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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: | 0.4.6 |
Depends: | R (≥ 3.0.2) |
Imports: | data.table, dplyr, ggplot2, grid, lubridate, plyr, Rcpp, RcppRoll, stats, tibble, utils |
LinkingTo: | Rcpp (≥ 0.12.16), RcppArmadillo |
Suggests: | doParallel, covr, ggpubr, knitr, ncdf4, rerddap, rmarkdown, testthat, tidync, tidyr |
Published: | 2021-10-27 |
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_0.4.6.tar.gz |
Windows binaries: | r-devel: heatwaveR_0.4.6.zip, r-release: heatwaveR_0.4.6.zip, r-oldrel: heatwaveR_0.4.6.zip |
macOS binaries: | r-release (arm64): heatwaveR_0.4.6.tgz, r-oldrel (arm64): heatwaveR_0.4.6.tgz, r-release (x86_64): heatwaveR_0.4.6.tgz, r-oldrel (x86_64): heatwaveR_0.4.6.tgz |
Old sources: | heatwaveR archive |
Please use the canonical form https://CRAN.R-project.org/package=heatwaveR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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