hybridModels: An R Package for the Stochastic Simulation of Disease Spreadingin Dynamic Networks
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 |
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