Package: ggsurveillance Title: Tools for Outbreak Investigation/Infectious Disease Surveillance Version: 0.5.2 Authors@R: person("Alexander", "Bartel", , "alexander.bartel@fu-berlin.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1280-6138")) Description: Create epicurves, epigantt charts, and diverging bar charts using 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation (time series data). Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2', (D) labelling of the last value of a time-series. An introduction on how to use epicurves can be found on the US CDC website (2012, ). License: GPL (>= 3) URL: https://ggsurveillance.biostats.dev, https://github.com/biostats-dev/ggsurveillance BugReports: https://github.com/biostats-dev/ggsurveillance/issues Depends: R (>= 4.2.0) Imports: cli, dplyr, forcats, ggplot2 (>= 3.5.0), glue, ISOweek, legendry, lubridate, rlang, scales (>= 1.4.0), stringr, tidyr, tidyselect Suggests: ggrepel, Hmisc, knitr, outbreaks, plotly, rmarkdown, spelling, testthat (>= 3.0.0), vdiffr (>= 1.0.8) VignetteBuilder: knitr Config/testthat/edition: 3 Encoding: UTF-8 Language: en-GB LazyData: true NeedsCompilation: no Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Config/pak/sysreqs: libicu-dev Repository: https://r-multiverse-staging.r-universe.dev Date/Publication: 2025-11-27 14:33:38 UTC RemoteUrl: https://github.com/biostats-dev/ggsurveillance RemoteRef: b1417c45d47dc19898f8b66f9911166c030b12c1 RemoteSha: b1417c45d47dc19898f8b66f9911166c030b12c1 Packaged: 2026-06-15 10:14:11 UTC; root Author: Alexander Bartel [aut, cre] (ORCID: ) Maintainer: Alexander Bartel