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.

http://cran.r-project.org/web/packages/DPM.GGM

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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