/CRAN.package.epiflows

Author:

Pawel Piatkowski ORCID iD [aut, cre], Paula Moraga ORCID iD [aut], Isobel Blake [ctb, dtc], Thibaut Jombart [aut], VP Nagraj [aut], Zhian N. Kamvar ORCID iD [aut], Salla E. Toikkanen [aut]

Maintainer:

Pawel Piatkowski <pawel.piatkowski at posteo.net>

BugReports:

https://github.com/reconhub/epiflows/issues

License:

MIT + file

URL:

https://www.repidemicsconsortium.org/epiflows/

NeedsCompilation:

no

Citation:

epiflows citation info

Materials:

NEWS

In views:

Epidemiology

CRAN checks:

epiflows results