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:Xiaoli Wang [aut], Mingyue Pan [aut, cre]

WarnEpi_1.0.0.tar.gz
WarnEpi_1.0.0.zip(r-4.7-any)WarnEpi_1.0.0.zip(r-4.6-any)WarnEpi_1.0.0.zip(r-4.5-any)
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

Datasets:

On CRAN:

Conda:

2.70 score 175 downloads 4 exports 0 dependencies

Last updated from:29dc88dbcb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK97
source / vignettesOK147
linux-releaseOK97
macos-releaseOK157
macos-oldrelOK178
windows-develOK59
windows-releaseOK50
windows-oldrelOK46
wasm-releaseOK67

Exports:aSerflingaSerfling_predictEWMAmCUSUM

Dependencies: