| ProbSVMs-package | Probabilistic Support Vector Machines |
| as.ClassProb | Coerce matrix and data.frames to a 'ClassProb' object |
| buildgrid | Probabilistic Support Vector Machines |
| Csearch | Probabilistic Support Vector Machines |
| evalPP | Probabilistic Support Vector Machines |
| GausKern | Probabilistic Support Vector Machines |
| GenCrossVFolds | Probabilistic Support Vector Machines |
| GetrbfdotSigPar | rbfdot Sigma hyper-parameter |
| is.wholenumber | Probabilistic Support Vector Machines |
| l2norm2 | Probabilistic Support Vector Machines |
| LPdual | Probabilistic Support Vector Machines |
| makeKMat | making kernal matrices |
| makeKMat0 | Probabilistic Support Vector Machines |
| MedianDist1Set | Probabilistic Support Vector Machines |
| MedianDist2Sets | Probabilistic Support Vector Machines |
| plot.ClassProb | S3 plot method for 'ClassProb' objects |
| predict.kernelSVM | S3 predict method for class 'kernelSVM' |
| predict.PVM | S3 predict method for class 'PVM' |
| ProbSVMs | Probabilistic Support Vector Machines |
| SetUpOptPar | Set up optimization parameters. |
| SetUpTunPar | Setting up SVM tuning parameters. |
| sigest1 | Probabilistic Support Vector Machines |
| trainandevalPVM | Probabilistic Support Vector Machines |
| trainPVM | Training of Probabilistic Vector Machines |
| trainSVM | Efficient training of (multiclass) kernel-based Support Vector Machines |