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    "add_input",
    "add_level",
    "add_methods",
    "add_train_method",
    "add_xreg",
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    "build_model",
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    "check_res",
    "create_model",
    "forecast_sim",
    "plot_error",
    "plot_forecast",
    "plot_grid",
    "plot_model",
    "remove_methods",
    "res_hist",
    "set_error",
    "test_forecast",
    "train_model",
    "ts_cor",
    "ts_decompose",
    "ts_grid",
    "ts_heatmap",
    "ts_info",
    "ts_lags",
    "ts_ma",
    "ts_plot",
    "ts_polar",
    "ts_quantile",
    "ts_reshape",
    "ts_seasonal",
    "ts_split",
    "ts_sum",
    "ts_surface",
    "ts_to_prophet",
    "xts_to_ts",
    "zoo_to_ts"
  ],
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      "title": "Coffee Prices: Robusta and Arabica",
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      "class": [
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        "ts",
        "matrix"
      ],
      "fields": [
        "Robusta",
        "Arabica"
      ],
      "rows": 701,
      "table": true,
      "tojson": true
    },
    {
      "name": "EURO_Brent",
      "title": "Crude Oil Prices: Brent - Europe",
      "object": "EURO_Brent",
      "class": [
        "zooreg",
        "zoo"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "Michigan_CS",
      "title": "University of Michigan Consumer Survey, Index of Consumer Sentiment",
      "object": "Michigan_CS",
      "class": [
        "xts",
        "zoo"
      ],
      "fields": {},
      "rows": 480,
      "table": true,
      "tojson": false
    },
    {
      "name": "US_indicators",
      "title": "US Key Indicators - data frame format",
      "object": "US_indicators",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Date",
        "Vehicle Sales",
        "Unemployment Rate"
      ],
      "rows": 528,
      "table": true,
      "tojson": true
    },
    {
      "name": "USgas",
      "title": "US monthly natural gas consumption",
      "object": "USgas",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "USUnRate",
      "title": "US Monthly Civilian Unemployment Rate",
      "object": "USUnRate",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "USVSales",
      "title": "US Monthly Total Vehicle Sales",
      "object": "USVSales",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "arima_diag",
      "title": "Diagnostic Plots for ARIMA Models",
      "topics": [
        "arima_diag"
      ]
    },
    {
      "page": "ccf_plot",
      "title": "Time Series Cross Correlation Lags Visualization",
      "topics": [
        "ccf_plot"
      ]
    },
    {
      "page": "check_res",
      "title": "Visualization of the Residuals of a Time Series Model",
      "topics": [
        "check_res"
      ]
    },
    {
      "page": "Coffee_Prices",
      "title": "Coffee Prices: Robusta and Arabica",
      "topics": [
        "Coffee_Prices"
      ]
    },
    {
      "page": "create_model",
      "title": "A Functional Approach for Building the 'train_model' Components",
      "topics": [
        "add_horizon",
        "add_input",
        "add_level",
        "add_methods",
        "add_train_method",
        "add_xreg",
        "build_model",
        "create_model",
        "remove_methods",
        "set_error"
      ]
    },
    {
      "page": "EURO_Brent",
      "title": "Crude Oil Prices: Brent - Europe",
      "topics": [
        "EURO_Brent"
      ]
    },
    {
      "page": "forecast_sim",
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      "topics": [
        "forecast_sim"
      ]
    },
    {
      "page": "Michigan_CS",
      "title": "University of Michigan Consumer Survey, Index of Consumer Sentiment",
      "topics": [
        "Michigan_CS"
      ]
    },
    {
      "page": "plot_error",
      "title": "Plot the Models Error Rates on the Testing Partitions",
      "topics": [
        "plot_error"
      ]
    },
    {
      "page": "plot_forecast",
      "title": "Plotting Forecast Object",
      "topics": [
        "plot_forecast"
      ]
    },
    {
      "page": "plot_grid",
      "title": "Visualizing Grid Search Results",
      "topics": [
        "plot_grid"
      ]
    },
    {
