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  "Package": "RtsEva",
  "Title": "Performs the Transformed-Stationary Extreme Values Analysis",
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  "Authors@R": "person(given = \"Alois\",\nfamily = \"Tilloy\",\nrole = c(\"aut\", \"cre\"),\nemail = \"alois.tilloy@ec.europa.eu\",\ncomment = c(ORCID = \"https://orcid.org/0000-0002-5881-0642\"))",
  "Maintainer": "Alois Tilloy <alois.tilloy@ec.europa.eu>",
  "Description": "Adaptation of the 'Matlab' 'tsEVA' toolbox developed by\nLorenzo Mentaschi available here:\n<https://github.com/menta78/tsEva>. It contains an\nimplementation of the Transformed-Stationary (TS) methodology\nfor non-stationary extreme value Analysis (EVA) as described in\nMentaschi et al. (2016) <doi:10.5194/hess-20-3527-2016>. In\nsynthesis this approach consists in: (i) transforming a\nnon-stationary time series into a stationary one to which the\nstationary extreme value theory can be applied; and (ii)\nreverse-transforming the result into a non-stationary extreme\nvalue distribution. 'RtsEva' offers several options for trend\nestimation (mean, extremes, seasonal) and contains multiple\nplotting functions displaying different aspects of the\nnon-stationarity of extremes.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/r-lib/devtools,\nhttps://github.com/Alowis/RtsEva",
  "VignetteBuilder": "knitr",
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  "BugReports": "https://github.com/Alowis/RtsEva/issues",
  "Repository": "https://alowis.r-universe.dev",
  "Date/Publication": "2026-09-25 10:29:27 UTC",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-25 14:13:12 UTC",
    "User": "root"
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  "Author": "Alois Tilloy [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-5881-0642>)",
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  "_created": "2026-09-25T14:13:12.000Z",
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    "initPercentiles",
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    "tsEvaComputeReturnPeriodsGPD",
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    "tsEvaDetrendTimeSeries",
    "tsEvaFillSeries",
    "tsEvaFindTrendThreshold",
    "tsEvaNanRunnigBlowTh",
    "tsEvaNanRunningMean",
    "tsEvaNanRunningPercentiles",
    "tsEvaNanRunningStatistics",
    "tsEvaNanRunningVariance",
    "TsEvaNs",
    "tsEvaPlotAllRLevelsGEV",
    "tsEvaPlotAllRLevelsGPD",
    "tsEvaPlotGEVImageScFromAnalysisObj",
    "tsEvaPlotGPDImageScFromAnalysisObj",
    "tsEvaPlotReturnLevelsGEV",
    "tsEvaPlotReturnLevelsGEVFromAnalysisObj",
    "tsEvaPlotReturnLevelsGPD",
    "tsEvaPlotReturnLevelsGPDFromAnalysisObj",
    "tsEvaPlotSeriesTrendStdDevFromAnalyisObj",
    "tsEvaPlotTransfToStatFromAnalysisObj",
    "tsEvaRunningMeanTrend",
    "tsEvaSampleData",
    "tsEvaTransformSeriesToStationaryMMXTrend",
    "tsEvaTransformSeriesToStationaryMultiplicativeSeasonality",
    "tsEvaTransformSeriesToStationaryPeakTrend",
    "tsEvaTransformSeriesToStationaryTrendAndChangepts",
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    "tsEvaTransformSeriesToStationaryTrendOnly",
    "tsEvaTransformSeriesToStationaryTrendOnly_ciPercentile",
    "tsEvaTransformSeriesToStatSeasonal_ciPercentile",
    "tsEVstatistics",
    "tsGetNumberPerYear",
    "tsGetPOT"
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      "title": "Simulated river discharge of the Ardeche river at Saint Martin d'Ardeche",
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      "fields": [
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  "_help": [
    {
      "page": "ArdecheStMartin",
      "title": "Simulated river discharge of the Ardeche river at Saint Martin d'Ardeche",
      "topics": [
        "ArdecheStMartin"
      ]
    },
    {
      "page": "check_timeseries",
      "title": "Check if all years in a time series are present",
      "topics": [
        "check_timeseries"
      ]
    },
    {
      "page": "computeAnnualMaxima",
      "title": "computeAnnualMaxima",
      "topics": [
        "computeAnnualMaxima"
      ]
    },
    {
      "page": "computeMonthlyMaxima",
