{
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  "Package": "deseats",
  "Type": "Package",
  "Title": "Data-Driven Locally Weighted Regression for Trend and\nSeasonality in TS",
  "Version": "1.1.3",
  "Date": "2026-04-30",
  "Authors@R": "c(person(given = \"Yuanhua\",\nfamily = \"Feng\",\nrole = \"aut\",\ncomment = \"Paderborn University, Germany\"),\nperson(given = \"Dominik\",\nfamily = \"Schulz\",\nrole = c(\"aut\", \"cre\"),\nemail = \"dominik.schulz.r@gmail.com\",\ncomment = \"formerly Paderborn University, Germany\"))",
  "Maintainer": "Dominik Schulz <dominik.schulz.r@gmail.com>",
  "Description": "Various methods for the identification of trend and\nseasonal components in time series (TS) are provided. Among\nthem is a data-driven locally weighted regression approach with\nautomatically selected bandwidth for equidistant short-memory\ntime series. The approach is a combination / extension of the\nalgorithms by Feng (2013) <doi:10.1080/02664763.2012.740626>\nand Feng, Y., Gries, T., and Fritz, M. (2020)\n<doi:10.1080/10485252.2020.1759598> and a brief description of\nthis new method is provided in the package documentation.\nFurthermore, the package allows its users to apply the base\nmodel of the Berlin procedure, version 4.1, as described in\nSpeth (2004)\n<https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile>.\nPermission to include this procedure was kindly provided by the\nFederal Statistical Office of Germany.",
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  "Date/Publication": "2026-04-30 11:28:56 UTC",
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  "Author": "Yuanhua Feng [aut] (Paderborn University, Germany),\nDominik Schulz [aut, cre] (formerly Paderborn University, Germany)",
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    "arma_to_ma",
    "autoplot",
    "boundary_method",
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    "bwidth",
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    "expo",
    "fitted",
    "gain",
    "hA_calc",
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    "kernel_fun<-",
    "llin_decomp",
    "lm_decomp",
    "ma_decomp",
    "measures",
    "order_poly",
    "order_poly<-",
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    "predict",
    "read_ts",
    "residuals",
    "run_decomposition",
    "runDecomposition",
    "s_semiarma",
    "season",
    "season<-",
    "seasonplot",
    "seasonplot_gg",
    "select_bwidth",
    "set_options",
    "show",
    "trend",
    "zoo_to_ts"
  ],
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      "name": "CIVLABOR",
      "title": "Monthly Civilian Labor Force Level in the USA",
      "object": "CIVLABOR",
      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
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      "object": "CONSUMPTION",
      "class": [
        "ts"
      ],
      "fields": [
        "NCRNSAXDCAUQ"
      ],
      "rows": 242,
      "table": true,
      "tojson": true
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      "title": "Daily Confirmed New COVID-19 Cases in Germany",
      "object": "COVID",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "DEATHS",
      "title": "Monthly Deaths in Germany",
      "object": "DEATHS",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
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      "title": "Monthly Total Production and Distribution of Electricity, Gas, Steam, and Air Conditioning for Germany",
      "object": "ENERGY",
      "class": [
        "ts"
      ],
      "fields": [
        "DEUPREND401IXOBM"
      ],
      "rows": 390,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Quarterly Personal Consumption Expenditures in the USA",
      "object": "EXPENDITURES",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "GDP",
      "title": "Quarterly US GDP",
      "object": "GDP",
      "class": [
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      ],
      "fields": [
        "NA000334Q"
      ],
      "rows": 292,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Monthly New One Family Houses Sold in the USA",
      "object": "HOUSES",
      "class": [
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      "fields": [
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      ],
      "rows": 252,
      "table": true,
      "tojson": true
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      "title": "Monthly Live Births in Germany",
      "object": "LIVEBIRTHS",
      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
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      "title": "Monthly Number of US Persons Not in the Labor Force",
      "object": "NOLABORFORCE",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
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      "object": "RAINFALL",
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      "table": false,
      "tojson": true
    },
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      ],
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      "table": true,
      "tojson": true
    },
    {
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      "object": "SAVINGS",
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      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
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      "fields": [],
      "table": false,
      "tojson": true
    },
    {
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      "title": "Monthly Average Temperature in Germany",
      "object": "TEMPERATURE",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "deseats-package",
      "title": "Deseasonalize Time Series",
      "topics": [
        "deseats-package"
      ]
    },
    {
      "page": "animate",
      "title": "Automatic Creation of Animations",
      "topics": [
