High-Dimensional Graphical Model Search with the gRapHD R Package

Gabriel C. G. Abreu, Rodrigo Labouriau and David Edwards

Journal of Statistical Software, 2010, vol. 037, issue i01

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.

Date: 2010-11-10
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v037i01/v37i01.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... /gRapHD_0.2.0.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v037i01/v37i01.R
https://www.jstatsoft.org/index.php/jss/article/do ... e/v037i01/HapMap.rda
https://www.jstatsoft.org/index.php/jss/article/do ... 01/periodontitis.rda

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:037:i01

DOI: 10.18637/jss.v037.i01

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().