[R] Naive Bayes Classifier
david.meyer at ci.tuwien.ac.at
Thu May 17 11:32:02 CEST 2001
Murray Jorgensen wrote:
> As I understand Naive Bayes it is essentially a finite mixture model for
> multivariate categorical distributions where the variables are independent in
> each component of the mixture. That is, I believe it to be a synonym Latent
> Class analysis. I believe the Frayley/Raftery package mclust may include this
> sort of model, and possibly other packages. Certainly these models may be
> expressed in the language of graphical models. Whether or not this would be
> useful for estimation purposes I am uncertain.
You could also try lca() in package e1071.
> Murray Jorgensen
> At 04:28 PM 16-05-01 +0100, Prof Brian Ripley wrote:
> >On Wed, 16 May 2001, Ursula Sondhauss wrote:
> >> I am looking for an implementation of the Naive Bayes classifier for a
> >> multi-class classification problem. I can not even find the Naive Bayes
> >> classifier for two classes, though I can not believe it is not
> >> available. Can anyone help me?
> >Hard to believe but likely true. However, as I understand this, it applies
> >to a (K+1)-way contingency table, with K explanatory factors and and one
> >response. And the `naive Bayes' model is a particular model for that
> >table. If you want a classifier, you only need the conditional
> >distribution of the response given the explanatory factors, and that is a
> >main-effects-only multiple logistic model. Now the *estimation*
> >procedures may be slightly different (`naive Bayes' is not fully defined),
> >but if that does not matter, use multinom() in package nnet to fit this.
> >A book on Graphical Modelling (e.g. Whittaker or Edwards) may help
> >elucidate the connections.
> >Let me stress *as I understand this* here.
> >Brian D. Ripley, ripley at stats.ox.ac.uk
> >Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
> >University of Oxford, Tel: +44 1865 272861 (self)
> >1 South Parks Road, +44 1865 272860 (secr)
> >Oxford OX1 3TG, UK Fax: +44 1865 272595
> >r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
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> Murray Jorgensen, Department of Statistics, U of Waikato, Hamilton, NZ
> -----[+64-7-838-4773]---------------------------[maj at waikato.ac.nz]-----
> "Doubt everything or believe everything:these are two equally convenient
> strategies. With either we dispense with the need to think."
> http://www.stats.waikato.ac.nz/Staff/maj.html - Henri Poincare'
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Mag. David Meyer Wiedner Hauptstrasse 8-10
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Theory and Actuarial Mathematics mail: david.meyer at ci.tuwien.ac.at
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