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]

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✨
card.svg |card.png
sGMRFmix/json (API)
NEWS

# Install 'sGMRFmix' in R:

install.packages('sGMRFmix', repos = c('https://hoxo-m.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.34 score 1 stars 22 scripts 241 downloads 6 exports 33 dependencies

Last updated from:4bf36707cf. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	153
source / vignettes	OK	463
linux-release-x86_64	OK	153
macos-release-arm64	OK	121
macos-oldrel-arm64	OK	118
windows-devel	OK	121
windows-release	OK	139
windows-oldrel	OK	100
wasm-release	OK	111

Exports:compute_anomaly_score generate_test_data generate_test_labels generate_train_data plot_multivariate_data sGMRFmix

Dependencies:cli cpp11 dplyr farver generics ggplot2 glasso glue gtable isoband labeling lattice lifecycle magrittr mvtnorm pillar pkgconfig purrr R6 RColorBrewer rlang S7 scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr zoo

Sparse Gaussian MRF Mixtures for Anomaly Detection

Koji Makiyama (@hoxo_m)

Rendered fromsGMRFmix.Rmdusingknitr::rmarkdownon May 09 2026.

Last update: 2018-04-16
Started: 2018-02-28

Citation

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