| BKPC-package | Bayesian Kernel Projection Classifier |
| BKPC | Bayesian Kernel Projection Classifier |
| bkpc | Bayesian Kernel Projection Classifier |
| bkpc.default | Bayesian Kernel Projection Classifier |
| bkpc.kern | Bayesian Kernel Projection Classifier |
| bkpc.kernelMatrix | Bayesian Kernel Projection Classifier |
| gaussKern | Gaussian kernel |
| getPrincipalComponents | Kernel Principal Components Analysis |
| kPCA | Kernel Principal Components Analysis |
| kPCA.default | Kernel Principal Components Analysis |
| kPCA.kern | Kernel Principal Components Analysis |
| kPCA.kernelMatrix | Kernel Principal Components Analysis |
| marginalRelevance | Marginal Relevance |
| microarray | Microarray gene expression data |
| plot.bkpc | Plot bkpc Objects |
| plot.marginalRelevance | Plot marginalRelevance Objects |
| predict.bkpc | Predict Method for Bayesian Kernel Projection Classifier |
| predict.kPCA | Kernel Principal Components Analysis |
| predictMultinomSamples | Predict Method for Bayesian Kernel Projection Classifier |
| summary.bkpc | Summary statistics for Markov Chain Monte Carlo chain from Bayesian Kernel Projection Classifier |