        "animate"
      ]
    },
    {
      "page": "animate-deseats-method",
      "title": "Animate Locally Weighted Regression Results",
      "topics": [
        "animate,deseats-method"
      ]
    },
    {
      "page": "arma_to_ar",
      "title": "AR Representation of an ARMA Model",
      "topics": [
        "arma_to_ar"
      ]
    },
    {
      "page": "arma_to_ma",
      "title": "MA Representation of an ARMA Model",
      "topics": [
        "arma_to_ma"
      ]
    },
    {
      "page": "autoplot-decomp-method",
      "title": "Plot Method for Decomposition Results in the Style of ggplot2",
      "topics": [
        "autoplot,decomp-method"
      ]
    },
    {
      "page": "autoplot-deseats_fc-method",
      "title": "'ggplot2' Plot Method for Class '\"deseats_fc\"'",
      "topics": [
        "autoplot,deseats_fc-method"
      ]
    },
    {
      "page": "autoplot-hfilter-method",
      "title": "'ggplot2' Plot Method for the Results of a Hamilton Filter",
      "topics": [
        "autoplot,hfilter-method"
      ]
    },
    {
      "page": "BV4.1",
      "title": "Trend and Seasonality Estimation Using the Berlin Procedure 4.1",
      "topics": [
        "BV4.1"
      ]
    },
    {
      "page": "bwidth_confint",
      "title": "Bootstrapping Confidence Intervals for Locally Weighted Regression Bandwidths",
      "topics": [
        "bwidth_confint"
      ]
    },
    {
      "page": "bwidth-deseats-method",
      "title": "Retrieve the Used Bandwidth from an Estimation Object",
      "topics": [
        "bwidth,deseats-method",
        "bwidth,s_semiarma-method"
      ]
    },
    {
      "page": "CIVLABOR",
      "title": "Monthly Civilian Labor Force Level in the USA",
      "topics": [
        "CIVLABOR"
      ]
    },
    {
      "page": "CONSUMPTION",
      "title": "Quarterly Real Final Consumption Expenditure for Australia",
      "topics": [
        "CONSUMPTION"
      ]
    },
    {
      "page": "COVID",
      "title": "Daily Confirmed New COVID-19 Cases in Germany",
      "topics": [
        "COVID"
      ]
    },
    {
      "page": "create_gain",
      "title": "Create Gain Function from a Linear Time Series Filter",
      "topics": [
        "create_gain"
      ]
    },
    {
      "page": "create.gain",
      "title": "Create Gain Function from a Linear Time Series Filter",
      "topics": [
        "create.gain"
      ]
    },
    {
      "page": "DEATHS",
      "title": "Monthly Deaths in Germany",
      "topics": [
        "DEATHS"
      ]
    },
    {
      "page": "deseats",
      "title": "Locally Weighted Regression for Trend and Seasonality in Equidistant Time Series under Short Memory",
      "topics": [
        "deseats"
      ]
    },
    {
      "page": "ENERGY",
      "title": "Monthly Total Production and Distribution of Electricity, Gas, Steam, and Air Conditioning for Germany",
      "topics": [
        "ENERGY"
      ]
    },
    {
      "page": "EXPENDITURES",
      "title": "Quarterly Personal Consumption Expenditures in the USA",
      "topics": [
        "EXPENDITURES"
      ]
    },
    {
      "page": "expo",
      "title": "Automatic Creation of Animations",
      "topics": [
        "expo"
      ]
    },
    {
      "page": "expo-deseats_fc-method",
      "title": "Exponentiate 'deseats' Forecasts",
      "topics": [
        "expo,deseats_fc-method"
      ]
    },
    {
      "page": "fitted-hfilter-method",
      "title": "Fitted Components of the Hamilton Filter",
      "topics": [
        "fitted,hfilter-method",
        "residuals,hfilter-method"
      ]
    },
    {
      "page": "gain",
      "title": "Gain Function Generic",
      "topics": [
        "gain"
      ]
    },
    {
      "page": "gain-deseats-method",
      "title": "Obtain gain function values for DeSeaTS Trend and Detrend Filters",
      "topics": [
        "gain,deseats-method"
      ]
    },
    {
      "page": "GDP",
      "title": "Quarterly US GDP",
      "topics": [
        "GDP"
      ]
    },
    {
      "page": "hA_calc",
      "title": "Calculation of Theoretically Optimal Bandwidth and Its Components",
      "topics": [
        "hA_calc"
      ]
    },
    {
      "page": "hamilton_filter",
      "title": "Time Series Filtering Using the Hamilton Filter",
      "topics": [
        "hamilton_filter"
      ]
    },
    {
      "page": "HOUSES",
      "title": "Monthly New One Family Houses Sold in the USA",
      "topics": [
        "HOUSES"
      ]
    },
    {
      "page": "LIVEBIRTHS",
      "title": "Monthly Live Births in Germany",
      "topics": [
        "LIVEBIRTHS"
      ]
    },
    {
      "page": "llin_decomp",
      "title": "Decomposition of Time Series Using Local Linear Regression",
      "topics": [
        "llin_decomp"
      ]
    },
    {
      "page": "lm_decomp",
      "title": "Decomposition of Time Series Using Linear Regression",
      "topics": [
        "lm_decomp"
      ]
    },
    {
      "page": "ma_decomp",
      "title": "Decomposition of Time Series Using Moving Averages",
      "topics": [
        "ma_decomp"
      ]
    },
    {
      "page": "measures",
      "title": "Forecasting Accuracy Measure Calculation",
      "topics": [
        "measures"
      ]
    },
    {
      "page": "NOLABORFORCE",
      "title": "Monthly Number of US Persons Not in the Labor Force",
      "topics": [
        "NOLABORFORCE"
      ]
    },
    {
      "page": "order_poly",
      "title": "Smoothing Option Generics",
      "topics": [
        "boundary_method",
        "boundary_method<-",
        "bwidth",
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      "page": "RETAIL",
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      "page": "run_decomposition",
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      "page": "SAVINGS",
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