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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).<http://krishi.icar.gov.in/jspui/handle/123456789/44138>.

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 icar.gov.in>
License: GPL-3
NeedsCompilation: no
CRAN checks: EEMDSVR results

Documentation:

Reference manual: EEMDSVR.pdf

Downloads:

Package source: EEMDSVR_0.1.0.tar.gz
Windows binaries: r-devel: EEMDSVR_0.1.0.zip, r-release: EEMDSVR_0.1.0.zip, r-oldrel: EEMDSVR_0.1.0.zip
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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.