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:

Reference manual:

hybridModels.pdf

Downloads:

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

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