EEMDSVR: Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model

Application of Ensemble Empirical Mode Decomposition and its variant based Support Vector regression model for univariate time series forecasting. For method details see Das (2020).<>.

Version: 0.1.0
Imports: Rlibeemd, e1071
Published: 2021-09-20
DOI: 10.32614/CRAN.package.EEMDSVR
Author: Pankaj Das [aut, cre], Kapil Choudhary [aut], Girish Kumar Jha [aut], Achal Lama [aut]
Maintainer: Pankaj Das <pankaj.das2 at>
License: GPL-3
NeedsCompilation: no
CRAN checks: EEMDSVR results


Reference manual: EEMDSVR.pdf


Package source: EEMDSVR_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): EEMDSVR_0.1.0.tgz, r-oldrel (arm64): EEMDSVR_0.1.0.tgz, r-release (x86_64): EEMDSVR_0.1.0.tgz, r-oldrel (x86_64): EEMDSVR_0.1.0.tgz


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