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  "Title": "A Collection of Methods for Singular Spectrum Analysis",
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  "Author": "Anton Korobeynikov, Alex Shlemov, Konstantin Usevich, Nina\nGolyandina",
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  "Description": "Methods and tools for Singular Spectrum Analysis including\ndecomposition, forecasting and gap-filling for univariate and\nmultivariate time series. General description of the methods\nwith many examples can be found in the book Golyandina (2018,\n<doi:10.1007/978-3-662-57380-8>). See 'citation(\"Rssa\")' for\ndetails.",
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    "cadzow",
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    "cleanup",
    "clone",
    "clplot",
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    "fossa",
    "frobenius.cor",
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    "grouping.auto.pgram",
    "grouping.auto.wcor",
    "hankel",
    "hbhcols",
    "hbhmatmul",
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    "hcols",
    "hmatmul",
    "hmatr",
    "hrows",
    "igapfill",
    "iossa",
    "is.hbhmat",
    "is.hmat",
    "is.tmat",
    "lrr",
    "new.hbhmat",
    "new.hmat",
    "new.tmat",
    "nlambda",
    "nsigma",
    "nspecial",
    "nu",
    "nv",
    "owcor",
    "parestimate",
    "precache",
    "reconstruct",
    "rforecast",
    "roots",
    "ssa",
    "ssa.capabilities",
    "summarize.gaps",
    "tcols",
    "tmatmul",
    "trows",
    "vforecast",
    "wcor",
    "wcor.default",
    "wnorm"
  ],
  "_datasets": [
    {
      "name": "AustralianWine",
      "title": "Australian Wine Sales",
      "object": "AustralianWine",
      "file": "AustralianWine.rda",
      "class": [
        "mts",
        "ts",
        "matrix"
      ],
      "fields": [
        "Total",
        "Drywhite",
        "Fortified",
        "Red",
        "Rose",
        "Sparkling",
        "Sweetwhite"
      ],
      "rows": 187,
      "table": true,
      "tojson": true
    },
    {
      "name": "Barbara",
      "title": "Classical 'Barbara' image (color, wide)",
      "object": "Barbara",
      "file": "Barbara.rda",
      "class": [
        "array"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "Mars",
      "title": "Webcam image of Mars",
      "object": "Mars",
      "file": "Mars.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 258,
      "table": true,
      "tojson": true
    },
    {
      "name": "MotorVehicle",
      "title": "Total U.S. Domestic and Foreign Car Sales",
      "object": "MotorVehicle",
      "file": "MotorVehicle.rda",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "USUnemployment",
      "title": "U.S. unemployment figures",
      "object": "USUnemployment",
      "file": "USUnemployment.rda",
      "class": [
        "mts",
        "ts",
        "matrix"
      ],
      "fields": [
        "M_TEEN",
        "MALE",
        "F_TEEN",
        "FEMALE"
      ],
      "rows": 408,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "Rssa-package",
      "title": "A collection of methods for singular spectrum analysis",
      "topics": [
        "Rssa-package",
        "Rssa"
      ]
    },
    {
      "page": "AustralianWine",
      "title": "Australian Wine Sales",
      "topics": [
        "AustralianWine"
      ]
    },
    {
      "page": "Barbara",
      "title": "Classical `Barbara' image (color, wide)",
      "topics": [
        "Barbara"
      ]
    },
    {
      "page": "bforecast",
      "title": "Perform bootstrap SSA forecasting of the series",
      "topics": [
        "bforecast",
        "bforecast.1d.ssa",
        "bforecast.default",
        "bforecast.ssa",
        "bforecast.toeplitz.ssa"
      ]
    },
    {
      "page": "cadzow",
      "title": "Cadzow Iterations",
      "topics": [
        "cadzow",
