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BKPC: Bayesian Kernel Projection Classifier

Bayesian kernel projection classifier (Domijan and Wilson,2011) <doi:10.1007/s11222-009-9161-8> 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: 1.0.2
Depends: R (≥ 3.5.0)
Imports: kernlab
Published: 2026-06-22
DOI: 10.32614/CRAN.package.BKPC
Author: Katarina Domijan ORCID iD [aut, cre]
Maintainer: Katarina Domijan <domijank at tcd.ie>
BugReports: https://github.com/domijan/BKPC/issues
License: MIT + file LICENSE
URL: https://github.com/domijan/BKPC
NeedsCompilation: yes
Materials: README
CRAN checks: BKPC results

Documentation:

Reference manual: BKPC.html , BKPC.pdf

Downloads:

Package source: BKPC_1.0.2.tar.gz
Windows binaries: r-devel: BKPC_1.0.2.zip, r-release: BKPC_1.0.2.zip, r-oldrel: BKPC_1.0.2.zip
macOS binaries: r-release (arm64): BKPC_1.0.2.tgz, r-oldrel (arm64): BKPC_1.0.2.tgz, r-release (x86_64): BKPC_1.0.2.tgz, r-oldrel (x86_64): BKPC_1.0.2.tgz
Old sources: BKPC archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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