Time Series Representations

clipping | Creates bit-level (clipping representation) from a vector |

coef_comp | Functions for linear regression model coefficients extraction |

denorm_min_max | Min-Max denormalisation |

denorm_z | Z-score denormalisation |

elec_load | 2 weeks of electricity load data from 50 consumers. |

fast_stat | Fast statistic functions (helpers) |

mae | MAE |

mape | MAPE |

mase | MASE |

mdae | MdAE |

norm_min_max | Min-Max normalisation |

norm_min_max_list | Min-Max normalization list |

norm_z | Z-score normalisation |

norm_z_list | Z-score normalization list |

repr_dct | DCT representation |

repr_dft | DFT representation by FFT |

repr_dwt | DWT representation |

repr_exp | Exponential smoothing seasonal coefficients as representation |

repr_feaclip | FeaClip representation of time series |

repr_feacliptrend | FeaClipTrend representation of time series |

repr_featrend | FeaTrend representation of time series |

repr_gam | GAM regression coefficients as representation |

repr_lm | Regression coefficients from linear model as representation |

repr_matrix | Computation of matrix of representations from matrix of time... |

repr_paa | PAA - Piecewise Aggregate Approximation |

repr_pip | PIP representation |

repr_pla | PLA representation |

repr_sax | SAX - Symbolic Aggregate Approximation |

repr_seas_profile | Mean seasonal profile of time series |

repr_sma | Simple Moving Average representation |

repr_windowing | Windowing of time series |

rleC | RLE (Run Length Encoding) written in C++ |

rmse | RMSE |

smape | sMAPE |

trending | Creates bit-level (trending) representation from a vector |

TSrepr | TSrepr package |

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