fernandosm/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).

Getting started

Package details

AuthorFernando S. Marques [aut, cre], Jose H. H. Grisi-Filho [aut], Marcos Amaku [aut]
MaintainerFernando S. Marques <[email protected]>
LicenseGPL (>= 2)
Version0.3.5
URL https://github.com/fernandosm/hybridModels
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("fernandosm/hybridModels")
fernandosm/hybridModels documentation built on June 15, 2018, 10:24 a.m.