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heatwaveR
View on CRAN: Click
here
Download and install heatwaveR package within the R console
Install from CRAN:
install.packages("heatwaveR")
Install from Github:
library("remotes")
install_github("cran/heatwaveR")
Install by package version:
library("remotes")
install_version("heatwaveR", "0.4.6")
Attach the package and use:
library("heatwaveR")
Maintained by
Robert W. Schlegel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-30
Latest Update: 2021-10-27
Description:
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)
and Hobday et al. (2018) . 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.
How to cite:
Robert W. Schlegel (2018). heatwaveR: Detect Heatwaves and Cold-Spells. R package version 0.4.6, https://cran.r-project.org/web/packages/heatwaveR
Previous versions and publish date:
Other packages that cited heatwaveR R package
View heatwaveR citation profile
Other R packages that heatwaveR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the heatwaveR R package
Some associated functions: Algiers . block_average . category . clim_calc . clim_spread . detect_event . event_line . exceedance . geom_flame . geom_lolli . heatwaveR-package . lolli_plot . make_whole . make_whole_fast . na_interp . proto_event . smooth_percentile . sst_Med . sst_NW_Atl . sst_WA . ts2clm .
Some associated R codes: Algiers.R . RcppExports.R . block_average.R . category.R . clim_calc.R . clim_spread.R . detect_event.R . exceedance.R . geoms.R . graph_functions.R . heatwaveR-package.R . make_whole.R . make_whole_fast.R . na_interp.R . proto_event.R . smooth_percentile.R . sst_med.R . sst_nw_atl.R . sst_wa.R . ts2clm.R . Full heatwaveR package functions and examples
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