MultivariatE Time sEries OutlieR (METEOR) is a R and Java implementation of a complete multivariate time series (MTS) outlier detection system covering problems from pre-processing to post-score analysis. It adopts dynamic Bayesian network (DBN) modeling with the conjunction of a sliding window approach to uncover observations suspected of not have been generated by data’s underlying processes.
The web application can be accessed here: https://meteor.jorgeserras.com/ (old link is now redirecting here)
To employ METEOR without Shiny graphical interface, please check the given repository: https://github.com/jorgeserras/MTS_OutlierDetection_R
Visit the Github page for more information: https://github.com/jorgeserras/MTS_OutlierDetection/blob/gh-pages/index.md
Licensed under the GPL-3.0 License.