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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | sGMRFmix_0.3.0.tar.gz |
1.3 MiB |
0.3.0 |
rolling linux/noble R-4.5 | sGMRFmix_0.3.0.tar.gz |
1.3 MiB |
0.3.0 |
rolling source/ R- | sGMRFmix_0.3.0.tar.gz |
1.2 MiB |
0.3.0 |
latest linux/jammy R-4.5 | sGMRFmix_0.3.0.tar.gz |
1.3 MiB |
0.3.0 |
latest linux/noble R-4.5 | sGMRFmix_0.3.0.tar.gz |
1.3 MiB |
0.3.0 |
latest source/ R- | sGMRFmix_0.3.0.tar.gz |
1.2 MiB |
0.3.0 |
2026-04-26 source/ R- | sGMRFmix_0.3.0.tar.gz |
1.2 MiB |
0.3.0 |
2026-04-23 source/ R- | sGMRFmix_0.3.0.tar.gz |
1.2 MiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | sGMRFmix_0.3.0.zip |
1.3 MiB |
0.3.0 |
2025-04-20 source/ R- | sGMRFmix_0.3.0.tar.gz |
1.2 MiB |