      "title": "computeMonthlyMaxima",
      "topics": [
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    },
    {
      "page": "DanubeVienna",
      "title": "Simulated river discharge of the Danube river at Vienna",
      "topics": [
        "DanubeVienna"
      ]
    },
    {
      "page": "declustpeaks",
      "title": "declustpeaks",
      "topics": [
        "declustpeaks"
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    },
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      "page": "EbroZaragoza",
      "title": "Simulated river discharge of the Ebro river at Zaragoza",
      "topics": [
        "EbroZaragoza"
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    {
      "page": "empdis",
      "title": "empdis: Empirical Distribution Function",
      "topics": [
        "empdis"
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      "page": "empdisl",
      "title": "Empirical Distribution Function",
      "topics": [
        "empdisl"
      ]
    },
    {
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      "title": "findMax",
      "topics": [
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    {
      "page": "initPercentiles",
      "title": "Initialize Percentiles",
      "topics": [
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      "title": "Max Daily Value Function",
      "topics": [
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      "title": "Simulated river discharge of the Rhone river at Lyon",
      "topics": [
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      "title": "Parse named arguments and assign values to a predefined argument structure.",
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      ]
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      "title": "Estimate Average Seasonality",
      "topics": [
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      "page": "tsEvaChangepts",
      "title": "Change point detection in time series",
      "topics": [
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    },
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      "page": "tsEvaComputeReturnPeriodsGPD",
      "title": "tsEvaComputeReturnPeriodsGPD",
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      ]
    },
    {
      "page": "tsEvaComputeRLsGEVGPD",
      "title": "tsEvaComputeRLsGEVGPD",
      "topics": [
        "tsEvaComputeRLsGEVGPD"
      ]
    },
    {
      "page": "tsEvaComputeTimeRP",
      "title": "tsEvaComputeTimeRP",
      "topics": [
        "tsEvaComputeTimeRP"
      ]
    },
    {
      "page": "tsEvaDetrendTimeSeries",
      "title": "Detrend a Time Series",
      "topics": [
        "tsEvaDetrendTimeSeries"
      ]
    },
    {
      "page": "tsEvaFillSeries",
      "title": "Fill missing values in a time series using a moving average approach.",
      "topics": [
        "tsEvaFillSeries"
      ]
    },
    {
      "page": "tsEvaFindTrendThreshold",
      "title": "Find Trend Threshold",
      "topics": [
        "tsEvaFindTrendThreshold"
      ]
    },
    {
      "page": "tsEvaNanRunnigBlowTh",
      "title": "Calculate the return period of low flow based on a threshold and window size",
      "topics": [
        "tsEvaNanRunnigBlowTh"
      ]
    },
    {
      "page": "tsEvaNanRunningMean",
      "title": "Calculate the running mean of a time series with NaN handling",
      "topics": [
        "tsEvaNanRunningMean"
      ]
    },
    {
      "page": "tsEvaNanRunningPercentiles",
      "title": "tsEvaNanRunningPercentiles",
      "topics": [
        "tsEvaNanRunningPercentiles"
      ]
    },
    {
      "page": "tsEvaNanRunningStatistics",
      "title": "tsEvaNanRunningStatistics",
      "topics": [
        "tsEvaNanRunningStatistics"
      ]
    },
    {
      "page": "tsEvaNanRunningVariance",
      "title": "Calculate the running variance of a time series with NaN handling",
      "topics": [
        "tsEvaNanRunningVariance"
      ]
    },
    {
      "page": "TsEvaNs",
      "title": "TsEvaNs Function",
      "topics": [
        "TsEvaNs"
      ]
    },
    {
      "page": "tsEvaPlotAllRLevelsGEV",
      "title": "tsEvaPlotAllRLevelsGEV",
      "topics": [
        "tsEvaPlotAllRLevelsGEV"
