Man pages for DescartesResearch/telescope
Hybrid Multi-Step-Ahead Forecasting
| buildMetaLevelDataset | Builds the meta-level data set |
| calcFrequencyPeriodogram | Calcuates the Frequency of the Time Series |
| calculateAccuracies | Calculates the forecasting error of each method. |
| calculateCharacteristics | Calculates time series characteristics. |
| consultrecommender | Retrieves the best method for a given time series. |
| cubistprediction | Trains a cubist model. |
| doArima | Apply Arima |
| doXGB.train | XGBoost Model Training |
| durbinwatson | Checks the auto-correlation of the fitted errors. |
| evtreeprediction | Trains a evtree model. |
| extract.ts | Extract time series information |
| fitSin | Fitting a sinus. |
| fittingModels | Fitting the Model of the Trend |
| forecast.season | Forecasting Season |
| forecast.trend | Forecasting Trend |
| guessFrequencyPeriodogram | Guess the Frequency of the Time Series |
| has.highRemainder | Checking Remainder |
| mape | Calculates forecasting error. |
| nnetarprediction | Trains a nnetar model. |
| plotting | Plots the forecast |
| preprocessing | Perform the Forecast |
| randomforestprediction | Trains a random forest model. |
| removeAnomalies | Remove the Anomalies |
| rpartprediction | Trains a rpart model. |
| save.csv | Save as CSV |
| svrprediction | Trains a svr model. |
| telescope.forecast | Perform the Forecast |
| telescope.trainrecommender | Trains the recommendation system |
| trainingrecommender | Trains the recommendation system. |
| xgboostprediction | Trains a xgboost model. |
