Package: hybridModels 0.3.7

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>.

Authors:Fernando S. Marques [aut, cre], Jose H. H. Grisi-Filho [aut], Marcos Amaku [aut]

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hybridModels/json (API)
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Bug tracker:https://github.com/fernandosm/hybridmodels/issues

On CRAN:

4 exports 2 stars 0.96 score 41 dependencies 4 scripts 566 downloads

Last updated 4 years agofrom:63704b8323. Checks:OK: 7. Indexed: yes.

Exports:buildModelClassfindContactChainhybridModelsimHM

Dependencies:clicodetoolscolorspacedigestdoParalleldoRNGfansifarverforeachggplot2GillespieSSAgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangrngtoolsscalesstringistringrtibbleutf8vctrsviridisLitewithr