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 ORCID iD [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


Reference manual: RtsEva.pdf
Vignettes: general-demo


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


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