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 of hourly and daily temporal resolution. These detection algorithms may be used on
non-temperature data as well.
| Version: |
0.5.5 |
| 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: |
2026-01-13 |
| 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 results |