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Forecasting univariate time series with different decomposition based time delay neural network models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | forecast, Rlibeemd |
| Published: | 2021-01-19 |
| DOI: | 10.32614/CRAN.package.eemdTDNN |
| Author: | Kapil Choudhary [aut, cre], Girish Kumar Jha [aut, ths, ctb], Rajeev Ranjan Kumar [aut, ctb], Ronit Jaiswal [ctb] |
| Maintainer: | Kapil Choudhary <choudharykapil832 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | Agriculture |
| CRAN checks: | eemdTDNN results |
| Reference manual: | eemdTDNN.pdf |
| Package source: | eemdTDNN_0.1.0.tar.gz |
| Windows binaries: | r-devel: eemdTDNN_0.1.0.zip, r-release: eemdTDNN_0.1.0.zip, r-oldrel: eemdTDNN_0.1.0.zip |
| macOS binaries: | r-release (arm64): eemdTDNN_0.1.0.tgz, r-oldrel (arm64): eemdTDNN_0.1.0.tgz, r-release (x86_64): eemdTDNN_0.1.0.tgz, r-oldrel (x86_64): eemdTDNN_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.