      ]
    },
    {
      "page": "tsEvaPlotAllRLevelsGPD",
      "title": "tsEvaPlotAllRLevelsGPD",
      "topics": [
        "tsEvaPlotAllRLevelsGPD"
      ]
    },
    {
      "page": "tsEvaPlotGEVImageSc",
      "title": "tsEvaPlotGEVImageSc",
      "topics": [
        "tsEvaPlotGEVImageSc"
      ]
    },
    {
      "page": "tsEvaPlotGEVImageScFromAnalysisObj",
      "title": "tsEvaPlotGEVImageScFromAnalysisObj",
      "topics": [
        "tsEvaPlotGEVImageScFromAnalysisObj"
      ]
    },
    {
      "page": "tsEvaPlotGPDImageSc",
      "title": "tsEvaPlotGPDImageSc",
      "topics": [
        "tsEvaPlotGPDImageSc"
      ]
    },
    {
      "page": "tsEvaPlotGPDImageScFromAnalysisObj",
      "title": "tsEvaPlotGPDImageScFromAnalysisObj",
      "topics": [
        "tsEvaPlotGPDImageScFromAnalysisObj"
      ]
    },
    {
      "page": "tsEvaPlotReturnLevelsGEV",
      "title": "tsEvaPlotReturnLevelsGEV",
      "topics": [
        "tsEvaPlotReturnLevelsGEV"
      ]
    },
    {
      "page": "tsEvaPlotReturnLevelsGEVFromAnalysisObj",
      "title": "tsEvaPlotReturnLevelsGEVFromAnalysisObj",
      "topics": [
        "tsEvaPlotReturnLevelsGEVFromAnalysisObj"
      ]
    },
    {
      "page": "tsEvaPlotReturnLevelsGPD",
      "title": "tsEvaPlotReturnLevelsGPD",
      "topics": [
        "tsEvaPlotReturnLevelsGPD"
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    },
    {
      "page": "tsEvaPlotReturnLevelsGPDFromAnalysisObj",
      "title": "tsEvaPlotReturnLevelsGPDFromAnalysisObj",
      "topics": [
        "tsEvaPlotReturnLevelsGPDFromAnalysisObj"
      ]
    },
    {
      "page": "tsEvaPlotSeriesTrendStdDevFromAnalyisObj",
      "title": "tsEvaPlotSeriesTrendStdDevFromAnalyisObj",
      "topics": [
        "tsEvaPlotSeriesTrendStdDevFromAnalyisObj"
      ]
    },
    {
      "page": "tsEvaPlotTransfToStat",
      "title": "tsEvaPlotTransfToStat",
      "topics": [
        "tsEvaPlotTransfToStat"
      ]
    },
    {
      "page": "tsEvaPlotTransfToStatFromAnalysisObj",
      "title": "tsEvaPlotTransfToStatFromAnalysisObj",
      "topics": [
        "tsEvaPlotTransfToStatFromAnalysisObj"
      ]
    },
    {
      "page": "tsEvaRunningMeanTrend",
      "title": "Calculate the running mean trend of a time series",
      "topics": [
        "tsEvaRunningMeanTrend"
      ]
    },
    {
      "page": "tsEvaSampleData",
      "title": "tsEvaSampleData Function",
      "topics": [
        "tsEvaSampleData"
      ]
    },
    {
      "page": "tsEvaTransformSeriesToStationaryMMXTrend",
      "title": "tsEvaTransformSeriesToStationaryMMXTrend",
      "topics": [
        "tsEvaTransformSeriesToStationaryMMXTrend"
      ]
    },
    {
      "page": "tsEvaTransformSeriesToStationaryMultiplicativeSeasonality",
      "title": "tsEvaTransformSeriesToStationaryMultiplicativeSeasonality",
      "topics": [
        "tsEvaTransformSeriesToStationaryMultiplicativeSeasonality"
      ]
    },
    {
      "page": "tsEvaTransformSeriesToStationaryPeakTrend",
      "title": "tsEvaTransformSeriesToStationaryPeakTrend",
      "topics": [
        "tsEvaTransformSeriesToStationaryPeakTrend"
      ]
    },
    {
      "page": "tsEvaTransformSeriesToStationaryTrendAndChangepts",
      "title": "Transform Time Series to Stationary Trend and Change Points",
      "topics": [
        "tsEvaTransformSeriesToStationaryTrendAndChangepts"
      ]
    },
    {
      "page": "tsEvaTransformSeriesToStationaryTrendAndChangepts_ciPercentile",
      "title": "Transform Time Series to Stationary Trend and Change Points with Confidence Intervals",
      "topics": [
        "tsEvaTransformSeriesToStationaryTrendAndChangepts_ciPercentile"
      ]
    },
    {
      "page": "tsEvaTransformSeriesToStationaryTrendOnly",
      "title": "tsEvaTransformSeriesToStationaryTrendOnly",
      "topics": [
        "tsEvaTransformSeriesToStationaryTrendOnly"
      ]
    },
    {
      "page": "tsEvaTransformSeriesToStationaryTrendOnly_ciPercentile",
      "title": "tsEvaTransformSeriesToStationaryTrendOnly_ciPercentile",
      "topics": [
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      ]
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