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.

Package details

AuthorGeorge Vega Yon [aut] (ORCID: <https://orcid.org/0000-0002-3171-0844>), Derek Meyer [aut] (ORCID: <https://orcid.org/0009-0005-1350-6988>), Andrew Pulsipher [aut, cre] (ORCID: <https://orcid.org/0000-0002-0773-3210>), Susan Holmes [rev] (what: JOSS reviewer, ORCID: <https://orcid.org/0000-0002-2208-8168>), Abinash Satapathy [rev] (what: JOSS reviewer, ORCID: <https://orcid.org/0000-0002-2955-2744>), Carinogurjao [rev], Centers for Disease Control and Prevention [fnd] (Award number 1U01CK000585; 75D30121F00003)
MaintainerAndrew Pulsipher <pulsipher.a@gmail.com>
LicenseMIT + file LICENSE
Version0.8.2.0
URL https://github.com/UofUEpiBio/epiworldR https://uofuepibio.github.io/epiworldR/ https://uofuepibio.github.io/epiworldR-workshop/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("epiworldR")

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epiworldR documentation built on June 8, 2025, 1:48 p.m.