Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices.
A package implementing mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices. Model fitting is carried out by means of a structural-EM algorithm for parameter estimation and graph structure search.
The main functions are
Michael Fop, Luca Scrucca and Thomas Brendan Murphy.
Maintainer: Michael Fop [email protected]
Fop, M., Murphy, T.B., and Scrucca, L. (2018). Model-based clustering with sparse covariance matrices. Statistics and Computing. To appear.
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