pGMGM: Estimating Multiple Gaussian Graphical Models (GGM) in Penalized Gaussian Mixture Models (GMM)

This is an R and C code implementation of the New-SP and New-JGL method of Gao et al. (2016) <DOI:10.1214/16-EJS1135> to perform model-based clustering and multiple graph estimation.

AuthorChen Gao, Yunzhang Zhu
Date of publication2016-06-28 23:33:21
MaintainerChen Gao <gaoxx492@umn.edu>
LicenseGPL-2
Version1.0

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Files in this package

pGMGM
pGMGM/configure.in
pGMGM/src
pGMGM/src/lapack.h
pGMGM/src/Makevars
pGMGM/src/def.c
pGMGM/src/main.cpp
pGMGM/src/dmatrix.h
pGMGM/src/blas.h
pGMGM/src/def.h
pGMGM/src/dmatrix.c
pGMGM/NAMESPACE
pGMGM/data
pGMGM/data/jglfit.RData
pGMGM/R
pGMGM/R/fmvnorm.R pGMGM/R/emcljgl.R pGMGM/R/emcv.R pGMGM/R/emjglcov.R pGMGM/R/pGMM.R pGMGM/R/pGMM-internal.R pGMGM/R/emnccov.R pGMGM/R/MGGM.path.R pGMGM/R/obj_L0.R pGMGM/R/obj_L12.R pGMGM/R/emcl.R
pGMGM/MD5
pGMGM/DESCRIPTION
pGMGM/man
pGMGM/man/jglfit.Rd pGMGM/man/pGMM.Rd pGMGM/man/pGMM-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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