RtsEva: Performs the Transformed-Stationary Extreme Values Analysis

Adaptation of the 'Matlab' 'tsEVA' toolbox developed by Lorenzo Mentaschi available here: <https://github.com/menta78/tsEva>. It contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary extreme value Analysis (EVA) as described in Mentaschi et al. (2016) <doi:10.5194/hess-20-3527-2016>. In synthesis this approach consists in: (i) transforming a non-stationary time series into a stationary one to which the stationary extreme value theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution. 'RtsEva' offers several options for trend estimation (mean, extremes, seasonal) and contains multiple plotting functions displaying different aspects of the non-stationarity of extremes.

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	dplyr, evd, ggplot2, lubridate, methods, moments, POT, pracma, scales, texmex, tsibble, xts, grDevices, stats, rlang, changepoint
Suggests:	knitr, ncdf4, rmarkdown, rnaturalearth, terra, testthat (≥ 3.0.0)
Published:	2024-06-24
DOI:	10.32614/CRAN.package.RtsEva
Author:	Alois Tilloy [aut, cre]
Maintainer:	Alois Tilloy <alois.tilloy at ec.europa.eu>
BugReports:	https://github.com/Alowis/RtsEva/issues
License:	GPL (≥ 3)
URL:	https://github.com/r-lib/devtools, https://github.com/Alowis/RtsEva
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	RtsEva results

Documentation:

Reference manual:	RtsEva.pdf
Vignettes:	general-demo

Downloads:

Package source:	RtsEva_1.0.0.tar.gz
Windows binaries:	r-devel: RtsEva_1.0.0.zip, r-release: RtsEva_1.0.0.zip, r-oldrel: RtsEva_1.0.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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