CRAN/E | WaveletETS

WaveletETS

Wavelet Based Error Trend Seasonality Model

Installation

About

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.

Key Metrics

Version 0.1.0
Published 2023-04-05 379 days ago
Needs compilation? no
License GPL-3
CRAN checks WaveletETS results

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Maintainer

Maintainer

Dr. Md Yeasin

yeasin.iasri@gmail.com

Authors

Dr. Ranjit Kumar Paul

aut

Dr. Md Yeasin

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Imports

dplyr
Metrics
tseries
stats
wavelets
forecast
caretForecast