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

Package: gRapHD
Version: 0.2.4
Date: 2009-09-15
Title: Efficient selection of undirected graphical models for
high-dimensional datasets
Author: Gabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>,
Rodrigo Labouriau <Rodrigo.Labouriau@agrsci.dk>,
David Edwards <David.Edwards@agrsci.dk>.
Maintainer: Gabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>
Depends: R (>= 2.9.0), methods, graph
LazyLoad: yes
Description: 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.
License: GPL (>= 3)
Packaged: 2014-03-04 21:32:58 UTC; Gabriel
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-03-09 15:19:17

● Data Source: CranContrib
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