gRapHD: The gRapHD package

In gRapHD: Efficient Selection of Undirected Graphical Models for High-Dimensional Datasets

Description

The gRapHD package 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.

Author(s)

Gabriel Coelho Goncalves de Abreu ([e-mail])
Rodrigo Labouriau ([e-mail])
David Edwards ([e-mail])

References

Gabriel C. G. Abreu, David Edwards, Rodrigo Labouriau (2010)., High-Dimensional Graphical Model Search with the gRapHD R Package., Journal of Statistical Software, 37(1), 1-18.,URL http://www.jstatsoft.org/v37/i01/.

gRapHD documentation built on Feb. 9, 2018, 6:05 a.m.