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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.
Getting started
Browse package contents
Package details |
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| Author | Alois Tilloy [aut, cre] (<https://orcid.org/0000-0002-5881-0642>) |
| Maintainer | Alois Tilloy <alois.tilloy@ec.europa.eu> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://github.com/r-lib/devtools https://github.com/Alowis/RtsEva |
| Package repository | View on CRAN |
| Installation |
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