Tools for simulating mathematical models of infectious disease. Epidemic model classes include deterministic compartmental models, stochastic agent-based models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an easy API for extending these templates to address novel scientific research aims.

Documentation

Manual: EpiModel.pdf
Vignette: EpiModel Introduction

Maintainer: Samuel Jenness <samuel.m.jenness at emory.edu>

Author(s): Samuel Jenness*, Steven M. Goodreau*, Martina Morris*, Emily Beylerian*, Skye Bender-deMoll*, Kevin Weiss*

Install package and any missing dependencies by running this line in your R console:

install.packages("EpiModel")

Depends R (>= 3.2), deSolve(>=1.12), networkDynamic(>=0.9.0), tergm(>=3.3.1)
Imports graphics, grDevices, stats, utils, doParallel, ergm(>=3.5.1), foreach, network(>=1.13.0), RColorBrewer, ape, lazyeval
Suggests covr, knitr, ndtv, rmarkdown, shiny, testthat
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Package EpiModel
Materials
URL http://epimodel.org/
Task Views
Version 1.3.0
Published 2017-03-13
License GPL-3
BugReports https://github.com/statnet/EpiModel/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks EpiModel check results
Package source EpiModel_1.3.0.tar.gz