WaveletETS
Wavelet Based Error Trend Seasonality Model
ETS stands for Error, Trend, and Seasonality, and it is a popular time series forecasting method. Wavelet decomposition can be used for denoising, compression, and feature extraction of signals. By removing the high-frequency components, wavelet decomposition can remove noise from the data while preserving important features. A hybrid Wavelet ETS (Error Trend-Seasonality) model has been developed for time series forecasting using algorithm of Anjoy and Paul (2017) doi:10.1007/s00521-017-3289-9.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release04/05/2023
Team
Dr. Md Yeasin
Dr. Ranjit Kumar Paul
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- Imports6 packages