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Message-ID: <20090324145850.103920@gmx.net>
Date: 2009-03-24T14:58:50Z
From: Matthias Buehlmaier
Subject: [R--gR] Package for Discrete Bayesian Networks

All, 

I would like to apply Bayesian networks to text-based information. That is, I would like to use Bayesian networks to extract 'sentiment' (say, 'good' vs. 'bad') form unstructured text. 

>From the CRAN Task View on gRaphical Models in R it seems that I should use the combination of the two packages deal and gRain (please correct me if I overlooked something). The package deal can work both with discrete and continuous variables. For my project I only need to work with discrete variables. Due to the large amount of data that I potentially have to handle, I am concerned that maybe deal will not run fast enough because it is 'too general' for my purpose. 

In this sense, I would like to ask the following: is there an R package that I overlooked and that is tailored towards Bayesian networks with discrete variables? 

Many thanks, 

Matthias 

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Matthias Buehlmaier 
Vienna Graduate School of Finance 
www.buehlmaier.net


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