Serial Interval and Case Reproduction Number Estimation
Overview
Provides methods to estimate serial intervals and time-varying case reproduction numbers from infectious disease outbreak data. Serial intervals measure the time between symptom onset in linked transmission pairs, while case reproduction numbers quantify how many secondary cases each infected individual generates over time. These parameters are essential for understanding transmission dynamics, evaluating control measures, and informing public health responses. The package implements the maximum likelihood framework from Vink et al. (2014) doi:10.1093/aje/kwu209 for serial interval estimation and the retrospective method from Wallinga & Lipsitch (2007) doi:10.1098/rspb.2006.3754 for reproduction number estimation. Originally developed for scabies transmission analysis but applicable to other infectious diseases including influenza, COVID-19, and emerging pathogens. Designed for epidemiologists, public health researchers, and infectious disease modelers working with outbreak surveillance data.
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Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- WARNING11 OK, 1 NOTE, 2 WARNING2026-03-10
Documentation
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- 22 (1 internal)includes a package overview page
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- 100%17 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 36%
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- 80%
- Median days to close, 50 most recently updated closed issues
- 84
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- 0
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- Claude Codefirst seen on or before 2026-01-07Named in .Rbuildignore: .claudePull request it wrote: opened by a project memberCommits: at least 17 crediting it in the message
- Claude Opus 4.511 commits · Jan 2026
- Claude Sonnet 4.66 commits · Feb to Jun 2026
Dependencies
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People & History
- RR 4.6.0 released · 2026-04-24
- 0.2.0Latest2025-09-02 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-09-02
- Total releases
- 1 / 1 yrs
- License
- EUPL-1.2
- Minimum R
- ≥ 3.5.0
- Download size
- 4.6 MB
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