Package: glassomix
Type: Package
Title: High dimensional Mixture Graph Models selection
Version: 1.2
Date: 2013-11-05
Author: Anani Lotsi and Ernst Wit
Maintainer: Anani Lotsi <a.lotsi@rug.nl>
Depends: R (>= 3.0.0), mvtnorm, glasso, huge
Description: The  package glassomix provides a general
	framework  for network recovering through 
	a model-based soft clustering. It provides 
	functions for parameter estimation via the 
	EM algorithm for Gaussian graphical mixture
	 models in high dimensional setting. The main 
	function is ``glasso.mix'' upon which a model 
	selection is performed. The package estimates 
	the optimum number of mixture components, K 
	and the tuning parameter, lambda, based on 
	the Extended Bayesian Information Criteria 
	(EBIC) via ``select.gm'' function. 
	The graphical structural of the K-networks 
	are also plotted through the function ``gm.plot'' 
License: GPL (>= 3)
URL: http://www.math.rug.nl/stat/Main/Research
Packaged: 2013-11-05 16:27:15 UTC; P260008
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-05 18:02:25
