stlELM
Hybrid Forecasting Model Based on STL Decomposition and ELM
Univariate time series forecasting with STL decomposition based Extreme Learning Machine hybrid model. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | stlELM_0.1.1.tar.gz |
13.9 KiB |
0.1.1 |
rolling linux/noble R-4.5 | stlELM_0.1.1.tar.gz |
13.8 KiB |
0.1.1 |
rolling source/ R- | stlELM_0.1.1.tar.gz |
4.1 KiB |
0.1.1 |
latest linux/jammy R-4.5 | stlELM_0.1.1.tar.gz |
13.9 KiB |
0.1.1 |
latest linux/noble R-4.5 | stlELM_0.1.1.tar.gz |
13.8 KiB |
0.1.1 |
latest source/ R- | stlELM_0.1.1.tar.gz |
4.1 KiB |
0.1.1 |
2026-04-26 source/ R- | stlELM_0.1.1.tar.gz |
4.1 KiB |
0.1.1 |
2026-04-23 source/ R- | stlELM_0.1.1.tar.gz |
4.1 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | stlELM_0.1.1.zip |
17.3 KiB |
0.1.1 |
2025-04-20 source/ R- | stlELM_0.1.1.tar.gz |
4.1 KiB |