Package: WarnEpi 1.0.0
WarnEpi: A Comprehensive Tool for Early Warning in Infectious Disease
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.
Authors:
WarnEpi_1.0.0.tar.gz
WarnEpi_1.0.0.zip(r-4.7)WarnEpi_1.0.0.zip(r-4.6)WarnEpi_1.0.0.zip(r-4.5)
WarnEpi_1.0.0.tgz(r-4.6-any)WarnEpi_1.0.0.tgz(r-4.5-any)
WarnEpi_1.0.0.tar.gz(r-4.7-any)WarnEpi_1.0.0.tar.gz(r-4.6-any)
WarnEpi_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
WarnEpi/json (API)
| # Install 'WarnEpi' in R: |
| install.packages('WarnEpi', repos = c('https://pan-mingyue.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pan-mingyue/warnepi/issues
- sample_ili - Simulated ILI Surveillance Data
Last updated from:29dc88dbcb. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 99 | ||
| source / vignettes | OK | 125 | ||
| linux-release-x86_64 | OK | 89 | ||
| macos-release-arm64 | OK | 165 | ||
| macos-oldrel-arm64 | OK | 157 | ||
| windows-devel | OK | 63 | ||
| windows-release | OK | 58 | ||
| windows-oldrel | OK | 58 | ||
| wasm-release | OK | 82 |
Exports:aSerflingaSerfling_predictEWMAmCUSUM
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adjusted Serfling | aSerfling |
| Apply Adjusted Serfling Model to Subsequent Time Periods | aSerfling_predict |
| Exponentially Weighted Moving Average | EWMA |
| Modified Cumulative Sum | mCUSUM |
| Simulated ILI Surveillance Data | sample_ili |
