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: 2026-10-16 07:08:56 UTC; root
Config/pak/sysreqs: libicu-dev libssl-dev
Repository: https://yeasinstat.r-universe.dev
Date/Publication: 2023-04-05 17:23:22 UTC
RemoteUrl: https://github.com/cran/WaveletETS
RemoteRef: HEAD
RemoteSha: fadc66fdd6f3b355cf0c13e6524eb550b8ba9bda