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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
 [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 |
Documentation:
Downloads:
Linking:
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.
Health stats visible at Monitor.