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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 [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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.