The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 0.3.7 |
| Depends: | R (≥ 3.3.1) |
| Imports: | doParallel, doRNG, foreach, ggplot2, GillespieSSA, parallel, reshape2, stats, stringr, grid |
| Published: | 2020-06-26 |
| 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_0.3.7.tar.gz |
| Windows binaries: | r-devel: hybridModels_0.3.7.zip, r-release: hybridModels_0.3.7.zip, r-oldrel: hybridModels_0.3.7.zip |
| macOS binaries: | r-release (arm64): hybridModels_0.3.7.tgz, r-oldrel (arm64): hybridModels_0.3.7.tgz, r-release (x86_64): hybridModels_0.3.7.tgz, r-oldrel (x86_64): hybridModels_0.3.7.tgz |
| Old sources: | hybridModels archive |
Please use the canonical form https://CRAN.R-project.org/package=hybridModels to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.