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:
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