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: 2023.6.17
Depends: R (≥ 3.3.0)
Imports: data.table, magrittr, ggplot2, glm2, cstidy, cstime, stringr
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue, covidnor, csdata, csmaps, ggrepel, plnr
Published: 2023-06-15
Author: Beatriz Valcarcel Salamanca ORCID iD [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_2023.6.17.tar.gz
Windows binaries: r-prerel: csalert_2023.6.17.zip, r-release: csalert_2023.6.17.zip, r-oldrel: csalert_2023.6.17.zip
macOS binaries: r-prerel (arm64): csalert_2023.6.17.tgz, r-release (arm64): csalert_2023.6.17.tgz, r-oldrel (arm64): csalert_2023.6.17.tgz, r-prerel (x86_64): csalert_2023.6.17.tgz, r-release (x86_64): csalert_2023.6.17.tgz

Linking:

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