Man pages for seer
Feature-Based Forecast Model Selection
| accuracy_arima | Calculate accuracy measue based on ARIMA models |
| accuracy_ets | Forecast-accuracy calculation |
| accuracy_mstl | Calculate accuracy based on MSTL |
| accuracy_nn | Calculate accuracy measure calculated based on neural network... |
| accuracy_rw | Calculate accuracy measure based on random walk models |
| accuracy_rwd | Calculate accuracy measure based on random walk with drift |
| accuracy_snaive | Calculate accuracy measure based on snaive method |
| accuracy_stlar | Calculate accuracy measure based on STL-AR method |
| accuracy_tbats | Calculate accuracy measure based on TBATS |
| accuracy_theta | Calculate accuracy measure based on Theta method |
| accuracy_wn | Calculate accuracy measure based on white noise process |
| acf5 | Autocorrelation-based features |
| acf_seasonalDiff | Autocorrelation coefficients based on seasonally differenced... |
| build_rf | build random forest classifier |
| cal_features | Calculate features for new time series instances |
| cal_m4measures | Mean of MASE and sMAPE |
| cal_MASE | Mean Absolute Scaled Error(MASE) |
| cal_medianscaled | scale MASE and sMAPE by median |
| cal_sMAPE | symmetric Mean Absolute Pecentage Error(sMAPE) |
| cal_WA | Weighted Average |
| classify_labels | Classify labels according to the FFORMS famework |
| classlabel | identify the best forecasting method |
| combination_forecast_inside | This function is call to be inside fforms_combination |
| convert_msts | Convert multiple frequency time series into msts object |
| e_acf1 | Autocorrelation coefficient at lag 1 of the residuals |
| fcast_accuracy | calculate forecast accuracy from different forecasting... |
| fforms_combinationforecast | Combination forecast based on fforms |
| fforms_ensemble | Function to identify models to compute combination forecast... |
| holtWinter_parameters | Parameter estimates of Holt-Winters seasonal method |
| prepare_trainingset | preparation of training set |
| rf_forecast | function to calculate point forecast, 95% confidence... |
| sim_arimabased | Simulate time series based on ARIMA models |
| sim_etsbased | Simulate time series based on ETS models |
| sim_mstlbased | Simulate time series based on multiple seasonal decomposition |
| split_names | split the names of ARIMA and ETS models |
| stlar | STL-AR method |
| unitroot | Unit root test statistics |
