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Forecasting univariate time series with different decomposition based Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>, Parida M, Behera MK, Nayak N (2018). <doi:10.1109/ICSESP.2018.8376723>.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | forecast, nnfor, Rlibeemd |
| Published: | 2022-08-09 |
| DOI: | 10.32614/CRAN.package.EEMDelm |
| Author: | Girish Kumar Jha [aut, cre], Kapil Choudhary [aut, ctb], Rajeev Ranjan Kumar [ctb], Ronit Jaiswal [ctb] |
| Maintainer: | Girish Kumar Jha <girish.stat at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EEMDelm results |
| Reference manual: | EEMDelm.pdf |
| Package source: | EEMDelm_0.1.1.tar.gz |
| Windows binaries: | r-devel: EEMDelm_0.1.1.zip, r-release: EEMDelm_0.1.1.zip, r-oldrel: EEMDelm_0.1.1.zip |
| macOS binaries: | r-release (arm64): EEMDelm_0.1.1.tgz, r-oldrel (arm64): EEMDelm_0.1.1.tgz, r-release (x86_64): EEMDelm_0.1.1.tgz, r-oldrel (x86_64): EEMDelm_0.1.1.tgz |
| Old sources: | EEMDelm archive |
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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.