BKPC: Bayesian Kernel Projection Classifier

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.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: kernlab
Published: 2018-03-13
Author: K. Domijan
Maintainer: K. Domijan <domijank at tcd.ie>
License: GPL-2
NeedsCompilation: yes
Materials: README
CRAN checks: BKPC results


Reference manual: BKPC.pdf
Package source: BKPC_1.0.1.tar.gz
Windows binaries: r-devel: BKPC_1.0.1.zip, r-release: BKPC_1.0.1.zip, r-oldrel: BKPC_1.0.1.zip
OS X binaries: r-release: BKPC_1.0.1.tgz, r-oldrel: BKPC_1.0.1.tgz
Old sources: BKPC archive


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