Package: aeddo 0.1.1.9000

Lasse Engbo Christiansen

aeddo: Automated and Early Detection of Disease Outbreaks

A powerful tool for automating the early detection of disease outbreaks in time series data. 'aeddo' employs advanced statistical methods, including hierarchical models, in an innovative manner to effectively characterize outbreak signals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to disease outbreaks in a timely fashion. For a detailed reference on hierarchical models, consult Henrik Madsen and Poul Thyregod's book (2011), ISBN: 9781420091557.

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

aeddo_0.1.1.9000.tar.gz
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aeddo_0.1.1.9000.tgz(r-4.4-any)aeddo_0.1.1.9000.tgz(r-4.3-any)
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aeddo.pdf |aeddo.html
aeddo/json (API)
NEWS

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

Peer review:

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

On CRAN:

4.18 score 1 stars 2 scripts 247 downloads 4 exports 38 dependencies

Last updated 11 months agofrom:541242c449. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winOKOct 12 2024
R-4.5-linuxOKOct 12 2024
R-4.4-winOKOct 12 2024
R-4.4-macOKOct 12 2024
R-4.3-winOKOct 12 2024
R-4.3-macOKOct 12 2024

Exports:%>%aeddoautoplotnll_poisson_gamma

Dependencies:backportscheckmateclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Automated and Early Detection of Disease Outbreaks

Rendered fromaeddo.Rmdusingknitr::rmarkdownon Oct 12 2024.

Last update: 2023-11-13
Started: 2023-11-10