Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Søren Højsgaard
Title: Graphical Independence Networks with the gRain Package for R
Abstract: In this paper we present the R package gRain for propagation in graphical independence networks (for which Bayesian networks is a special instance). The paper includes a description of the theory behind the computations. The main part of the paper is an illustration of how to use the package. The paper also illustrates how to turn a graphical model and data into an independence network.

Page views:: 10770. Submitted: 2009-11-20. Published: 2012-02-28.
Paper: Graphical Independence Networks with the gRain Package for R     Download PDF (Downloads: 11929)
Supplements:
gRain_1.0-0.tar.gz: R source package Download (Downloads: 989; 218KB)
v46i10.R: R example code from the paper Download (Downloads: 1169; 12KB)
DOI: 10.18637/jss.v046.i10

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.