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 | 
| 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 results | 
| Package source: | heatwaveR_0.5.4.tar.gz | 
| Windows binaries: | r-devel: heatwaveR_0.5.4.zip, r-release: heatwaveR_0.5.4.zip, r-oldrel: heatwaveR_0.5.4.zip | 
| macOS binaries: | r-release (arm64): heatwaveR_0.5.4.tgz, r-oldrel (arm64): heatwaveR_0.5.4.tgz, r-release (x86_64): heatwaveR_0.5.4.tgz, r-oldrel (x86_64): heatwaveR_0.5.4.tgz | 
| Old sources: | heatwaveR archive | 
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