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| TSPred-package | Functions for Benchmarking Time Series Prediction |
| arimainterp | Interpolation of unknown values using automatic ARIMA fitting and prediction |
| arimapar | Get ARIMA model parameters. |
| arimaparameters | Get ARIMA model parameters |
| arimapred | Automatic ARIMA fitting and prediction |
| BCT | Box Cox Transformation |
| BCT.rev | Box Cox Transformation |
| CATS | Time series of the CATS Competition |
| CATS.cont | Continuation dataset of the time series of the CATS Competition |
| detrend | Detrending Transformation |
| detrend.rev | Detrending Transformation |
| DIF | Differencing Transformation |
| DIF.rev | Differencing Transformation |
| EUNITE.Loads | Electrical loads of the EUNITE Competition |
| EUNITE.Loads.cont | Continuation dataset of the electrical loads of the EUNITE Competition |
| EUNITE.Reg | Electrical loads regressors of the EUNITE Competition |
| EUNITE.Reg.cont | Continuation dataset of the electrical loads regressors of the EUNITE Competition |
| EUNITE.Temp | Temperatures of the EUNITE Competition |
| EUNITE.Temp.cont | Continuation dataset of the temperatures of the EUNITE Competition |
| fittestArima | Automatic ARIMA fitting, prediction and accuracy evaluation |
| fittestArimaKF | Automatic ARIMA fitting and prediction with Kalman filter |
| fittestEMD | Automatic prediction with empirical mode decomposition |
| fittestLM | Automatically finding fittest linear model for prediction |
| fittestMAS | Automatic prediction with moving average smoothing |
| fittestPolyR | Automatic fitting and prediction of polynomial regression |
| fittestPolyRKF | Automatic fitting and prediction of polynomial regression with Kalman filter |
| fittestWavelet | Automatic prediction with wavelet transform |
| ipeadata_d | The Ipea Most Requested Dataset (daily) |
| ipeadata_d.cont | The Ipea Most Requested Dataset (daily) |
| ipeadata_m | The Ipea Most Requested Dataset (monthly) |
| ipeadata_m.cont | The Ipea Most Requested Dataset (monthly) |
| LT | Logarithmic Transformation |
| LT.rev | Logarithmic Transformation |
| LT10 | Logarithmic Transformation |
| LT10.rev | Logarithmic Transformation |
| MAPE | MAPE error of prediction |
| marimapar | Get parameters of multiple ARIMA models. |
| marimapred | Multiple time series automatic ARIMA fitting and prediction |
| MAS | Moving average smoothing |
| MAS.rev | Moving average smoothing |
| MAXError | Maximal error of prediction |
| MSE | MSE error of prediction |
| NMSE | NMSE error of prediction |
| NN3.A | Dataset A of the NN3 Competition |
| NN3.A.cont | Continuation dataset of the Dataset A of the NN3 Competition |
| NN5.A | Dataset A of the NN5 Competition |
| NN5.A.cont | Continuation dataset of the Dataset A of the NN5 Competition |
| PCT | Percentage Change Transformation |
| PCT.rev | Percentage Change Transformation |
| plotarimapred | Plot ARIMA predictions against actual values |
| SantaFe.A | Time series A of the Santa Fe Time Series Competition |
| SantaFe.A.cont | Continuation dataset of the time series A of the Santa Fe Time Series Competition |
| SantaFe.D | Time series D of the Santa Fe Time Series Competition |
| SantaFe.D.cont | Continuation dataset of the time series D of the Santa Fe Time Series Competition |
| slidingWindows | Generating sliding windows of data |
| sMAPE | sMAPE error of prediction |
| TSPred | Functions for Benchmarking Time Series Prediction |
| TSPred-deprecated | Deprecated Functions in Package TSPred |