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 or its approximations (Gillespie DT (2007) <doi:10.1146/annurev.physchem.58.032806.104637>) and individual-based approach, respectively. Movement among nodes are data based and can be irregular. Equations that models spread within nodes are customizable and there are two link types among nodes: migration and influence (commuting).
| Version: | 0.2.15 |
| Depends: | R (≥ 3.3.1) |
| Imports: | doParallel, foreach, ggplot2, GillespieSSA, parallel, reshape2, stats, stringr, grid |
| Published: | 2017-09-27 |
| 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 |
| CRAN checks: | hybridModels results |
| Reference manual: | hybridModels.pdf |
| Package source: | hybridModels_0.2.15.tar.gz |
| Windows binaries: | r-devel: hybridModels_0.2.15.zip, r-release: hybridModels_0.2.15.zip, r-oldrel: hybridModels_0.2.15.zip |
| OS X El Capitan binaries: | r-release: hybridModels_0.2.15.tgz |
| OS X Mavericks binaries: | r-oldrel: hybridModels_0.2.15.tgz |
| Old sources: | hybridModels archive |
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