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hybridModels

An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks

v0.3.8 · Apr 18, 2025 · GPL (>= 2)

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 (<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>.

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies doParallel doRNG foreach ggplot2 GillespieSSA reshape2 stringr hybridModels

Version History

new 0.3.8 Mar 10, 2026
updated 0.3.8 ← 0.3.7 diff Apr 18, 2025
updated 0.3.7 ← 0.3.6 diff Jun 25, 2020
updated 0.3.6 ← 0.3.5 diff Apr 15, 2020
updated 0.3.5 ← 0.2.15 diff Jun 14, 2018
updated 0.2.15 ← 0.2.9 diff Sep 26, 2017
updated 0.2.9 ← 0.2.6 diff Nov 8, 2016
new 0.2.6 Jan 19, 2016