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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 [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/aeddo/issues |
License: | MIT + file LICENSE |
URL: | https://ssi-dk.github.io/aeddo/, https://github.com/ssi-dk/aeddo |
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: aeddo_0.1.1.zip, r-release: aeddo_0.1.1.zip, r-oldrel: aeddo_0.1.1.zip |
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 https://CRAN.R-project.org/package=aeddo 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.