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hybridModels  

An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks
View on CRAN: Click here


Download and install hybridModels package within the R console
Install from CRAN:
install.packages("hybridModels")

Install from Github:
library("remotes")
install_github("cran/hybridModels")

Install by package version:
library("remotes")
install_version("hybridModels", "0.3.7")



Attach the package and use:
library("hybridModels")
Maintained by
Fernando S. Marques
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-20
Latest Update: 2020-06-26
Description:
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 () 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) .
How to cite:
Fernando S. Marques (2016). hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks. R package version 0.3.7, https://cran.r-project.org/web/packages/hybridModels. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.6 (2016-01-20 15:38), 0.2.9 (2016-11-09 00:34), 0.2.15 (2017-09-27 11:18), 0.3.5 (2018-06-15 20:59), 0.3.6 (2020-04-16 07:00)
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