hybridModels: Stochastic Hybrid Models 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 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: 0.3.5
Depends: R (≥ 3.3.1)
Imports: doParallel, foreach, ggplot2, GillespieSSA, parallel, reshape2, stats, stringr, grid
Published: 2018-06-15
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_0.3.5.tar.gz
Windows binaries: r-devel: hybridModels_0.3.5.zip, r-release: hybridModels_0.3.5.zip, r-oldrel: hybridModels_0.3.5.zip
OS X binaries: r-release: hybridModels_0.3.5.tgz, r-oldrel: hybridModels_0.3.5.tgz
Old sources: hybridModels archive


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