Package: EpiModel Version: 2.5.0 Date: 2024-10-10 Title: Mathematical Modeling of Infectious Disease Dynamics Description: 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, ). Maintainer: Samuel Jenness Authors@R: c(person("Samuel", "Jenness", role=c("cre","aut"), email="samuel.m.jenness@emory.edu"), person("Steven M.","Goodreau", role=c("aut"), email="goodreau@uw.edu"), person("Martina", "Morris", role=c("aut"), email="morrism@uw.edu"), person("Adrien", "Le Guillou", role=c("aut"), email="contact@aleguillou.org"), person("Chad", "Klumb", role=c("aut"), email="cklumb@gmail.com"), person("Skye", "Bender-deMoll", role=c("ctb"), email="skyebend@uw.edu")) License: GPL-3 URL: https://www.epimodel.org/, https://epimodel.github.io/EpiModel/ BugReports: https://github.com/EpiModel/EpiModel/issues/ 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) Suggests: DT, ergm.ego (>= 1.1.0), egor, knitr, ndtv, rmarkdown, shiny, testthat, progressr, tidyr VignetteBuilder: knitr LinkingTo: Rcpp, ergm RoxygenNote: 7.3.2 Encoding: UTF-8 Roxygen: list(markdown = TRUE) Config/pak/sysreqs: libicu-dev Repository: https://epiverse-connect.r-universe.dev Date/Publication: 2025-04-30 15:57:52 UTC RemoteUrl: https://github.com/EpiModel/EpiModel RemoteRef: HEAD RemoteSha: 0256b773c915a1215ea6929495f8ef7190ac9612 NeedsCompilation: yes Packaged: 2026-10-10 12:55:32 UTC; root Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]