otsad: Online Time Series Anomaly Detectors

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.

Package details

AuthorAlaiñe Iturria [aut, cre], Jacinto Carrasco [aut], Francisco Herrera [aut], Santiago Charramendieta [aut], Karmele Intxausti [aut]
MaintainerAlaiñe Iturria <aiturria@ikerlan.es>
LicenseAGPL (>= 3)
Version0.2.0
URL https://github.com/alaineiturria/otsad
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("otsad")

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otsad documentation built on Sept. 6, 2019, 5:02 p.m.