VMDML: Variational Mode Decomposition Based Machine Learning Models

Application of Variational Mode Decomposition based different Machine Learning models for univariate time series forecasting. For method details see (i) K. Dragomiretskiy and D. Zosso (2014) <doi:10.1109/TSP.2013.2288675>; (ii) Pankaj Das (2020) <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.

Version: 0.1.0
Imports: VMDecomp, forecast, e1071, randomForest
Published: 2022-08-09
Author: Pankaj Das [aut, cre], Girish Kumar Jha [aut], Tauqueer Ahmad [aut], Achal Lama [aut], Lampros Mouselimis [cph]
Maintainer: Pankaj Das <pankaj.das2 at icar.gov.in>
License: GPL-3
NeedsCompilation: no
CRAN checks: VMDML results


Reference manual: VMDML.pdf


Package source: VMDML_0.1.0.tar.gz
Windows binaries: r-devel: VMDML_0.1.0.zip, r-release: VMDML_0.1.0.zip, r-oldrel: VMDML_0.1.0.zip
macOS binaries: r-release (arm64): VMDML_0.1.0.tgz, r-oldrel (arm64): VMDML_0.1.0.tgz, r-release (x86_64): VMDML_0.1.0.tgz, r-oldrel (x86_64): VMDML_0.1.0.tgz


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