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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.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.5) |
| Published: | 2025-08-26 |
| DOI: | 10.32614/CRAN.package.WarnEpi |
| Author: | Xiaoli Wang [aut], Mingyue Pan [aut, cre] |
| Maintainer: | Mingyue Pan <panmyue18 at 163.com> |
| BugReports: | https://github.com/pan-mingyue/WarnEpi/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/pan-mingyue/WarnEpi |
| NeedsCompilation: | no |
| Language: | en |
| Materials: | README, NEWS |
| CRAN checks: | WarnEpi results |
| Reference manual: | WarnEpi.html , WarnEpi.pdf |
| Package source: | WarnEpi_1.0.1.tar.gz |
| Windows binaries: | r-devel: WarnEpi_1.0.1.zip, r-release: WarnEpi_1.0.1.zip, r-oldrel: WarnEpi_1.0.1.zip |
| macOS binaries: | r-release (arm64): WarnEpi_1.0.1.tgz, r-oldrel (arm64): WarnEpi_1.0.1.tgz, r-release (x86_64): WarnEpi_1.0.1.tgz, r-oldrel (x86_64): WarnEpi_1.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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