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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 [aut], Richard Aubrey White [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 |
Reference manual: | csalert.pdf |
Vignettes: |
Short term trend |
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 |
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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.