Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
High-Dimensional Graphical Model Search with the gRapHD R Package | Abreu | Journal of Statistical Software
Authors: Gabriel C. G. Abreu, Rodrigo Labouriau, David Edwards
Title: High-Dimensional Graphical Model Search with the gRapHD R Package
Abstract: This paper presents the R package gRapHD for efficient selection of high-dimensional undirected graphical models. The package provides tools for selecting trees, forests, and decomposable models minimizing information criteria such as AIC or BIC, and for displaying the independence graphs of the models. It has also some useful tools for analysing graphical structures. It supports the use of discrete, continuous, or both types of variables.

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Paper: High-Dimensional Graphical Model Search with the gRapHD R Package     Download PDF (Downloads: 3862)
Supplements:
gRapHD_0.2.0.tar.gz: R source package Download (Downloads: 639; 106KB)
v37i01.R: R example code from the paper Download (Downloads: 695; 8KB)
HapMap.rda: Example data in R binary format Download (Downloads: 655; 17KB)
periodontitis.rda: Example data in R binary format Download (Downloads: 679; 730KB)

DOI: 10.18637/jss.v037.i01

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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.