Time Series Prediction with Integrated Tuning
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Documentation for package ‘tspredit’ version 1.2.767
Help Pages
| adjust_ts_data | Adjust 'ts_data' |
| bioenergy | FAOSTAT Bioenergy Database |
| CATS | CATS Time Series Competition |
| climate | FAOSTAT Temperature Change on Land |
| do_fit | Fit Time Series Model |
| do_predict | Predict Time Series Model |
| emissions | FAOSTAT Emissions Totals |
| EUNITE.Loads | EUNITE Competition – Half-Hourly Electrical Loads |
| EUNITE.Reg | EUNITE Competition – Regressors for Load Forecasting |
| EUNITE.Temp | EUNITE Competition – Average Daily Temperatures |
| fertilizers | FAOSTAT Fertilizers by Nutrient |
| gdp | Gross Domestic Product and Agriculture Value Added |
| ipeadata.d | Ipea Daily Macroeconomic Dataset |
| ipeadata.m | Ipea Monthly Macroeconomic Dataset |
| loadfulldata | Load Full Dataset From Mini Data Object |
| m1 | M1 Competition Time Series |
| m3 | M3 Competition Time Series |
| m4 | M4 Competition Time Series |
| MSE.ts | MSE |
| NN3 | NN3 Time Series Competition - Dataset A |
| NN5 | NN5 Time Series Competition |
| pesticides | Pesticides Use Statistics |
| R2.ts | R2 |
| SantaFe.A | Santa Fe Time Series Competition - Series A |
| SantaFe.D | Santa Fe Time Series Competition - Series D |
| select_hyper.ts_tune | Select Optimal Hyperparameters for Time Series Models |
| sMAPE.ts | sMAPE |
| stocks | IBOVESPA's 50 Most Traded Stocks |
| tsd | Time series example dataset |
| ts_arima | ARIMA |
| ts_aug_awareness | Augmentation by Awareness |
| ts_aug_awaresmooth | Augmentation by Awareness Smooth |
| ts_aug_flip | Augmentation by Flip |
| ts_aug_jitter | Augmentation by Jitter |
| ts_aug_none | No Augmentation |
| ts_aug_shrink | Augmentation by Shrink |
| ts_aug_stretch | Augmentation by Stretch |
| ts_aug_wormhole | Augmentation by Wormhole |
| ts_data | ts_data |
| ts_elm | ELM |
| ts_fil_ema | Exponential Moving Average (EMA) |
| ts_fil_emd | EMD Filter |
| ts_fil_fft | FFT Filter |
| ts_fil_hp | Hodrick-Prescott Filter |
| ts_fil_kalman | Kalman Filter |
| ts_fil_lowess | LOWESS Smoothing |
| ts_fil_ma | Moving Average (MA) |
| ts_fil_none | No Filter |
| ts_fil_qes | Quadratic Exponential Smoothing |
| ts_fil_recursive | Recursive Filter |
| ts_fil_remd | Robust EMD Filter |
| ts_fil_seas_adj | Seasonal Adjustment |
| ts_fil_ses | Simple Exponential Smoothing |
| ts_fil_smooth | Time Series Smooth |
| ts_fil_spline | Smoothing Splines |
| ts_fil_wavelet | Wavelet Filter |
| ts_fil_winsor | Winsorization of Time Series |
| ts_head | Extract the First Observations from a 'ts_data' Object |
| ts_integtune | Time Series Integrated Tune |
| ts_knn | KNN Time Series Prediction |
| ts_mlp | MLP |
| ts_norm_an | Adaptive Normalization |
| ts_norm_diff | First Differences |
| ts_norm_ean | Adaptive Normalization with EMA |
| ts_norm_gminmax | Global Min–Max Normalization |
| ts_norm_none | No Normalization |
| ts_norm_swminmax | Sliding-Window Min–Max Normalization |
| ts_projection | Time Series Projection |
| ts_reg | TSReg |
| ts_regsw | TSRegSW |
| ts_rf | Random Forest |
| ts_sample | Time Series Sample |
| ts_svm | SVM |
| ts_tune | Time Series Tune |
| [.ts_data | Subset Extraction for Time Series Data |