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The weighted ensemble method is a valuable approach for combining forecasts. This algorithm employs several optimization techniques to generate optimized weights. This package has been developed using algorithm of Armstrong (1989) <doi:10.1016/0024-6301(90)90317-W>.
| Version: | 0.1.0 |
| Imports: | stats, metaheuristicOpt |
| Published: | 2023-04-10 |
| DOI: | 10.32614/CRAN.package.WeightedEnsemble |
| Author: | Dr. Ranjit Kumar Paul [aut], Dr. Md Yeasin [aut, cre] |
| Maintainer: | Dr. Md Yeasin <yeasin.iasri at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | WeightedEnsemble results |
| Reference manual: | WeightedEnsemble.pdf |
| Package source: | WeightedEnsemble_0.1.0.tar.gz |
| Windows binaries: | r-devel: WeightedEnsemble_0.1.0.zip, r-release: WeightedEnsemble_0.1.0.zip, r-oldrel: WeightedEnsemble_0.1.0.zip |
| macOS binaries: | r-release (arm64): WeightedEnsemble_0.1.0.tgz, r-oldrel (arm64): WeightedEnsemble_0.1.0.tgz, r-release (x86_64): WeightedEnsemble_0.1.0.tgz, r-oldrel (x86_64): WeightedEnsemble_0.1.0.tgz |
| Reverse imports: | EEML, PWEV |
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These binaries (installable software) and packages are in development.
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