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Execution of various time series models and choosing the best one either by a specific error metric or by picking the best one by majority vote. The models are based on the "forecast" package, written by Prof. Rob Hyndman.
| Version: | 0.1.8 |
| Depends: | R (≥ 3.0.2) |
| Imports: | forecast |
| Published: | 2016-10-06 |
| Author: | Avi Blinder |
| Maintainer: | Avi Blinder <aviblinder at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | tsSelect results |
| Reference manual: | tsSelect.pdf |
| Package source: | tsSelect_0.1.8.tar.gz |
| Windows binaries: | r-devel: tsSelect_0.1.8.zip, r-release: tsSelect_0.1.8.zip, r-oldrel: tsSelect_0.1.8.zip |
| macOS binaries: | r-release (arm64): tsSelect_0.1.8.tgz, r-oldrel (arm64): tsSelect_0.1.8.tgz, r-release (x86_64): tsSelect_0.1.8.tgz, r-oldrel (x86_64): tsSelect_0.1.8.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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