Package: WaveletSVR
Type: Package
Title: Wavelet-SVR Hybrid Model for Time Series Forecasting
Version: 0.1.0
Authors@R: c(person("Ranjit Kumar", "Paul", role = c("aut","cre"), email = "ranjitstat@gmail.com"),
    person("Md", "Yeasin", role = "aut", email = "yeasin.iasri@gmail.com"))
Author: Ranjit Kumar Paul [aut, cre], Md Yeasin [aut]
Maintainer: Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: The main aim of this package is to combine the advantage
        of wavelet and support vector machine models for time series
        forecasting. This package also gives the accuracy measurements
        in terms of RMSE and MAPE. This package fits the hybrid Wavelet
        SVR model for time series forecasting The main aim of this
        package is to combine the advantage of wavelet and Support
        Vector Regression (SVR) models for time series forecasting.
        This package also gives the accuracy measurements in terms of
        Root Mean Square Error (RMSE) and Mean Absolute Prediction
        Error (MAPE). This package is based on the algorithm of
        Raimundo and Okamoto (2018) <DOI: 10.1109/INFOCT.2018.8356851>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
Imports: stats, wavelets, fracdiff, forecast, e1071, tsutils
NeedsCompilation: no
Packaged: 2026-10-16 06:58:43 UTC; root
Config/pak/sysreqs: cmake texlive libssl-dev
Repository: https://ranjitstat.r-universe.dev
Date/Publication: 2022-01-06 09:00:08 UTC
RemoteUrl: https://github.com/cran/WaveletSVR
RemoteRef: HEAD
RemoteSha: 6b93a74634a28569544e3ab9cfd55f0cc6c79705