EpiModel: tools for simulating mathematical models of infectious disease. Epidemic model classes include deterministic compartmental models, stochastic individual contact models, and stochastic network models. Disease types include SI, SIR, and SIS epidemics with and without demography, with tools available for expansion to model complex epidemic processes.
The current release version can be found on CRAN and installed with:
install.packages("EpiModel")To install this development version, use the devtools package:
if (!require("devtools")) install.packages("devtools")
devtools::install_github("statnet/EpiModel")| Samuel M. Jenness | Department of Epidemiology | University of Washington |
| Steven M. Goodreau | Department of Anthropology | University of Washington |
| Martina Morris | Departments of Statistics and Sociology | University of Washington |
The main website for EpiModel, with tutorials and other supporting files is http://epimodel.org/. Users are encouraged to join the email list for EpiModel as a place to ask questions, report bugs, and tell us about your research using these tools.
If using EpiModel for teaching or research, please include a citation:
Jenness SM, Goodreau SM, Morris M (2015). EpiModel: Mathematical Modeling of Infectious Disease. R Package Version 1.1.4. URL: http://epimodel.org/. DOI: 10.5281/zenodo.16767.
Development of this software is supported by the following grants from the National Institutes of Health: R01HD68395 (NICHD), T32HD007543 (NICHD), and R24HD042828 (NICHD).
These materials are distributed under the GPL-3 license, with the following copyright and attribution requirements listed here.