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Bayesian kernel projection classifier is a nonlinear multicategory classifier which performs the classification of the projections of the data to the principal axes of the feature space. A Gibbs sampler is implemented to find the posterior distributions of the parameters.
Package details 


Author  K. Domijan 
Maintainer  K. Domijan <domijank@tcd.ie> 
License  GPL2 
Version  1.0.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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