EMDANNhybrid: Empirical Mode Decomposition Based Artificial Neural Network Model
Application of empirical mode decomposition based artificial neural network model for nonlinear and non stationary univariate time series forecasting. For method details see (i) Choudhury (2019) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=55&issue=1&article=013>; (ii) Das (2020) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=56&issue=2&article=002>.
| Version: | 0.2.0 |
| Depends: | EMD, forecast |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2023-09-14 |
| DOI: | 10.32614/CRAN.package.EMDANNhybrid |
| Author: | Pankaj Das  [aut,
cre],
Achal Lama [aut],
Girish Kumar Jha [aut] |
| Maintainer: | Pankaj Das <pankaj.das2 at icar.gov.in> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EMDANNhybrid results |
Documentation:
| Reference manual: | EMDANNhybrid.html , EMDANNhybrid.pdf |
| Vignettes: |
EMDANNhybrid (source, R code) |
Downloads:
| Package source: | EMDANNhybrid_0.2.0.tar.gz |
| Windows binaries: | r-devel: EMDANNhybrid_0.2.0.zip, r-release: EMDANNhybrid_0.2.0.zip, r-oldrel: EMDANNhybrid_0.2.0.zip |
| macOS binaries: | r-release (arm64): EMDANNhybrid_0.2.0.tgz, r-oldrel (arm64): EMDANNhybrid_0.2.0.tgz, r-release (x86_64): EMDANNhybrid_0.2.0.tgz, r-oldrel (x86_64): EMDANNhybrid_0.2.0.tgz |
| Old sources: | EMDANNhybrid archive |
Linking:
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