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epiworldRShiny

0.2.3Package record

A 'shiny' Wrapper of the R Package 'epiworldR'

0packages depend
6.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Andrew PulsipherCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Centers for Disease Control and Prevention

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.

Changes in 0.2.3
  • 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

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.3
READMEYes · 490 wordsVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 0.2.3Citation fileNoWebsiteYes · pkgdown
Description cites a JOSS paper
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

6.1K
CRAN downloads in the past year
Rank #9,084 · ~17/day · ~505/mo
Daily download trend is not available in this view yet.
33330 days
1.1K90 days
6.1K1 year
Compare downloads with other packages →
Also on87 r2u9 autocran

Repository

3Stars
2Forks
10Open issues
1Open PRs
2Releases
198Commits
5Commit identities
abmagent-based-modelingcovid-19epidemic-simulationsepidemiologynetscinetwork-analysisshinyapps
198 commits · Last activity 2026-10-07 · 0% stars, 30d · Default branch at 0.2.7, ahead of CRAN 0.2.3 (checked 2026-10-21)
Responsiveness
How these are sampled
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

2025-06-23 · 32026-07-07 · 3
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)
Code of conduct
Docs source (3)
README.Rmd

GitHub Pages site last deployed 2026-09-11 · The repository has a site deploy workflow

Reproducibility and dev environment (3)
data-raw/MakefileDev Container
Show all practicesHide 2 practices
Research and citation (1)
CITATION.cff
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • GitHub Copilotfirst seen 2025-11-18
    Pull request: opened by its own account
    Commits: 1 by its own account · at least 2 crediting it in the message
  • Claude Codefirst seen 2026-08-06
    Pull request it wrote: opened by a project member
    Commits: at least 5 crediting it in the message
  • Codexfirst seen 2026-09-30
    Commits: at least 1 crediting it in the message
Shared conventions any agent may read, so they name no particular tool.
Seen in the repository: AGENTS.md
Models named in its commits
  • Claude Opus 52 commits · Aug to Sep 2026
  • Claude Sonnet 52 commits · Sep 2026
  • Claude Opus 5.51 commit · Oct 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

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.

Depends (2)
R >= 4.1.0shiny
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (11)
Author, Maintainer since 0.2.3 (2025) · added in 0.2.3
Contributor
Contributor
Contributor
Contributor
Contributor
Contributor
Funder
Award number 1U01CK000585; 75D30121F00003

Previously maintained by Derek Meyer (0.1-0).

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.3Latest
    record
    2025-05-14 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1-0
    record
    2024-06-05
  • R
    R 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
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("epiworldRShiny")
Pulsipher, A., Centers for Disease Control and Prevention, Gruninger, R., Keegan, L., Khader, K., Love, J., Meyer, D., Samore, M., Stratford, K., Toth, D., & Vega Yon, G. (2025). epiworldRShiny: A 'shiny' Wrapper of the R Package 'epiworldR' (Version 0.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for epiworldRShiny version 0.2.3 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

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.

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