Class BenchmarkModel
mean_model the attribute for holding a MeanModel objects (default NA)
drift_model the attribute for holding a list of DriftModel objects (default NA)
naive_model the attribute for holding a list of NaiveModel objects (default NA)
snaive_model the attribute for holding a list of SeasonalNaiveModel objects (default NA)
buildModel() builds mean, drift, naive and seasonal naive models, measures the forecast accuracy and selects the best model that has the biggest number of the lowest MAE, RMSE, MASE and MAPE scores;
useModel(fcast_period) uses the selected best model type to generate forecasts fcast_period-steps ahead into the future
getMeanModel() returns private attribute mean_model
getDriftModel() returns private attribute drift_model
getNaiveModel() returns private attribute naive_model
getSNaiveModel() returns private attribute snaive_model