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epiworldR: Fast Agent-Based Epi Models

A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.

Version: 0.3-2
Imports: utils
LinkingTo: cpp11
Suggests: knitr, rmarkdown, tinytest, netplot, igraph, data.table
Published: 2024-10-08
DOI: 10.32614/CRAN.package.epiworldR
Author: George Vega Yon ORCID iD [aut, cre], Derek Meyer ORCID iD [aut], Susan Holmes ORCID iD [rev] (JOSS reviewer), Abinash Satapathy ORCID iD [rev] (JOSS reviewer), Carinogurjao [rev], Centers for Disease Control and Prevention [fnd] (Award number 1U01CK000585; 75D30121F00003)
Maintainer: George Vega Yon <g.vegayon at gmail.com>
BugReports: https://github.com/UofUEpiBio/epiworldR/issues
License: MIT + file LICENSE
URL: https://github.com/UofUEpiBio/epiworldR, https://uofuepibio.github.io/epiworldR/, https://uofuepibio.github.io/epiworldR-workshop/
NeedsCompilation: yes
Citation: epiworldR citation info
Materials: README NEWS
In views: Epidemiology
CRAN checks: epiworldR results

Documentation:

Reference manual: epiworldR.pdf
Vignettes: Getting started with epiworldR (source, R code)
Implementation details of epiworldR (source)
Mixing models (source, R code)
Run Multiple (source, R code)

Downloads:

Package source: epiworldR_0.3-2.tar.gz
Windows binaries: r-devel: epiworldR_0.3-2.zip, r-release: epiworldR_0.3-2.zip, r-oldrel: epiworldR_0.3-2.zip
macOS binaries: r-release (arm64): epiworldR_0.3-2.tgz, r-oldrel (arm64): epiworldR_0.3-2.tgz, r-release (x86_64): epiworldR_0.3-2.tgz, r-oldrel (x86_64): epiworldR_0.3-2.tgz
Old sources: epiworldR archive

Reverse dependencies:

Reverse imports: epiworldRShiny

Linking:

Please use the canonical form https://CRAN.R-project.org/package=epiworldR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.