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superspreading

0.4.0

Understand Individual-Level Variation in Infectious Disease Transmission

0packages depend
2.4Kdownloads / year
94.6%test coverage
13/13checks pass

Overview

About
Maintained by Joshua W. LambertFirst published 2025-01-272 releasesCRAN page ↗GitHub ↗

Estimate and understand individual-level variation in transmission. Implements density and cumulative compound Poisson discrete distribution functions (Kremer et al. (2021) doi:10.1038/s41598-021-93578-x), as well as functions to calculate infectious disease outbreak statistics given epidemiological parameters on individual-level transmission; including the probability of an outbreak becoming an epidemic/extinct (Kucharski et al. (2020) doi:10.1016/S1473-3099(20)30144-4), or the cluster size statistics, e.g. what proportion of cases cause X\% of transmission (Lloyd-Smith et al. (2005) doi:10.1038/nature04153).

Install

Health

CRAN checks
13OK
Slowest check: 6.1 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.96
94.6%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-30
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-23
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,039 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
28%

Downloads

2.4K
CRAN downloads in the past year
Rank #14,945 · ~6/day · ~197/mo
Daily download trend is not available in this view yet.
17830 days
71390 days
2.4K1 year
Compare downloads with other packages →
Also on125 r2u29 autocran

Repository

Repository
5Stars
2Forks
5Open issues
3Open PRs
4Releases
511Commits
7Contributors
rr-packageepidemiologyepiversedisease-transmission
511 commits · Last activity 2026-07-01

Stars over time

2025-06-18 · 52026-07-07 · 5

Repository practices

Upstream repositoryBeta

9 development-tooling and community-health practices detected across 8 families in the upstream repository

Checks run against github.com/epiverse-trace/superspreading on 2026-08-23.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Research and citation (1)
CITATION.cff
Show all practices
Automation and maintenance (1)
Dependabot
Lint, format, editor (2)
lintrRStudio project
Coverage (1)
Codecov
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (3)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (8)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (3)
Author, Maintainer, Copyright holder
Author, Copyright holder
Contributors (2)
Reviewer, Contributor
Contributor, Copyright holder
Copyright holders (3)
Author, Maintainer, Copyright holder
Author, Copyright holder
Contributor, Copyright holder
Reviewers (4)
Reviewer, Contributor
Reviewer
Reviewer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.0Latest
    2025-07-15 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.3.0
    2025-01-27
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-01-27
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Download size
901 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("superspreading")

The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.

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 superspreading version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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