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 
[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: not available, r-release: not available, r-oldrel: not available |
| 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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