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
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-release (x86_64): EEMDSVR_0.1.0.tgz, r-oldrel: EEMDSVR_0.1.0.tgz

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