The different methods for defining, detecting, and categorising the extreme events known as heatwaves or cold-spells, as first proposed in Hobday et al. (2016) <doi:10.1016/j.pocean.2015.12.014> and Hobday et al. (2018) <https://www.jstor.org/stable/26542662>. The functions in this package work on both air and water temperature data. These detection algorithms may be used on non-temperature data as well.
Version: 0.5.4 Depends: R (≥ 3.0.2) Imports: data.table, fasttime, ggplot2, Rcpp, RcppRoll, stats, utils LinkingTo: Rcpp (≥ 0.12.16), RcppArmadillo Suggests: covr, doParallel, dplyr, ggpubr, knitr, lubridate, ncdf4, plyr, rerddap, rmarkdown, stringr, testthat, tibble, tidync, tidyr Published: 2025-04-10 DOI: 10.32614/CRAN.package.heatwaveR Author: Robert W. Schlegel [aut, cre, ctb], Albertus J. Smit [aut, ctb] Maintainer: Robert W. Schlegel <robwschlegel at gmail.com> BugReports: https://github.com/robwschlegel/heatwaveR/issues License: MIT + file LICENSE URL: https://robwschlegel.github.io/heatwaveR/index.html, https://github.com/robwschlegel/heatwaveR NeedsCompilation: yes Citation: heatwaveR citation info Materials: README NEWS CRAN checks: heatwaveR resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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