gRapHD: Efficient selection of undirected graphical models for high-dimensional datasets

gRapHD is designed 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.

Version: 0.2.4
Depends: R (≥ 2.9.0), methods, graph
Published: 2014-03-09
Author: Gabriel Coelho Goncalves de Abreu, Rodrigo Labouriau, David Edwards.
Maintainer: Gabriel Coelho Goncalves de Abreu <abreu_ga at>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: gRapHD citation info
In views: gR
CRAN checks: gRapHD results


Reference manual: gRapHD.pdf
Package source: gRapHD_0.2.4.tar.gz
MacOS X binary: gRapHD_0.2.4.tgz
Windows binary:
Old sources: gRapHD archive