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.

Install the latest version of this package by entering the following in R:
install.packages("pGMGM")
AuthorChen Gao, Yunzhang Zhu
Date of publication2016-06-28 23:33:21
MaintainerChen Gao <gaoxx492@umn.edu>
LicenseGPL-2
Version1.0

View on CRAN

Files

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

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

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.