Current Volume | Browse | Search | RSSHome | Instructions for Authors | JSS Style Guide | Editorial Board

Authors: Søren Højsgaard, Steffen L. Lauritzen
Title: [download]
(3651)
Inference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc Package for R
Reference: Vol. 23, Issue 6, Dec 2007
Submitted 2006-09-20, Accepted 2007-09-06
Type: Article
Abstract:

In this paper we present the R package gRc for statistical inference in graphical Gaussian models in which symmetry restrictions have been imposed on the concentration or partial correlation matrix. The models are represented by coloured graphs where parameters associated with edges or vertices of same colour are restricted to being identical. We describe algorithms for maximum likelihood estimation and discuss model selection issues. The paper illustrates the practical use of the gRc package.

Paper: [download]
(3651)
Inference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc Package for R
(application/pdf, 460.6 KB)
Supplements: [download]
(1303)
gRc_0.1.1.tar.gz: R source package
(application/x-gzip, 31 KB)
[download]
(1625)
v23i06.R: R example code from the paper
(text/plain, 2.9 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.
Current Volume | Browse | Search | RSSHome | Instructions for Authors | JSS Style Guide | Editorial Board