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 (<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 LICENSE
URL: https://www.repidemicsconsortium.org/epiflows/
NeedsCompilation: no
Citation: epiflows citation info
Materials: NEWS
In views: Epidemiology
CRAN checks: epiflows results


Reference manual: epiflows.pdf
Vignettes: 01 Data Preparation
00 Overview


Package source: epiflows_0.2.1.tar.gz
Windows binaries: r-devel: epiflows_0.2.1.zip, r-release: epiflows_0.2.1.zip, r-oldrel: epiflows_0.2.1.zip
macOS binaries: r-release (arm64): epiflows_0.2.1.tgz, r-oldrel (arm64): epiflows_0.2.1.tgz, r-release (x86_64): epiflows_0.2.1.tgz, r-oldrel (x86_64): epiflows_0.2.1.tgz
Old sources: epiflows archive


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