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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>.

Versions across snapshots

VersionRepositoryFileSize
0.3.8 rolling source/ R- hybridModels_0.3.8.tar.gz 28.8 KiB
0.3.8 rolling linux/jammy R-4.5 hybridModels_0.3.8.tar.gz 136.1 KiB
0.3.8 rolling linux/noble R-4.5 hybridModels_0.3.8.tar.gz 136.0 KiB
0.3.8 latest source/ R- hybridModels_0.3.8.tar.gz 28.8 KiB
0.3.8 latest linux/jammy R-4.5 hybridModels_0.3.8.tar.gz 136.1 KiB
0.3.8 latest linux/noble R-4.5 hybridModels_0.3.8.tar.gz 136.0 KiB
0.3.8 2026-04-26 source/ R- hybridModels_0.3.8.tar.gz 28.8 KiB
0.3.8 2026-04-23 source/ R- hybridModels_0.3.8.tar.gz 28.8 KiB
0.3.8 2026-04-09 windows/windows R-4.5 hybridModels_0.3.8.zip 139.7 KiB
0.3.8 2025-04-20 source/ R- hybridModels_0.3.8.tar.gz 28.8 KiB

Dependencies (latest)

Imports