High-Dimensional Graphical Model Search with the gRapHD R Package

High-Dimensional Graphical Model Search with the gRapHD R Package

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 mod...

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Bibliographic Details
Main Authors: Gabriel C. G. Abreu, Rodrigo Labouriau, David Edwards
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2010-11-01
Series:Journal of Statistical Software
Subjects:
graph
graphical model
triangulation
Online Access:http://www.jstatsoft.org/v37/i01

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