[R] Naive Bayes Classifier

[m.marcinmichal]

Hi,
Currently I testing the packets that contain built-in features for
classification. Actually I looked packages such as: e1071, Klar, Caret,
CORElearn. However, from what I noticed when building a naive Bayesian
classifier, that they package use of the finite mixture model to estimate P
(x | C) and using a normal distribution. In my research I use binary data
and I want modeled P (x | C), eg the Poisson distribution. Are the packages
in the r-project that allows for replacing kernel to estimate P (x | C) as
another distribution (the
http://www.statsoft.com/textbook/naive-bayes-classifier/)? Or I must
implement such a solution yourself?

Best

Marcin M.

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