gRapHD: Efficient selection of undirected graphical models for high-dimensional datasets
Version 0.2.4

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.

Getting started

Package details

AuthorGabriel Coelho Goncalves de Abreu <[email protected]>, Rodrigo Labouriau <[email protected]>, David Edwards <[email protected]>.
Date of publication2014-03-09 15:19:17
MaintainerGabriel Coelho Goncalves de Abreu <[email protected]>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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gRapHD documentation built on May 29, 2017, 9:06 p.m.