1 Overview | 2 Installation | 3 Details | 3.1 Basics | 3.2 Data | 3.3 Fitting Model | 3.4 Tuning Hyperparameter rho | 3.5 Anomaly Detection | 3.6 Moving Average of Anomaly Scores | 3.7 Structure of Operational Modes | Reference
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:
sGMRFmix_0.3.0.tar.gz
sGMRFmix_0.3.0.zip(r-4.7)sGMRFmix_0.3.0.zip(r-4.6)sGMRFmix_0.3.0.zip(r-4.5)
sGMRFmix_0.3.0.tgz(r-4.6-any)sGMRFmix_0.3.0.tgz(r-4.5-any)
sGMRFmix_0.3.0.tar.gz(r-4.7-any)sGMRFmix_0.3.0.tar.gz(r-4.6-any)
sGMRFmix_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sGMRFmix/json (API)
| # Install 'sGMRFmix' in R: |
| install.packages('sGMRFmix', repos = c('https://hoxo-m.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4bf36707cf. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 151 | ||
| source / vignettes | OK | 412 | ||
| linux-release-x86_64 | OK | 148 | ||
| macos-release-arm64 | OK | 126 | ||
| macos-oldrel-arm64 | OK | 124 | ||
| windows-devel | OK | 125 | ||
| windows-release | OK | 123 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 116 |
Exports:compute_anomaly_scoregenerate_test_datagenerate_test_labelsgenerate_train_dataplot_multivariate_datasGMRFmix
Dependencies:clicpp11dplyrfarvergenericsggplot2glassogluegtableisobandlabelinglatticelifecyclemagrittrmvtnormpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute anomaly scores | compute_anomaly_score |
| Generate test data | generate_test_data |
| Generate test labels | generate_test_labels |
| Generate train data | generate_train_data |
| Plot multivariate data | plot_multivariate_data |
| Sparse Gaussian Markov Random Field Mixtures | sGMRFmix |
