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Compute an anomaly score for multivariate time series based on the k-nearest neighbors algorithm. Different computations of distances between time series are provided.
Version: | 0.1 |
Imports: | dtw, class, astsa, transport, marima, TSA, RANN, MASS, mvLSW, stats |
Published: | 2024-11-21 |
DOI: | 10.32614/CRAN.package.AnomalyScore |
Author: | Guillermo Granados [aut, cre] |
Maintainer: | Guillermo Granados <guillermo.granadosgarcia at outlook.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | AnomalyScore results |
Reference manual: | AnomalyScore.pdf |
Package source: | AnomalyScore_0.1.tar.gz |
Windows binaries: | r-devel: AnomalyScore_0.1.zip, r-release: AnomalyScore_0.1.zip, r-oldrel: AnomalyScore_0.1.zip |
macOS binaries: | r-release (arm64): AnomalyScore_0.1.tgz, r-oldrel (arm64): AnomalyScore_0.1.tgz, r-release (x86_64): AnomalyScore_0.1.tgz, r-oldrel (x86_64): AnomalyScore_0.1.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.