EpiModel: Mathematical Modeling of Infectious Disease

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.

Version: 1.5.0
Depends: R (≥ 3.2), deSolve (≥ 1.12), networkDynamic (≥ 0.9.0), tergm (≥ 3.3.1)
Imports: graphics, grDevices, stats, utils, doParallel, ergm (≥ 3.7.1), foreach, network (≥ 1.13.0), RColorBrewer, ape, lazyeval
Suggests: covr, knitr, ndtv, rmarkdown, shiny, testthat
Published: 2017-06-01
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Emily Beylerian [ctb], Skye Bender-deMoll [ctb], Kevin Weiss [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness at emory.edu>
BugReports: https://github.com/statnet/EpiModel/issues
License: GPL-3
URL: http://epimodel.org/
NeedsCompilation: no
Materials: NEWS
CRAN checks: EpiModel results


Reference manual: EpiModel.pdf
Vignettes: EpiModel Introduction
Package source: EpiModel_1.5.0.tar.gz
Windows binaries: r-devel: EpiModel_1.5.0.zip, r-release: EpiModel_1.5.0.zip, r-oldrel: EpiModel_1.5.0.zip
OS X El Capitan binaries: r-release: EpiModel_1.5.0.tgz
OS X Mavericks binaries: r-oldrel: EpiModel_1.5.0.tgz
Old sources: EpiModel archive

Reverse dependencies:

Reverse suggests: statnet


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