DPM.GGM (0.14)

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Dirichlet Process Mixtures (DPM) and related models using Gaussian Graphical Models (GGM) for Sparse covariance estimation in heterogeneous samples.


This package provides functions to estimate sparse covariance in heterogenous samples using Dirichlet Process Mixtures (DPMs) with Gaussian Graphical Model (GGM) kernel distributions.

Maintainer: Alex Lenkoski
Author(s): Alex Lenkoski, Andreas Neudecker

License: GPL (>= 2)

Uses: lattice

Released about 8 years ago.

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