Package: WaveletETS
Type: Package
Title: Wavelet Based Error Trend Seasonality Model
Version: 0.1.0
Authors@R: c(person(" Dr. Ranjit Kumar", "Paul", role = "aut", email = "ranjitstat@gmail.com"),
    person("Dr. Md", "Yeasin", role = c("aut","cre"), email = "yeasin.iasri@gmail.com"))
Author: Dr. Ranjit Kumar Paul [aut],
  Dr. Md Yeasin [aut, cre]
Maintainer: Dr. Md Yeasin <yeasin.iasri@gmail.com>
Description: 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>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, Metrics, tseries, stats, wavelets, forecast,
        caretForecast
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2023-04-05 11:02:48 UTC; YEASIN
Repository: CRAN
Date/Publication: 2023-04-05 18:23:22 UTC
Built: R 4.6.0; ; 2026-04-26 02:46:25 UTC; unix
