Skip to content

epiflows

0.2.2Package record

Predicting Disease Spread from Flow Data

0packages depend
3.3Kdownloads / year
95.9%test coverage
13/13flavors OK

Overview

About

Provides functions and classes designed to handle and visualise epidemiological flows between locations. Also contains a statistical method for predicting disease spread from flow data initially described in Dorigatti et al. (2017) doi:10.2807/1560-7917.ES.2017.22.28.30572. This package is part of the RECON (https://www.repidemicsconsortium.org/) toolkit for outbreak analysis.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-macos-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 0.2.2
README· In the repository, left out of the releaseVignettesYes · 2 · dynamicNEWSYes · 100% structured · does not mention 0.2.2Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
19includes a package overview page
Examples that run
100%16 run in a plain check
Exported functions with examples
86%
Documented parameters
92%
Return-value docs
79%
Help pages citing references
11%

Also includes 1 demo script (run with demo())

Downloads

3.3K
CRAN downloads in the past year
Rank #8,751 · ~9/day · ~276/mo
Daily download trend is not available in this view yet.
35430 days
1.1K90 days
3.3K1 year
Compare downloads with other packages →
Also on114 r2u2 autocran96 c2d4u

Repository

19Stars
13Forks
3Open issues
4Open PRs
4Releases
258Commits
10Commit identities
r-packageoutbreakr
258 commits · Last activity 2026-03-09 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
26
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-10-14 · 192026-07-07 · 19
PracticesBeta

9 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/reconhub/epiflows on 2026-10-22.

Continuous integration (2)
Travis CI (config file)AppVeyor
Governance and community (1)
Code of conduct
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-03-09

Reproducibility and dev environment (1)
Binder
Show all practicesHide 2 practices
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
lintr
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing epiflows adds 82 packages (49 with compiled code, 89 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (7)
Author, Maintainer since 0.2.0 (2018)
Author
Contributor, Data contributor
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2026-02-20
  • 0.2.2Latest
    record
    2026-02-20 · current release · diff ↗
  • archivedRemoved from CRAN
    2025-11-28
    issues were not corrected despite reminders
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-04-09
  • 0.2.1
    record
    2023-04-09 · diff ↗
  • archivedRemoved from CRAN
    2023-04-07
    policy violation On Internet access
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.2.0
    record
    2018-08-14
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-08-14
Total releases
3 / 8 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
6.4 KB / 5 files
Download size
1.5 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("epiflows")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.12688/f1000research.16032.1.

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 epiflows version 0.2.2 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy