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mixggm (version 1.0)

mixggm-package: Mixtures of Gaussian graphical models

Description

Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices.

Arguments

Details

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 mixGGM, searchGGM and fitGGM.

References

Fop, M., Murphy, T.B., and Scrucca, L. (2018). Model-based clustering with sparse covariance matrices. Statistics and Computing. To appear.