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EpiModel: Mathematical Modeling of Infectious Disease Dynamics

Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact 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 API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).

Version: 2.5.0
Depends: R (≥ 4.1), deSolve (≥ 1.21), networkDynamic (≥ 0.11.3), tergm (≥ 4.2.1), statnet.common (≥ 4.10.0)
Imports: graphics, grDevices, stats, utils, collections, doParallel, ergm (≥ 4.7.1), foreach, network (≥ 1.18.1), RColorBrewer, ape, lazyeval, ggplot2, tibble, methods, rlang, dplyr, coda, networkLite (≥ 1.0.5)
LinkingTo: Rcpp, ergm
Suggests: ergm.ego (≥ 1.1.0), egor, knitr, ndtv, rmarkdown, shiny, testthat, progressr, tidyr
Published: 2024-10-11
DOI: 10.32614/CRAN.package.EpiModel
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness at emory.edu>
BugReports: https://github.com/EpiModel/EpiModel/issues/
License: GPL-3
URL: https://www.epimodel.org/, https://epimodel.github.io/EpiModel/
NeedsCompilation: yes
Citation: EpiModel citation info
Materials: NEWS
In views: Epidemiology
CRAN checks: EpiModel results

Documentation:

Reference manual: EpiModel.pdf
Vignettes: EpiModel Introduction (source, R code)
Working with Custom Attributes and Summary Statistics (source, R code)
Working with Model Parameters (source, R code)
Working with Network Objects (source, R code)

Downloads:

Package source: EpiModel_2.5.0.tar.gz
Windows binaries: r-devel: EpiModel_2.5.0.zip, r-release: EpiModel_2.5.0.zip, r-oldrel: EpiModel_2.5.0.zip
macOS binaries: r-release (arm64): EpiModel_2.5.0.tgz, r-oldrel (arm64): EpiModel_2.5.0.tgz, r-release (x86_64): EpiModel_2.5.0.tgz, r-oldrel (x86_64): EpiModel_2.5.0.tgz
Old sources: EpiModel archive

Reverse dependencies:

Reverse suggests: statnet, tergmLite

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EpiModel to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.