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 |
| 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 |
Documentation:
Downloads:
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