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: |
0.13.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
utils, parallel, methods |
| LinkingTo: |
cpp11 |
| Suggests: |
knitr, rmarkdown, tinytest, netplot, igraph, data.table, DiagrammeR |
| Published: |
2026-03-12 |
| 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 + file LICENSE |
| URL: |
https://github.com/UofUEpiBio/epiworldR,
https://uofuepibio.github.io/epiworldR/,
https://uofuepibio.github.io/epiworldR-workshop/ |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++17 |
| Citation: |
epiworldR citation info |
| Materials: |
README, NEWS |
| In views: |
Epidemiology |
| CRAN checks: |
epiworldR results |
Documentation:
Downloads:
Reverse dependencies:
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