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sGMRFmix  

Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection
View on CRAN: Click here


Download and install sGMRFmix package within the R console
Install from CRAN:
install.packages("sGMRFmix")

Install from Github:
library("remotes")
install_github("cran/sGMRFmix")

Install by package version:
library("remotes")
install_version("sGMRFmix", "0.3.0")



Attach the package and use:
library("sGMRFmix")
Maintained by
Koji Makiyama
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-28
Latest Update: 2018-04-16
Description:
An implementation of sparse Gaussian Markov random field mixtures presented by Ide et al. (2016) . 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.
How to cite:
Koji Makiyama (2018). sGMRFmix: Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. R package version 0.3.0, https://cran.r-project.org/web/packages/sGMRFmix. Accessed 02 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 0.1.3 (2018-02-28 17:41), 0.2.0 (2018-03-18 17:06)
Other packages that cited sGMRFmix R package
View sGMRFmix citation profile
Other R packages that sGMRFmix depends, imports, suggests or enhances
Complete documentation for sGMRFmix
Functions, R codes and Examples using the sGMRFmix R package
Some associated functions: compute_anomaly_score . generate_test_data . generate_test_labels . generate_train_data . plot_multivariate_data . sGMRFmix . 
Some associated R codes: GMRFmix.R . compute_anomaly_score.R . generate_data.R . plot.R . print.R . sGMRFmix.R . sparseGaussMix.R . utils.R .  Full sGMRFmix package functions and examples
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