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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling linux/jammy R-4.5 | BKPC_1.0.2.tar.gz |
664.5 KiB |
1.0.2 |
rolling linux/noble R-4.5 | BKPC_1.0.2.tar.gz |
664.1 KiB |
1.0.2 |
rolling source/ R- | BKPC_1.0.2.tar.gz |
444.5 KiB |
1.0.2 |
latest linux/jammy R-4.5 | BKPC_1.0.2.tar.gz |
664.5 KiB |
1.0.2 |
latest linux/noble R-4.5 | BKPC_1.0.2.tar.gz |
664.1 KiB |
1.0.2 |
latest source/ R- | BKPC_1.0.2.tar.gz |
444.5 KiB |
1.0.2 |
2026-04-23 source/ R- | BKPC_1.0.2.tar.gz |
0 B |