hybridModels: Stochastic Hybrid Models in Dynamic Networks
Version 0.2.15

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) ) 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).

Getting started

Package details

AuthorFernando S. Marques [aut, cre], Jose H. H. Grisi-Filho [aut], Marcos Amaku [aut]
Date of publication2017-09-27 09:18:47 UTC
MaintainerFernando S. Marques <[email protected]>
LicenseGPL (>= 2)
URL https://github.com/fernandosm/hybridModels
Package repositoryView on CRAN
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hybridModels documentation built on Sept. 27, 2017, 5:04 p.m.