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
LazyData: true
RoxygenNote: 6.0.1
Imports: ggplot2, glasso, mvtnorm, stats, tidyr, utils, zoo
Suggests: dplyr, ModelMetrics, testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-16 09:00:00 UTC; kmakiyam
Author: Koji Makiyama [cre, aut]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-16 09:27:39 UTC
Built: R 4.2.0; ; 2022-03-22 23:20:24 UTC; unix
