×

hybridModels

swMATH ID: 33830
Software Authors: Fernando S. Marques, José H. H. Grisi-Filho, Jean C. R. Silva, Erivânia C. Almeida, José L. Silva Júnior
Description: R package 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>.
Homepage: https://cran.r-project.org/web/packages/hybridModels/index.html
Source Code:  https://github.com/cran/hybridModels
Dependencies: R
Keywords: jstatsoft.org; R; R package; Stochastic Simulation; Disease Spreading; Dynamic Networks
Related Software: igraph; R; tergm; gimme; sparsevar; nets; autovarCore; tnam; networkTomography; NetOrigin; EpiILMCT; EpiILM; latentnet; HLSM; collpcm; GNAR; forecast; fields; SparseTSCGM; mlVAR
Cited in: 0 Documents

Standard Articles

1 Publication describing the Software Year
hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks Link
Fernando S. Marques, José H. H. Grisi-Filho, Jean C. R. Silva, Erivânia C. Almeida, José L. Silva Júnior
2020