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: | 0.10.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | utils, parallel |
| LinkingTo: | cpp11 |
| Suggests: | knitr,rmarkdown,tinytest,netplot,igraph,data.table,DiagrammeR |
| Published: | 2025-11-14 |
| DOI: | 10.32614/CRAN.package.epiworldR |
| Author: | George Vega Yon [aut, cre], Derek Meyer [aut], Andrew Pulsipher [aut], 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: | George Vega Yon <g.vegayon at gmail.com> |
| BugReports: | https://github.com/UofUEpiBio/epiworldR/issues |
| License: | MIT + fileLICENSE |
| 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[issues need fixing before 2025-12-19] |
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