Dear members of the gR community,

I am about to start working on classification on neuroscience data and I am
wondering if anyone is aware of plans to implement some advanced Bayesian
classifiers in R. Namely: semi-naive Bayes, tree-augmented or k-dependence.
Any additions to the naive Bayes functionalities available in several
packages (e.g. e1071, klaR), such as bayesian approaches to the estimation
of parameters, would be interesting to me.

Thanks a lot,
-- 
Bojan

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