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: | 0.1.1 |
| Imports: | VMDecomp,forecast,e1071,randomForest,nnfor |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2023-08-27 |
| DOI: | 10.32614/CRAN.package.VMDML |
| 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: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| CRAN checks: | VMDML results |
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