The researchers can use this package to fit Empirical Mode Decomposition and Artificial Neural Network based hybrid model for nonlinear and non stationary time series data.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0), EMD, nnfor, forecast |
| Published: | 2021-01-14 |
| Author: | Pankaj Das [aut, cre], Achal Lama [aut], Girish Jha [aut] |
| Maintainer: | Pankaj Das <pankaj.das2 at icar.gov.in> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EMDANNhybrid results |
| Reference manual: | EMDANNhybrid.pdf |
| Package source: | EMDANNhybrid_0.1.0.tar.gz |
| Windows binaries: | r-devel: EMDANNhybrid_0.1.0.zip, r-release: EMDANNhybrid_0.1.0.zip, r-oldrel: EMDANNhybrid_0.1.0.zip |
| macOS binaries: | r-release: EMDANNhybrid_0.1.0.tgz, r-oldrel: EMDANNhybrid_0.1.0.tgz |
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