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: 1.1.0 Depends: R (≥ 2.10) Imports: dplyr, evd, ggplot2, lubridate, methods, moments, POT, pracma, scales, texmex, tsibble, xts, grDevices, rlang, changepoint Suggests: knitr, ncdf4, rmarkdown, rnaturalearth, terra, testthat (≥ 3.0.0) Published: 2025-06-10 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RtsEva to link to this page.
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