stlARIMA
STL Decomposition and ARIMA Hybrid Forecasting Model
Univariate time series forecasting with STL decomposition based auto regressive integrated moving average (ARIMA) 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 |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | stlARIMA_0.1.0.tar.gz |
13.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | stlARIMA_0.1.0.tar.gz |
13.6 KiB |
0.1.0 |
rolling source/ R- | stlARIMA_0.1.0.tar.gz |
3.9 KiB |
0.1.0 |
latest linux/jammy R-4.5 | stlARIMA_0.1.0.tar.gz |
13.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | stlARIMA_0.1.0.tar.gz |
13.6 KiB |
0.1.0 |
latest source/ R- | stlARIMA_0.1.0.tar.gz |
3.9 KiB |
0.1.0 |
2026-04-26 source/ R- | stlARIMA_0.1.0.tar.gz |
3.9 KiB |
0.1.0 |
2026-04-23 source/ R- | stlARIMA_0.1.0.tar.gz |
3.9 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | stlARIMA_0.1.0.zip |
17.3 KiB |
0.1.0 |
2025-04-20 source/ R- | stlARIMA_0.1.0.tar.gz |
3.9 KiB |