Simulates stochastic hybrid models for transmission of infectious diseases in dynamic networks. It is a metapopulation model in which each node in the network is a sub-population and disease spreads within nodes and among them, combining two approaches: stochastic simulation algorithm (<doi:10.1146/annurev.physchem.58.032806.104637>) and individual-based approach, respectively. Equations that models spread within nodes are customizable and there are two link types among nodes: migration and influence (commuting). More information in Fernando S. Marques, Jose H. H. Grisi-Filho, Marcos Amaku et al. (2020) <doi:10.18637/jss.v094.i06>.
Version: 0.3.8 Depends: R (≥ 4.4.0) Imports: doParallel, doRNG, foreach, ggplot2, GillespieSSA, parallel, reshape2, stats, stringr, grid Published: 2025-04-19 DOI: 10.32614/CRAN.package.hybridModels Author: Fernando S. Marques [aut, cre], Jose H. H. Grisi-Filho [aut], Marcos Amaku [aut] Maintainer: Fernando S. Marques <fernandosix at gmail.com> BugReports: https://github.com/fernandosm/hybridModels/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/fernandosm/hybridModels NeedsCompilation: no Citation: hybridModels citation info Materials: README NEWS In views: NetworkAnalysis CRAN checks: hybridModels results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hybridModels to link to this page.
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