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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 |
DOI: | 10.32614/CRAN.package.aedseo |
Author: | Kasper Schou Telkamp [aut], Lasse Engbo Christiansen [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 |
Reference manual: | aedseo.pdf |
Vignettes: |
Automated Detection of Seasonal Epidemic Onset in R |
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, r-oldrel (x86_64): aedseo_0.1.2.tgz |
Old sources: | aedseo archive |
Please use the canonical form https://CRAN.R-project.org/package=aedseo to link to this page.
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.