Package: aedseo 0.1.2.9000

Lasse Engbo Christiansen

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>.

Authors:Kasper Schou Telkamp [aut], Lasse Engbo Christiansen [aut, cre], Statens Serum Institut, SSI [cph, fnd]

aedseo_0.1.2.9000.tar.gz
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aedseo.pdf |aedseo.html
aedseo/json (API)
NEWS

# Install 'aedseo' in R:
install.packages('aedseo', repos = c('https://ssi-dk.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ssi-dk/aedseo/issues

On CRAN:

6 exports 1.27 score 32 dependencies 7 scripts 333 downloads

Last updated 10 months agofrom:8336df0476. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:%>%aedseoautoplotepi_calendarfit_growth_ratetsd

Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr

Automated Detection of Seasonal Epidemic Onset in R

Rendered fromaedseo_introduction.Rmdusingknitr::rmarkdownon Sep 12 2024.

Last update: 2023-11-15
Started: 2023-10-19