The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Please use the canonical form https://CRAN.R-project.org/package=AnomalyScore to link to this page.
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.
Health stats visible at Monitor.