combine_forecasts       Combine multiple horizon-specific forecast
                        models to produce one forecast
create_lagged_df        Create model training and forecasting datasets
                        with lagged, grouped, dynamic, and static
                        features
create_skeleton         Remove the features from a lagged training
                        dataset to reduce memory consumption
create_windows          Create time-contiguous validation datasets for
                        model evaluation
data_buoy               NOAA buoy weather data
data_buoy_gaps          NOAA buoy weather data
data_seatbelts          Road Casualties in Great Britain 1969-84
fill_gaps               Prepare a dataset for modeling by filling in
                        temporal gaps in data collection
plot.forecastML         Plot an object of class 'forecastML'
plot.forecast_error     Plot forecast error
plot.forecast_model_hyper
                        Plot hyperparameters
plot.forecast_results   Plot an object of class forecast_results
plot.lagged_df          Plot datasets with lagged features
plot.training_results   Plot an object of class training_results
plot.validation_error   Plot validation dataset forecast error
plot.windows            Plot validation datasets
predict.forecast_model
                        Predict on validation datasets or forecast
return_error            Compute forecast error
return_hyper            Return model hyperparameters across validation
                        datasets
summary.lagged_df       Return a summary of a lagged_df object
train_model             Train a model across horizons and validation
                        datasets
