Package: sGMRFmix
Type: Package
Title: Sparse Gaussian Markov Random Field Mixtures for Anomaly
        Detection
Version: 0.3.0
Authors@R: person("Koji", "Makiyama", email = "hoxo.smile@gmail.com", role = c("cre", "aut"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 6.0.1
Imports: ggplot2, glasso, mvtnorm, stats, tidyr, utils, zoo
Suggests: dplyr, ModelMetrics, testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-08 08:41:19 UTC; root
Author: Koji Makiyama [cre, aut]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Config/pak/sysreqs: libicu-dev
Repository: https://hoxo-m.r-universe.dev
Date/Publication: 2018-04-16 08:27:39 UTC
RemoteUrl: https://github.com/cran/sGMRFmix
RemoteRef: HEAD
RemoteSha: 4bf36707cf3e0a96c752f85c1ef2d98a632d9224