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 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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Year of publication:	2010-11-10
Authors:	Abreu, Gabriel C. G. ; Labouriau, Rodrigo ; Edwards, David
Published in:	Journal of Statistical Software. - American Statistical Association. - Vol. 37.2010, i01
Publisher:	American Statistical Association

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Extent:	text/html
Type of publication:	Article
Language:	English
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009018324