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sGMRFmix
View on CRAN: Click
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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]
[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 09 Jun. 2026.
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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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