CRAN/E | epiworldR

epiworldR

Fast Agent-Based Epi Models

Installation

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. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.

Citation epiworldR citation info
github.com/UofUEpiBio/epiworldR
uofuepibio.github.io/epiworldR/
uofuepibio.github.io/epiworldR-workshop/
Bug report File report

Key Metrics

Version 0.1-0
Published 2024-04-08 20 days ago
Needs compilation? yes
License MIT
License File
CRAN checks epiworldR results

Downloads

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Maintainer

Maintainer

Derek Meyer

derekmeyer37@gmail.com

Authors

Derek Meyer

aut / cre

George Vega Yon

aut

Susan Holmes

rev

(JOSS reviewer)

Abinash Satapathy

rev

(JOSS reviewer)

Carinogurjao

rev

Centers for Disease Control
Prevention

fnd

(Award number 1U01CK000585; 75D30121F00003)

Material

README
NEWS
Reference manual
Package source

Vignettes

Getting started with epiworldR
Implementation details of epiworldR
Run Multiple

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

epiworldR archive

Imports

utils

Suggests

knitr
rmarkdown
tinytest
netplot
igraph
data.table

LinkingTo

cpp11