EEMDelm
Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model
Forecasting univariate time series with different decomposition based Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>, Parida M, Behera MK, Nayak N (2018). <doi:10.1109/ICSESP.2018.8376723>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | EEMDelm_0.1.1.tar.gz |
27.6 KiB |
0.1.1 |
rolling linux/noble R-4.5 | EEMDelm_0.1.1.tar.gz |
27.5 KiB |
0.1.1 |
rolling source/ R- | EEMDelm_0.1.1.tar.gz |
6.2 KiB |
0.1.1 |
latest linux/jammy R-4.5 | EEMDelm_0.1.1.tar.gz |
27.6 KiB |
0.1.1 |
latest linux/noble R-4.5 | EEMDelm_0.1.1.tar.gz |
27.5 KiB |
0.1.1 |
latest source/ R- | EEMDelm_0.1.1.tar.gz |
6.2 KiB |
0.1.1 |
2026-04-26 source/ R- | EEMDelm_0.1.1.tar.gz |
6.2 KiB |
0.1.1 |
2026-04-23 source/ R- | EEMDelm_0.1.1.tar.gz |
6.2 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | EEMDelm_0.1.1.zip |
30.9 KiB |
0.1.1 |
2025-04-20 source/ R- | EEMDelm_0.1.1.tar.gz |
6.2 KiB |