| add_horizon | A Functional Approach for Building the 'train_model' Components |
| add_input | A Functional Approach for Building the 'train_model' Components |
| add_level | A Functional Approach for Building the 'train_model' Components |
| add_methods | A Functional Approach for Building the 'train_model' Components |
| add_train_method | A Functional Approach for Building the 'train_model' Components |
| add_xreg | A Functional Approach for Building the 'train_model' Components |
| arima_diag | Diagnostic Plots for ARIMA Models |
| build_model | A Functional Approach for Building the 'train_model' Components |
| ccf_plot | Time Series Cross Correlation Lags Visualization |
| check_res | Visualization of the Residuals of a Time Series Model |
| Coffee_Prices | Coffee Prices: Robusta and Arabica |
| create_model | A Functional Approach for Building the 'train_model' Components |
| EURO_Brent | Crude Oil Prices: Brent - Europe |
| forecast_sim | Forecasting simulation |
| Michigan_CS | University of Michigan Consumer Survey, Index of Consumer Sentiment |
| plot_error | Plot the Models Error Rates on the Testing Partitions |
| plot_forecast | Plotting Forecast Object |
| plot_grid | Visualizing Grid Search Results |
| plot_model | Plot the Models Performance on the Testing Partitions |
| remove_methods | A Functional Approach for Building the 'train_model' Components |
| res_hist | Histogram Plot of the Residuals Values |
| set_error | A Functional Approach for Building the 'train_model' Components |
| test_forecast | Visualize of the Fitted and the Forecasted vs the Actual Values |
| train_model | Train, Test, Evaluate, and Forecast Multiple Time Series Forecasting Models |
| ts_cor | An Interactive Visualization of the ACF and PACF Functions |
| ts_decompose | Visualization of the Decompose of a Time Series Object |
| ts_grid | Tuning Time Series Forecasting Models Parameters with Grid Search |
| ts_heatmap | Heatmap Plot for Time Series |
| ts_info | Get the Time Series Information |
| ts_lags | Time Series Lag Visualization |
| ts_ma | Moving Average Method for Time Series Data |
| ts_plot | Plotting Time Series Objects |
| ts_polar | Polor Plot for Time Series Object |
| ts_quantile | Quantile Plot for Time Series |
| ts_reshape | Transform Time Series Object to Data Frame Format |
| ts_seasonal | Seasonality Visualization of Time Series Object |
| ts_split | Split Time Series Object for Training and Testing Partitions |
| ts_sum | Summation of Multiple Time Series Objects |
| ts_surface | 3D Surface Plot for Time Series |
| ts_to_prophet | Transform Time Series Object to Prophet input |
| USgas | US monthly natural gas consumption |
| USUnRate | US Monthly Civilian Unemployment Rate |
| USVSales | US Monthly Total Vehicle Sales |
| US_indicators | US Key Indicators - data frame format |
| xts_to_ts | Converting 'xts' object to 'ts' object |
| zoo_to_ts | Converting 'zoo' object to 'ts' object |