THETASVM
Time Series Forecasting using THETA-SVM Hybrid Model
Testing, Implementation, and Forecasting of the THETA-SVM hybrid model. The THETA-SVM hybrid model combines the distinct strengths of the THETA model and the Support Vector Machine (SVM) model for time series forecasting.For method details see Bhattacharyya et al. (2022) <doi:10.1007/s11071-021-07099-3>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | THETASVM_0.1.0.tar.gz |
15.1 KiB |
0.1.0 |
rolling linux/noble R-4.5 | THETASVM_0.1.0.tar.gz |
15.0 KiB |
0.1.0 |
rolling source/ R- | THETASVM_0.1.0.tar.gz |
3.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | THETASVM_0.1.0.tar.gz |
15.1 KiB |
0.1.0 |
latest linux/noble R-4.5 | THETASVM_0.1.0.tar.gz |
15.0 KiB |
0.1.0 |
latest source/ R- | THETASVM_0.1.0.tar.gz |
3.6 KiB |
0.1.0 |
2026-04-26 source/ R- | THETASVM_0.1.0.tar.gz |
3.6 KiB |
0.1.0 |
2026-04-23 source/ R- | THETASVM_0.1.0.tar.gz |
3.6 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | THETASVM_0.1.0.zip |
17.8 KiB |