Implements a set of online fault detectors for time-series, called: PEWMA see M. Carter et al. (2012) <doi:10.1109/SSP.2012.6319708>, SD-EWMA and TSSD-EWMA see H. Raza et al. (2015) <doi:10.1016/j.patcog.2014.07.028>, KNN-CAD see E. Burnaev et al. (2016) <arXiv:1608.04585>, KNN-LDCD see V. Ishimtsev et al. (2017) <arXiv:1706.03412> and CAD-OSE see M. Smirnov (2018) <https://github.com/smirmik/CAD>. The first three algorithms belong to prediction-based techniques and the last three belong to window-based techniques. In addition, the SD-EWMA and PEWMA algorithms are algorithms designed to work in stationary environments, while the other four are algorithms designed to work in non-stationary environments.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | stats, ggplot2, plotly, sigmoid, reticulate |
| Suggests: | testthat, stream, knitr, rmarkdown |
| Published: | 2019-09-06 |
| Author: | Alaiñe Iturria [aut, cre], Jacinto Carrasco [aut], Francisco Herrera [aut], Santiago Charramendieta [aut], Karmele Intxausti [aut] |
| Maintainer: | Alaiñe Iturria <aiturria at ikerlan.es> |
| BugReports: | https://github.com/alaineiturria/otsad/issues |
| License: | AGPL (≥ 3) |
| URL: | https://github.com/alaineiturria/otsad |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 3.0.1); bencode-python3 (1.0.2) |
| Citation: | otsad citation info |
| Materials: | README NEWS |
| In views: | TimeSeries |
| CRAN checks: | otsad results |
| Reference manual: | otsad.pdf |
| Vignettes: |
The otsad Package: Online Time-Series Anomaly Detectors |
| Package source: | otsad_0.2.0.tar.gz |
| Windows binaries: | r-devel: otsad_0.2.0.zip, r-release: otsad_0.2.0.zip, r-oldrel: otsad_0.2.0.zip |
| macOS binaries: | r-release: otsad_0.2.0.tgz, r-oldrel: otsad_0.2.0.tgz |
| Old sources: | otsad archive |
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