Package: sGMRFmix 0.3.0

sGMRFmix: Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection

An implementation of sparse Gaussian Markov random field mixtures presented by Ide et al. (2016) <doi:10.1109/ICDM.2016.0119>. It provides a novel anomaly detection method for multivariate noisy sensor data. It can automatically handle multiple operational modes. And it can also compute variable-wise anomaly scores.

Authors:Koji Makiyama [cre, aut]

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6 exports 1 stars 0.09 score 39 dependencies 22 scripts 148 downloads

Last updated 6 years agofrom:4bf36707cf. Checks:OK: 7. Indexed: yes.

Exports:compute_anomaly_scoregenerate_test_datagenerate_test_labelsgenerate_train_dataplot_multivariate_datasGMRFmix

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2glassogluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo