Forecasting univariate time series with Variational Mode Decomposition (VMD) based time delay neural network models.For method details see Konstantin, D.and Dominique, Z. (2014). <doi:10.1109/TSP.2013.2288675>.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | forecast, nnfor, VMDecomp |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2022-08-08 |
| Author: | Kapil Choudhary [aut, cre], Girish Kumar Jha [aut, ths, ctb], Rajender Parsad [aut, ctb], Ronit Jaiswal [aut, ctb] |
| Maintainer: | Kapil Choudhary <kapiliasri at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | vmdTDNN results |
| Reference manual: | vmdTDNN.pdf |
| Package source: | vmdTDNN_0.1.1.tar.gz |
| Windows binaries: | r-devel: vmdTDNN_0.1.1.zip, r-release: vmdTDNN_0.1.1.zip, r-oldrel: vmdTDNN_0.1.1.zip |
| macOS binaries: | r-release (arm64): vmdTDNN_0.1.1.tgz, r-oldrel (arm64): vmdTDNN_0.1.1.tgz, r-release (x86_64): vmdTDNN_0.1.1.tgz, r-oldrel (x86_64): vmdTDNN_0.1.1.tgz |
| Old sources: | vmdTDNN archive |
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