      "page": "plot_model",
      "title": "Plot the Models Performance on the Testing Partitions",
      "topics": [
        "plot_model"
      ]
    },
    {
      "page": "res_hist",
      "title": "Histogram Plot of the Residuals Values",
      "topics": [
        "res_hist"
      ]
    },
    {
      "page": "test_forecast",
      "title": "Visualize of the Fitted and the Forecasted vs the Actual Values",
      "topics": [
        "test_forecast"
      ]
    },
    {
      "page": "train_model",
      "title": "Train, Test, Evaluate, and Forecast Multiple Time Series Forecasting Models",
      "topics": [
        "train_model"
      ]
    },
    {
      "page": "ts_cor",
      "title": "An Interactive Visualization of the ACF and PACF Functions",
      "topics": [
        "ts_cor"
      ]
    },
    {
      "page": "ts_decompose",
      "title": "Visualization of the Decompose of a Time Series Object",
      "topics": [
        "ts_decompose"
      ]
    },
    {
      "page": "ts_grid",
      "title": "Tuning Time Series Forecasting Models Parameters with Grid Search",
      "topics": [
        "ts_grid"
      ]
    },
    {
      "page": "ts_heatmap",
      "title": "Heatmap Plot for Time Series",
      "topics": [
        "ts_heatmap"
      ]
    },
    {
      "page": "ts_info",
      "title": "Get the Time Series Information",
      "topics": [
        "ts_info"
      ]
    },
    {
      "page": "ts_lags",
      "title": "Time Series Lag Visualization",
      "topics": [
        "ts_lags"
      ]
    },
    {
      "page": "ts_ma",
      "title": "Moving Average Method for Time Series Data",
      "topics": [
        "ts_ma"
      ]
    },
    {
      "page": "ts_plot",
      "title": "Plotting Time Series Objects",
      "topics": [
        "ts_plot"
      ]
    },
    {
      "page": "ts_polar",
      "title": "Polor Plot for Time Series Object",
      "topics": [
        "ts_polar"
      ]
    },
    {
      "page": "ts_quantile",
      "title": "Quantile Plot for Time Series",
      "topics": [
        "ts_quantile"
      ]
    },
    {
      "page": "ts_reshape",
      "title": "Transform Time Series Object to Data Frame Format",
      "topics": [
        "ts_reshape"
      ]
    },
    {
      "page": "ts_seasonal",
      "title": "Seasonality Visualization of Time Series Object",
      "topics": [
        "ts_seasonal"
      ]
    },
    {
      "page": "ts_split",
      "title": "Split Time Series Object for Training and Testing Partitions",
      "topics": [
        "ts_split"
      ]
    },
    {
      "page": "ts_sum",
      "title": "Summation of Multiple Time Series Objects",
      "topics": [
        "ts_sum"
      ]
    },
    {
      "page": "ts_surface",
      "title": "3D Surface Plot for Time Series",
      "topics": [
        "ts_surface"
      ]
    },
    {
      "page": "ts_to_prophet",
      "title": "Transform Time Series Object to Prophet input",
      "topics": [
        "ts_to_prophet"
      ]
    },
    {
      "page": "US_indicators",
      "title": "US Key Indicators - data frame format",
      "topics": [
        "US_indicators"
      ]
    },
    {
      "page": "USgas",
      "title": "US monthly natural gas consumption",
      "topics": [
        "USgas"
      ]
    },
    {
      "page": "USUnRate",
      "title": "US Monthly Civilian Unemployment Rate",
      "topics": [
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      ]
    },
    {
      "page": "USVSales",
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      "topics": [
        "USVSales"
      ]
    },
    {
      "page": "xts_to_ts",
      "title": "Converting 'xts' object to 'ts' object",
      "topics": [
        "xts_to_ts"
      ]
    },
    {
      "page": "zoo_to_ts",
      "title": "Converting 'zoo' object to 'ts' object",
      "topics": [
        "zoo_to_ts"
      ]
    }
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      "filename": "Plotting_Time_Series.html",
      "title": "Plotting Time Series Data",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The ts_plot function",
        "Customization options",
        "Adding titles",
        "Adding slider",
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        "Plotting multiple time series object",
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