        "cadzow.ssa"
      ]
    },
    {
      "page": "calcv",
      "title": "Calculate Factor Vector(s)",
      "topics": [
        "calc.v",
        "calc.v.cssa",
        "calc.v.ssa"
      ]
    },
    {
      "page": "cleanup",
      "title": "Cleanup of all cached data from SSA objects",
      "topics": [
        "cleanup",
        "cleanup.ssa"
      ]
    },
    {
      "page": "clone",
      "title": "Cloning of SSA objects",
      "topics": [
        "clone",
        "clone.ssa"
      ]
    },
    {
      "page": "clplot",
      "title": "Ratio of complete lag vectors in dependence on window length",
      "topics": [
        "clplot"
      ]
    },
    {
      "page": "decompose",
      "title": "Perform SSA Decomposition",
      "topics": [
        "decompose",
        "decompose.cssa",
        "decompose.default",
        "decompose.ssa",
        "decompose.toeplitz.ssa"
      ]
    },
    {
      "page": "eossa",
      "title": "ESPRIT-based O-SSA nested decomposition",
      "topics": [
        "eossa",
        "eossa.ssa"
      ]
    },
    {
      "page": "forecast",
      "title": "Perform SSA forecasting of series",
      "topics": [
        "forecast.1d.ssa",
        "forecast.ssa",
        "forecast.toeplitz.ssa",
        "predict.1d.ssa",
        "predict.mssa",
        "predict.ssa",
        "predict.toeplitz.ssa"
      ]
    },
    {
      "page": "fossa",
      "title": "Nested Filter-adjusted O-SSA decomposition",
      "topics": [
        "fossa",
        "fossa.ssa"
      ]
    },
    {
      "page": "frobenius.cor",
      "title": "Calculate Frobenius correlations of the component matrices",
      "topics": [
        "frobenius.cor"
      ]
    },
    {
      "page": "gapfill",
      "title": "Perform SSA gapfilling via forecast",
      "topics": [
        "gapfill",
        "gapfill.1d.ssa",
        "gapfill.cssa",
        "gapfill.mssa",
        "gapfill.toeplitz.ssa"
      ]
    },
    {
      "page": "grouping.auto",
      "title": "Group Elementary Series",
      "topics": [
        "grouping.auto"
      ]
    },
    {
      "page": "autossa",
      "title": "Group elementary series using periodogram",
      "topics": [
        "grouping.auto.pgram",
        "grouping.auto.pgram.1d.ssa",
        "grouping.auto.pgram.ssa",
        "grouping.auto.pgram.toeplitz.ssa",
        "plot.grouping.auto.pgram"
      ]
    },
    {
      "page": "clusterify",
      "title": "Group Elementary Series Using W-correlation Matrix",
      "topics": [
        "grouping.auto.wcor",
        "grouping.auto.wcor.ssa"
      ]
    },
    {
      "page": "hbhankel",
      "title": "Hankel with Hankel block matrices operations.",
      "topics": [
        "hbhankel",
        "hbhcols",
        "hbhmatmul",
        "hbhrows",
        "is.hbhmat",
        "new.hbhmat"
      ]
    },
    {
      "page": "hankel",
      "title": "Hankel matrices operations.",
      "topics": [
        "hankel",
        "hcols",
        "hmatmul",
        "hrows",
        "is.hmat",
        "new.hmat"
      ]
    },
    {
      "page": "hmatr",
      "title": "Calculate the heterogeneity matrix.",
      "topics": [
        "hmatr",
        "plot.hmatr"
      ]
    },
    {
      "page": "igapfill",
      "title": "Perform SSA gapfilling via iterative reconstruction",
      "topics": [
        "igapfill",
        "igapfill.1d.ssa",
        "igapfill.cssa",
        "igapfill.nd.ssa",
        "igapfill.ssa",
        "igapfill.toeplitz.ssa"
      ]
    },
    {
      "page": "iossa",
      "title": "Iterative O-SSA nested decomposition",
      "topics": [
        "iossa",
        "iossa.ssa"
      ]
    },
    {
      "page": "iossa.result",
      "title": "Summary of Iterative O-SSA results",
      "topics": [
        "iossa.result",
        "print.iossa.result",
        "summary.iossa.result"
      ]
    },
    {
      "page": "lrr",
