epiworldR

2026

epidemiology
agent-based 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.

ActivePackage2026CRAN0.14.0.0downloads15kstars14Cited by2

Citation counts from OpenAlex; downloads from CRAN. Updated 2026-08-15.

  1. Meyer, D.University of Utah Data Coordinating Center
  2. Vega Yon, G. G.University of UtahiD

Fast Agent-Based Epi Models

About

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. ‘epiworldR’ is ideal for simulation studies featuring large populations.

Cite

@Manual{epiworldR,
  title = {epiworldR: Fast Agent-Based Epi Models},
  author = {{Meyer}, {Derek} and {Vega Yon}, {George G.}},
  year = {2026},
  doi = {10.32614/CRAN.package.epiworldR},
  url = {https://cran.r-project.org/package=epiworldR},
  note = {R package version 0.14.0.0},
}