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csalert: Alerts from Public Health Surveillance Data

Helps create alerts and determine trends by using various methods to analyze public health surveillance data. The primary analysis method is based upon a published analytics strategy by Benedetti (2019) <doi:10.5588/pha.19.0002>.

Version: 2024.6.24
Depends: R (≥ 3.3.0)
Imports: data.table, magrittr, ggplot2, glm2, cstidy, cstime, lubridate, stringr, surveillance
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue, covidnor, csdata, csmaps, ggrepel, plnr
Published: 2024-06-24
DOI: 10.32614/CRAN.package.csalert
Author: Beatriz Valcarcel Salamanca [aut], Chi Zhang ORCID iD [aut], Richard Aubrey White ORCID iD [aut, cre], CSIDS [cph]
Maintainer: Richard Aubrey White <hello at rwhite.no>
BugReports: https://github.com/csids/csalert/issues
License: MIT + file LICENSE
URL: https://www.csids.no/csalert/, https://github.com/csids/csalert
NeedsCompilation: no
Materials: README NEWS
CRAN checks: csalert results

Documentation:

Reference manual: csalert.pdf
Vignettes: Short term trend

Downloads:

Package source: csalert_2024.6.24.tar.gz
Windows binaries: r-devel: csalert_2024.6.24.zip, r-release: csalert_2024.6.24.zip, r-oldrel: csalert_2024.6.24.zip
macOS binaries: r-release (arm64): csalert_2024.6.24.tgz, r-oldrel (arm64): csalert_2024.6.24.tgz, r-release (x86_64): csalert_2024.6.24.tgz, r-oldrel (x86_64): csalert_2024.6.24.tgz
Old sources: csalert archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=csalert 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.