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.

Version: 0.1.1
Imports: ggplot2, checkmate, dplyr, lifecycle, magrittr, purrr, tibble, tidyr, utils, rlang
Suggests: knitr, MASS, rmarkdown, testthat (≥ 3.0.0), zoo
Published: 2023-11-27
DOI: 10.32614/CRAN.package.aeddo
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>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: aeddo results


Reference manual: aeddo.pdf
Vignettes: Automated and Early Detection of Disease Outbreaks


Package source: aeddo_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): aeddo_0.1.1.tgz, r-oldrel (arm64): aeddo_0.1.1.tgz, r-release (x86_64): aeddo_0.1.1.tgz, r-oldrel (x86_64): aeddo_0.1.1.tgz
Old sources: aeddo archive


Please use the canonical form to link to this page.