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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 |
DOI: | 10.32614/CRAN.package.tsSelect |
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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