pGMM-package: Estimating multiple Gaussian graphical models (GGM) in...

Description Details Author(s) References


This is an R and C code implementation of the New-SP and New-JGL method of Gao et al. (2016) ( to perform model-based clustering and multiple graph estimation.


Package: pGMGM
Type: Package
Version: 1.0
Date: 2016-06-22
License: GPL-2


Chen Gao, Yunzhang Zhu

Maintainer: Chen Gao <>


Gao, C., hu, Y., Shen, X., and Pan, W. (2016). Estimation of multiple networks in Gaussian mixture models, Electronic Journal of Statistics, 10(1), 1133–1154.
Zhu, Y., Shen, X., and Pan, W. (2014). Structural pursuit over multiple undirected graphs, Journal of the American Statistical Association, 109(508), 1683–1696.
Danaher, P., Wang, P., and Witten, D. M. (2014). The joint graphical lasso for inverse covariance estimation across multiple classes, Journal of the Royal Statistical Society, Series B, 76(2), 373–397.

pGMGM documentation built on May 2, 2019, 11:55 a.m.

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