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
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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_0.4.6.zip, r-release: heatwaveR_0.5.4.zip, r-oldrel: heatwaveR_0.4.6.zip |
macOS binaries: | r-devel (arm64): heatwaveR_0.5.4.tgz, r-release (arm64): heatwaveR_0.5.4.tgz, r-oldrel (arm64): heatwaveR_0.5.4.tgz, r-devel (x86_64): 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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