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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | EEMDlstm_1.0.1.tar.gz |
5.9 KiB |
1.0.1 |
rolling linux/noble R-4.5 | EEMDlstm_1.0.1.tar.gz |
5.9 KiB |
1.0.1 |
rolling source/ R- | EEMDlstm_1.0.1.tar.gz |
5.9 KiB |
1.0.1 |
latest linux/jammy R-4.5 | EEMDlstm_1.0.1.tar.gz |
5.9 KiB |
1.0.1 |
latest linux/noble R-4.5 | EEMDlstm_1.0.1.tar.gz |
5.9 KiB |
1.0.1 |
latest source/ R- | EEMDlstm_1.0.1.tar.gz |
5.9 KiB |
1.0.1 |
2026-04-26 source/ R- | EEMDlstm_1.0.1.tar.gz |
5.9 KiB |
1.0.1 |
2026-04-23 source/ R- | EEMDlstm_1.0.1.tar.gz |
5.9 KiB |
0.1.0 |
2025-04-20 source/ R- | EEMDlstm_0.1.0.tar.gz |
5.9 KiB |