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: 0.8.3.0 Depends: R (≥ 4.1.0) Imports: utils, parallel LinkingTo: cpp11 Suggests: knitr, rmarkdown, tinytest, netplot, igraph, data.table, DiagrammeR Published: 2025-06-12 DOI: 10.32614/CRAN.package.epiworldR Author: George Vega Yon [aut], Derek Meyer [aut], Andrew Pulsipher [aut, cre], Susan Holmes [rev] (what: JOSS reviewer), Abinash Satapathy [rev] (what: JOSS reviewer), Carinogurjao [rev], Centers for Disease Control and Prevention [fnd] (Award number 1U01CK000585; 75D30121F00003) Maintainer: Andrew Pulsipher <pulsipher.a 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=epiworldR to link to this page.
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