epiflows: Predicting Disease Spread from Flow Data

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 (<http://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.

Version:	0.2.0
Depends:	R (≥ 3.4.0)
Imports:	epicontacts, leaflet, ggmap, geosphere, ggplot2, tibble, sp, htmlwidgets, stats, htmltools, visNetwork
Suggests:	testthat, roxygen2, knitr, outbreaks, vdiffr, curl, rmarkdown
Published:	2018-08-14
Author:	Pawel Piatkowski [aut, cre], Paula Moraga [aut], Isobel Blake [ctb, dtc], Thibaut Jombart [aut], VP Nagraj [aut], Zhian N. Kamvar [aut], Salla E. Toikkanen [aut]
Maintainer:	Pawel Piatkowski <pawel.piatkowski at posteo.net>
BugReports:	https://github.com/reconhub/epiflows/issues
License:	MIT + file LICENSE
URL:	https://www.repidemicsconsortium.org/epiflows
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	epiflows results

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