Package: ringbp 1.0.0

Joshua W. Lambert

ringbp: Simulate and Evaluate Targeted Interventions in Infectious Disease Outbreaks

Branching process simulation model of infectious disease transmission with flexible parameterisation of epidemiology and targeted interventions, including isolation, contact tracing and quarantine, to reduce transmission, together with functions to evaluate outbreak control. Introduced in Hellewell et al. (2020) <doi:10.1016/S2214-109X(20)30074-7>.

Authors:Joel Hellewell [aut], Sam Abbott [aut], Amy Gimma [aut], Tim Lucas [aut], Sebastian Funk [aut], Adam Kucharski [aut], Hugo Gruson [ctb], Carl A. B. Pearson [aut, rev], Joshua W. Lambert [aut, cre]

ringbp_1.0.0.tar.gz
ringbp_1.0.0.zip(r-4.7)ringbp_1.0.0.zip(r-4.6)ringbp_1.0.0.zip(r-4.5)
ringbp_1.0.0.tgz(r-4.6-any)ringbp_1.0.0.tgz(r-4.5-any)
ringbp_1.0.0.tar.gz(r-4.7-any)ringbp_1.0.0.tar.gz(r-4.6-any)
ringbp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
ringbp/json (API)

# Install 'ringbp' in R:
install.packages('ringbp', repos = c('https://epiforecasts.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/epiforecasts/ringbp/issues

Pkgdown/docs site:https://epiforecasts.io

On CRAN:

Conda:

controlling-outbreakstransmission

6.99 score 17 stars 24 scripts 12 exports 13 dependencies

Last updated from:24522892f7 (on v1.0.0). Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK306
linux-release-x86_64OK145
macos-release-arm64OK109
macos-oldrel-arm64OK130
windows-develOK86
windows-releaseOK85
windows-oldrelOK91
wasm-releaseOK153

Exports:delay_optsdetect_extinctevent_prob_optsextinct_probincubation_to_generation_timeintervention_optsoffspring_optsoutbreak_modeloutbreak_setupoutbreak_stepscenario_simsim_opts

Dependencies:backportscheckmatedata.tablelatticeMASSMatrixMatrixModelsmnormtnumDerivquantregsnSparseMsurvival

{ringbp} Model Description
Model Overview | Disease natural history scenarios | Transmission scenarios with interventions | Presymptomatic transmission scenarios with interventions | Transmission in isolation | Model parameters | Further information

Last update: 2026-06-15
Started: 2026-02-16

Getting started with {ringbp}
Introduction | Model overview | Specifying model components | Offspring distributions | Delay distributions | Event probabilities | Intervention options | Simulation controls | Running outbreak simulations | Visualising results | Summarising outcomes | Simplified COVID-19 contact tracing effectiveness analysis | Define epidemiological parameters | Run the simulation | {ringbp} Use Cases | References

Last update: 2026-06-15
Started: 2026-02-16

Scenario parameter sweep
Set up scenario parameter space | Parameter sweep across scenarios | Storing simulations with scenarios | Running scenarios in parallel

Last update: 2026-05-20
Started: 2025-06-18