Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection R package sGMRFmix version 0.3.0 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) 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. Software Imports: ggplot2, glasso, mvtnorm, stats, tidyr, utils, zoo Suggests: dplyr, ModelMetrics, testthat, covr, knitr, rmarkdown Koji Makiyama <hoxo.smile@gmail.com> Comprehensive R Archive Network (CRAN) Koji Makiyama [cre, aut] MIT + file LICENSE (https://CRAN.R-project.org/package=sGMRFmix/LICENSE) 2018-04-16 application/tgz https://CRAN.R-project.org/package=sGMRFmix doi:10.32614/CRAN.package.sGMRFmix