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: 0.0-4
Imports: utils
LinkingTo: cpp11
Suggests: knitr, rmarkdown, tinytest, netplot, igraph
Published: 2024-02-09
Author: Derek Meyer ORCID iD [aut, cre], George Vega Yon ORCID iD [aut], Susan Holmes ORCID iD [rev] (JOSS reviewer), Abinash Satapathy ORCID iD [rev] (JOSS reviewer), Carinogurjao [rev], Centers for Disease Control and Prevention [fnd] (Award number 1U01CK000585; 75D30121F00003)
Maintainer: Derek Meyer <derekmeyer37 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
Materials: README NEWS
CRAN checks: epiworldR results

Documentation:

Reference manual: epiworldR.pdf
Vignettes: Getting started with epiworldR
Implementation details of epiworldR
Run Multiple

Downloads:

Package source: epiworldR_0.0-4.tar.gz
Windows binaries: r-devel: epiworldR_0.0-4.zip, r-release: epiworldR_0.0-4.zip, r-oldrel: epiworldR_0.0-4.zip
macOS binaries: r-release (arm64): epiworldR_0.0-4.tgz, r-oldrel (arm64): epiworldR_0.0-4.tgz, r-release (x86_64): epiworldR_0.0-4.tgz
Old sources: epiworldR archive

Linking:

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