Package: RtsEva 1.0.0
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.
Authors:
RtsEva_1.0.0.tar.gz
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RtsEva_1.0.0.tgz(r-4.4-any)RtsEva_1.0.0.tgz(r-4.3-any)
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RtsEva.pdf |RtsEva.html✨
RtsEva/json (API)
NEWS
| # Install 'RtsEva' in R: |
| install.packages('RtsEva', repos = c('https://alowis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alowis/rtseva/issues
- ArdecheStMartin - Simulated river discharge of the Ardeche river at Saint Martin d'Ardeche
- DanubeVienna - Simulated river discharge of the Danube river at Vienna
- EbroZaragoza - Simulated river discharge of the Ebro river at Zaragoza
- RhoneLyon - Simulated river discharge of the Rhone river at Lyon
extreme-value-statisticsnon-stationary-environment
Last updated 2 months agofrom:5598f693c9. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Exports:check_timeseriescomputeAnnualMaximacomputeMonthlyMaximadeclustpeaksempdisempdislfindMaxinitPercentilesmax_daily_valuetsEasyParseNamedArgstsEstimateAverageSeasonalitytsEvaChangeptstsEvaComputeReturnLevelsGEVtsEvaComputeReturnLevelsGEVFromAnalysisObjtsEvaComputeReturnLevelsGPDtsEvaComputeReturnLevelsGPDFromAnalysisObjtsEvaComputeReturnPeriodsGEVtsEvaComputeReturnPeriodsGPDtsEvaComputeRLsGEVGPDtsEvaComputeTimeRPtsEvaDetrendTimeSeriestsEvaFillSeriestsEvaFindTrendThresholdtsEvaNanRunnigBlowThtsEvaNanRunningMeantsEvaNanRunningPercentilestsEvaNanRunningStatisticstsEvaNanRunningVarianceTsEvaNstsEvaPlotAllRLevelsGEVtsEvaPlotAllRLevelsGPDtsEvaPlotGEVImageScFromAnalysisObjtsEvaPlotGPDImageScFromAnalysisObjtsEvaPlotReturnLevelsGEVtsEvaPlotReturnLevelsGEVFromAnalysisObjtsEvaPlotReturnLevelsGPDtsEvaPlotReturnLevelsGPDFromAnalysisObjtsEvaPlotSeriesTrendStdDevFromAnalyisObjtsEvaPlotTransfToStatFromAnalysisObjtsEvaRunningMeanTrendtsEvaSampleDatatsEvaTransformSeriesToStationaryMultiplicativeSeasonalitytsEvaTransformSeriesToStationaryPeakTrendtsEvaTransformSeriesToStationaryTrendAndChangeptstsEvaTransformSeriesToStationaryTrendAndChangepts_ciPercentiletsEvaTransformSeriesToStationaryTrendOnlytsEvaTransformSeriesToStationaryTrendOnly_ciPercentiletsEvaTransformSeriesToStatSeasonal_ciPercentiletsEVstatisticstsGetNumberPerYeartsGetPOT
Dependencies:anytimeBHchangepointclicolorspacecpp11dplyrellipsisevdfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmomentsmunsellmvtnormnlmepillarpkgconfigPOTpracmaR6RColorBrewerRcpprlangscalestexmextibbletidyselecttimechangetsibbleutf8vctrsviridisLitewithrxtszoo
