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epiworldR  

Fast Agent-Based Epi Models
View on CRAN: Click here


Download and install epiworldR package within the R console
Install from CRAN:
install.packages("epiworldR")

Install from Github:
library("remotes")
install_github("cran/epiworldR")

Install by package version:
library("remotes")
install_version("epiworldR", "0.14.0.0")



Attach the package and use:
library("epiworldR")
Maintained by
Andrew Pulsipher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-09
Latest Update: 2025-06-12
Description:
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.
How to cite:
Andrew Pulsipher (2023). epiworldR: Fast Agent-Based Epi Models. R package version 0.14.0.0, https://cran.r-project.org/web/packages/epiworldR. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:36), 0.0-1 (2023-06-09 10:50), 0.0-2 (2023-06-22 01:00), 0.0-3 (2023-09-08 20:20), 0.0-4 (2024-02-09 10:30), 0.1-0 (2024-04-08 16:40), 0.3-2 (2024-10-08 09:10), 0.6.0.0 (2025-01-16 23:10), 0.6.1.0 (2025-01-29 00:20), 0.8.1.0 (2025-04-23 00:10), 0.8.2.0 (2025-05-13 21:20), 0.8.3.0 (2025-06-13 00:20), 0.10.0.0 (2025-11-14 08:00), 0.11.0.0 (2025-12-22 14:30), 0.11.0.1 (2026-01-14 07:10), 0.11.2.0 (2026-02-03 18:50), 0.12.0.0 (2026-02-21 07:10), 0.13.0.0 (2026-03-12 19:50)
Other packages that cited epiworldR R package
View epiworldR citation profile
Other R packages that epiworldR depends, imports, suggests or enhances
Complete documentation for epiworldR
Functions, R codes and Examples using the epiworldR R package
Full epiworldR package functions and examples
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