aedseo: Automated and Early Detection of Seasonal Epidemic Onset

A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates for consecutive time intervals and calculate the sum of cases (SoC) within those intervals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion. For reference on growth rate estimation, see Walling and Lipstich (2007) <doi:10.1098/rspb.2006.3754> and Obadia et al. (2012) <doi:10.1186/1472-6947-12-147>.

Version: 0.1.2
Imports: base, dplyr, ggplot2, lifecycle, magrittr, purrr, rlang, stats, tibble
Suggests: ISOweek, kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0), tidyr
Published: 2023-11-27
Author: Kasper Schou Telkamp ORCID iD [aut], Lasse Engbo Christiansen ORCID iD [aut, cre], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Lasse Engbo Christiansen <lsec at ssi.dk>
BugReports: https://github.com/ssi-dk/aedseo/issues
License: MIT + file LICENSE
URL: https://github.com/ssi-dk/aedseo, https://ssi-dk.github.io/aedseo/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: aedseo results

Documentation:

Reference manual: aedseo.pdf
Vignettes: Automated Detection of Seasonal Epidemic Onset in R

Downloads:

Package source: aedseo_0.1.2.tar.gz
Windows binaries: r-devel: aedseo_0.1.2.zip, r-release: aedseo_0.1.2.zip, r-oldrel: aedseo_0.1.2.zip
macOS binaries: r-release (arm64): aedseo_0.1.2.tgz, r-oldrel (arm64): aedseo_0.1.2.tgz, r-release (x86_64): aedseo_0.1.2.tgz
Old sources: aedseo archive

Linking:

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