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:
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