Package: HIDDA.forecasting Title: Forecasting Based on Surveillance Data Version: 1.1.3 Date: 2026-07-01 Authors@R: c(person("Sebastian", "Meyer", email = "seb.meyer@fau.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1791-9449")), person("Leonhard", "Held", email = "Leonhard.Held@uzh.ch", role = "ctb")) Description: The Handbook of Infectious Disease Data Analysis ("HIDDA") contains a chapter on "Forecasting Based on Surveillance Data". The R package 'HIDDA.forecasting' provides the data and code to reproduce results from the two applications described in that chapter (see the corresponding vignettes): Univariate forecasting of Swiss ILI counts using 'forecast', 'glarma', 'surveillance' and 'prophet', and an age-stratified analysis of norovirus gastroenteritis in Berlin using the multivariate time-series model implemented in surveillance::hhh4(). URL: https://hidda.github.io/forecasting/, https://github.com/HIDDA/forecasting, https://ee-lib.r-universe.dev/HIDDA.forecasting BugReports: https://github.com/HIDDA/forecasting/issues Depends: R (>= 3.4.0) Imports: grDevices, graphics, stats, utils, zoo, scoringRules (>= 0.9.4) Suggests: knitr, rmarkdown, ggplot2 (>= 3.0.0), dplyr, lattice, fanplot, surveillance (>= 1.16.0), hhh4contacts, forecast, prophet (>= 0.3), glarma, MASS License: GPL (>= 2) LazyData: TRUE VignetteBuilder: knitr, rmarkdown Config/roxygen2/markdown: TRUE Config/roxygen2/old_usage: TRUE Config/roxygen2/version: 8.0.0 Repository: https://ee-lib.r-universe.dev Date/Publication: 2026-07-02 13:24:27 UTC RemoteUrl: https://github.com/HIDDA/forecasting RemoteRef: HEAD RemoteSha: 97d197e0ee9fd441b628795d99e457ef2f2e2861 NeedsCompilation: no Packaged: 2026-07-02 14:11:41 UTC; root Author: Sebastian Meyer [aut, cre] (ORCID: ), Leonhard Held [ctb] Maintainer: Sebastian Meyer