EEMDlstm: EEMD Based LSTM Model for Time Series Forecasting
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 |
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 |
Documentation:
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