A 'shiny' Wrapper of the R Package 'epiworldR'
Overview
R 'shiny' web apps for epidemiological Agent-Based Models. It provides a user-friendly interface to the Agent-Based Modeling (ABM) R package 'epiworldR' (Meyer et al., 2023) DOI:10.21105/joss.05781. Some of the main features of the package include the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Recovered (SIR), and Susceptible-Exposed-Infected-Recovered (SEIR) models. 'epiworldRShiny' provides a web-based user interface for running various epidemiological ABMs, simulating interventions, and visualizing results interactively.
- Updated to epiworldR version 0.8.2.0: New version of the measles model with new parameters.
- Improved the UI for the measles model to make it more user-friendly.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 11
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 73%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 86%
- Median days to close, 50 most recently updated closed issues
- 11
- Median days to close, 50 most recently updated closed PRs
- 4
Stars over time
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Releases over time
Issues over time
PRs over time
Commits over time
11 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/uofuepibio/epiworldrshiny on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-09-11 · The repository has a site deploy workflow
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This repository shows signs of AI coding tools.
- GitHub Copilotfirst seen 2025-11-18Pull request: opened by its own accountCommits: 1 by its own account · at least 2 crediting it in the message
- Claude Codefirst seen 2026-08-06Pull request it wrote: opened by a project memberCommits: at least 5 crediting it in the message
- Codexfirst seen 2026-09-30Commits: at least 1 crediting it in the message
- Claude Opus 52 commits · Aug to Sep 2026
- Claude Sonnet 52 commits · Sep 2026
- Claude Opus 5.51 commit · Oct 2026
Dependencies
Installing epiworldRShiny adds 71 packages (39 with compiled code, 73 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Previously maintained by Derek Meyer (0.1-0).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2.3Latest
- RR 4.5.0 released · 2025-04-11
- 0.1-02024-06-05
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-06-05
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 224 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("epiworldRShiny")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
The repository also keeps a CITATION.cff.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.