hybridModels: An R Package for the Stochastic Simulation of Disease Spreading
in 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: |
0.3.7 |
| Depends: |
R (≥ 3.3.1) |
| Imports: |
doParallel, doRNG, foreach, ggplot2, GillespieSSA, parallel, reshape2, stats, stringr, grid |
| Published: |
2020-06-26 |
| 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 |
| CRAN checks: |
hybridModels results |
Documentation:
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