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Implements automatic autoregressive integrated moving average order selection using the Spider Monkey Optimization algorithm. Candidate orders are evaluated using a weighted objective function that combines the Akaike information criterion and root mean square error. Functions support model fitting, forecasting, and forecast accuracy evaluation.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | forecast, stats |
| Published: | 2026-08-07 |
| DOI: | 10.32614/CRAN.package.SMOARIMA |
| Author: | Santosha Rathod [aut], Mrinmoy Ray [aut, cre], Chiranjit Mazumder [aut], Vishnu Shankar [aut], Fasila K. P. [aut], Sujith Arokiaswamy B. [aut], Anil Kumar [aut] |
| Maintainer: | Mrinmoy Ray <mrinmoy4848 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | SMOARIMA results |
| Reference manual: | SMOARIMA.html , SMOARIMA.pdf |
| Package source: | SMOARIMA_0.1.1.tar.gz |
| Windows binaries: | r-devel: SMOARIMA_0.1.1.zip, r-release: SMOARIMA_0.1.1.zip, r-oldrel: SMOARIMA_0.1.1.zip |
| macOS binaries: | r-release (arm64): SMOARIMA_0.1.1.tgz, r-oldrel (arm64): SMOARIMA_0.1.1.tgz, r-release (x86_64): SMOARIMA_0.1.1.tgz, r-oldrel (x86_64): SMOARIMA_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
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