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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.3.1), stats, forecast, tseries, TSSVM |
| Published: | 2025-10-28 |
| DOI: | 10.32614/CRAN.package.THETASVM |
| Author: | Fasila K. P. [aut, ctb], Mrinmoy Ray [aut, cre], Rajeev Ranjan Kumar [aut, ctb], K. N. Singh [aut, ctb], Amrender Kumar [aut, ctb], Santosha Rathod [aut, ctb] |
| Maintainer: | Mrinmoy Ray <mrinmoy4848 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | THETASVM results |
| Reference manual: | THETASVM.html , THETASVM.pdf |
| Package source: | THETASVM_0.1.0.tar.gz |
| Windows binaries: | r-devel: THETASVM_0.1.0.zip, r-release: THETASVM_0.1.0.zip, r-oldrel: THETASVM_0.1.0.zip |
| macOS binaries: | r-release (arm64): THETASVM_0.1.0.tgz, r-oldrel (arm64): THETASVM_0.1.0.tgz, r-release (x86_64): THETASVM_0.1.0.tgz, r-oldrel (x86_64): THETASVM_0.1.0.tgz |
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