gconcord: Concord method for Graphical Model Selection

Estimates a sparse inverse covariance matrix from a convex pseudo-likelihood function with L1 penalty

AuthorSang-Yun Oh <sang.oh@stanford.edu> Kshitij Khare <kdkhare@stat.ufl.edu> Bala Rajaratnam <brajarat@stanford.edu>
Date of publication2014-01-24 23:55:31
MaintainerSang-Yun Oh <sang.oh@stanford.edu>
LicenseGPL (>= 2)
Version0.41

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Files in this package

gconcord
gconcord/src
gconcord/src/Makevars
gconcord/src/concord.h
gconcord/src/symlasso.c
gconcord/src/Makevars.win
gconcord/src/concord.c
gconcord/NAMESPACE
gconcord/R
gconcord/R/concord.R
gconcord/MD5
gconcord/DESCRIPTION
gconcord/man
gconcord/man/concord.Rd gconcord/man/symlasso.Rd

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