graph, Rgraphviz, igraph, stats4, broom, magrittr, Rcpp (>=
0.11.1)

Efficient selection of undirected graphical models for
high-dimensional datasets
Gabriel Coelho Goncalves de Abreu <Gabriel.Abreu@agrsci.dk>,
Rodrigo Labouriau <Rodrigo.Labouriau@agrsci.dk>, David Edwards
<David.Edwards@agrsci.dk>.
Gabriel Coelho Goncalves de Abreu <Gabriel.Abreu@agrsci.dk>
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.

Gabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>,
Rodrigo Labouriau <Rodrigo.Labouriau@agrsci.dk>, David Edwards
<David.Edwards@agrsci.dk>.
Gabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>

Gabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>,
Rodrigo Labouriau <Rodrigo.Labouriau@agrsci.dk>,
David Edwards <David.Edwards@agrsci.dk>.
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.

Efficient Selection of Undirected Graphical Models for
High-Dimensional Datasets
Gabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>,
Rodrigo Labouriau <rodrigo.labouriau@math.au.dk>,
David Edwards <david.edwards@agrsci.dk>.
Performs efficient selection of high-dimensional undirected
graphical models as described in
Abreu, Edwards and Labouriau (2010) <doi:10.18637/jss.v037.i01>.
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.