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epiworldR
View on CRAN: Click
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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", "0.3-2")
Attach the package and use:
library("epiworldR")
Maintained by
George Vega Yon
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[Scholar Profile | Author Map]
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First Published: 2023-06-09
Latest Update: 2024-02-09
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:
George Vega Yon (2023). epiworldR: Fast Agent-Based Epi Models. R package version 0.3-2, https://cran.r-project.org/web/packages/epiworldR. Accessed 23 Nov. 2024.
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