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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 + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | VMDML results |
| Reference manual: | VMDML.pdf |
| Vignettes: |
VMDML |
| Package source: | VMDML_0.1.1.tar.gz |
| Windows binaries: | r-devel: VMDML_0.1.1.zip, r-release: VMDML_0.1.1.zip, r-oldrel: VMDML_0.1.1.zip |
| macOS binaries: | r-release (arm64): VMDML_0.1.1.tgz, r-oldrel (arm64): VMDML_0.1.1.tgz, r-release (x86_64): VMDML_0.1.1.tgz, r-oldrel (x86_64): VMDML_0.1.1.tgz |
| Old sources: | VMDML archive |
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These binaries (installable software) and packages are in development.
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