aeddo: Automated and Early Detection of Disease Outbreaks (original) (raw)
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 |
| BugReports: | https://github.com/ssi-dk/aeddo/issues |
| License: | MIT + file |
| 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 formhttps://CRAN.R-project.org/package=aeddoto link to this page.