mixggm: Mixtures of Gaussian Graphical Models

Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices. See Fop, Murphy, and Scrucca (2018) <doi:10.1007/s11222-018-9838-y>.

Version: 1.0
Depends: R (≥ 3.3)
Imports: foreach, GA (≥ 3.1), mclust (≥ 5.4), memoise, network, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2018-11-14
Author: Michael Fop ORCID iD [aut, cre], Luca Scrucca ORCID iD [ctb], Thomas Brendan Murphy ORCID iD [ctb]
Maintainer: Michael Fop <michael.fop at ucd.ie>
BugReports: https://github.com/michaelfop/mixggm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/michaelfop/mixggm
NeedsCompilation: yes
Citation: mixggm citation info
Materials: NEWS
CRAN checks: mixggm results

Downloads:

Reference manual: mixggm.pdf
Package source: mixggm_1.0.tar.gz
Windows binaries: r-devel: mixggm_1.0.zip, r-devel-gcc8: mixggm_1.0.zip, r-release: mixggm_1.0.zip, r-oldrel: mixggm_1.0.zip
OS X binaries: r-release: mixggm_1.0.tgz, r-oldrel: mixggm_1.0.tgz

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