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, NetworkAnalysis CRAN checks: EpiModel results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=EpiModel to link to this page.
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