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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 |
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 |
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.