A Comprehensive Tool for Early Warning in Infectious Disease
Overview
Infectious disease surveillance requires early outbreak detection. This package provides statistical tools for analyzing time-series monitoring data through three core methods: a) EWMA (Exponentially Weighted Moving Average) b) Modified-CUSUM (Modified Cumulative Sum) c) Adjusted-Serfling models Methodologies are based on: - Wang et al. (2010) doi:10.1016/j.jbi.2009.08.003 - Wang et al. (2015) doi:10.1371/journal.pone.0119923 Designed for epidemiologists and public health researchers working with disease surveillance systems.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 80%
Downloads
Repository
5 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/pan-mingyue/warnepi on 2026-10-21.
Dependencies
Installing WarnEpi adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 1.0.1Latest2025-08-26 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-08-26
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 0.7 KB / 1 file
- Download size
- 8.5 KB
Cite
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Run in R for the authors' preferred citation:
citation("WarnEpi")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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