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: | 1.1.0 |
| 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 formhttps://CRAN.R-project.org/package=RtsEvato link to this page.