      "title": "Calculate the min-norm Linear Recurrence Relation",
      "topics": [
        "lrr",
        "lrr.1d.ssa",
        "lrr.default",
        "lrr.ssa",
        "lrr.toeplitz.ssa",
        "plot.lrr",
        "roots",
        "roots.lrr"
      ]
    },
    {
      "page": "Mars",
      "title": "Webcam image of Mars",
      "topics": [
        "Mars"
      ]
    },
    {
      "page": "MotorVehicle",
      "title": "Total U.S. Domestic and Foreign Car Sales",
      "topics": [
        "MotorVehicle"
      ]
    },
    {
      "page": "owcor",
      "title": "Calculate generalized (oblique) W-correlation matrix",
      "topics": [
        "owcor"
      ]
    },
    {
      "page": "parest",
      "title": "Estimate periods from (set of) eigenvectors",
      "topics": [
        "parestimate",
        "parestimate.1d.ssa",
        "parestimate.cssa",
        "parestimate.mssa",
        "parestimate.nd.ssa",
        "parestimate.toeplitz.ssa"
      ]
    },
    {
      "page": "plot",
      "title": "Plot SSA object",
      "topics": [
        "plot.ssa"
      ]
    },
    {
      "page": "plot.reconstruct",
      "title": "Plot the results of SSA reconstruction",
      "topics": [
        "plot.1d.ssa.reconstruction",
        "plot.2d.ssa.reconstruction",
        "plot.mssa.reconstruction",
        "plot.nd.ssa.reconstruction",
        "plot.reconstruction",
        "plot.ssa.reconstruction",
        "plot.toeplitz.ssa.reconstruction"
      ]
    },
    {
      "page": "precache",
      "title": "Calculates and caches elementary components inside SSA object",
      "topics": [
        "precache",
        "precache.ssa"
      ]
    },
    {
      "page": "reconstruct",
      "title": "Perform a series reconstruction",
      "topics": [
        "reconstruct",
        "reconstruct.ssa"
      ]
    },
    {
      "page": "residuals",
      "title": "Obtain the residuals from SSA reconstruction",
      "topics": [
        "residuals.ssa",
        "residuals.ssa.reconstruction"
      ]
    },
    {
      "page": "rforecast",
      "title": "Perform recurrent SSA forecasting of the series",
      "topics": [
        "rforecast",
        "rforecast.1d.ssa",
        "rforecast.cssa",
        "rforecast.default",
        "rforecast.mssa",
        "rforecast.pssa.1d.ssa",
        "rforecast.ssa",
        "rforecast.toeplitz.ssa"
      ]
    },
    {
      "page": "ssa",
      "title": "Create a new SSA object",
      "topics": [
        "new.ssa",
        "ssa"
      ]
    },
    {
      "page": "ssa-data",
      "title": "Input Data Formats Used by SSA Routines",
      "topics": [
        "ssa-input"
      ]
    },
    {
      "page": "ssa-routines",
      "title": "Properties of SSA object",
      "topics": [
        "$.ssa",
        "contributions",
        "nlambda",
        "nsigma",
        "nspecial",
        "nspecial.ssa",
        "nu",
        "nv",
        "ssa-object",
        "summary.ssa"
      ]
    },
    {
      "page": "ssa.capabilities",
      "title": "SSA methods and capabilities check",
      "topics": [
        "ssa.capabilities"
      ]
    },
    {
      "page": "summarize.gaps",
      "title": "Summarize Gaps in a Series",
      "topics": [
        "summarize.gaps",
        "summarize.gaps.1d.ssa",
        "summarize.gaps.cssa",
        "summarize.gaps.default",
        "summarize.gaps.ssa",
        "summarize.gaps.toeplitz.ssa"
      ]
    },
    {
      "page": "toeplitz",
      "title": "Toeplitz matrices operations.",
      "topics": [
        "is.tmat",
        "new.tmat",
        "tcols",
        "tmatmul",
        "trows"
      ]
    },
    {
      "page": "USUnemployment",
      "title": "U.S. unemployment figures",
      "topics": [
        "USUnemployment"
      ]
    },
    {
      "page": "vforecast",
      "title": "Perform vector SSA forecasting of the series",
      "topics": [
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