Forecasting univariate time series with ensemble empirical mode decomposition (EEMD) with long short-term memory (LSTM). For method details see Jaiswal, R. et al. (2022). <doi:10.1007/s00521-021-06621-3>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
keras, tensorflow, reticulate, tsutils, BiocGenerics, utils, graphics, magrittr, Rlibeemd, TSdeeplearning |
| Published: |
2022-09-26 |
| DOI: |
10.32614/CRAN.package.EEMDlstm |
| Author: |
Kapil Choudhary [aut, cre],
Girish Kumar Jha [aut, ths, ctb],
Ronit Jaiswal [ctb],
Rajeev Ranjan Kumar [ctb] |
| Maintainer: |
Kapil Choudhary <kapiliasri at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
EEMDlstm results [issues need fixing before 2025-11-09] |