| RANKS-package | Ranking of Nodes with Kernelized Score Functions |
| cauchy.kernel | Kernel functions |
| compute.acc | Utility functions |
| compute.F | Utility functions |
| do.GBA | GBA cross-validation experiments with multiple classes |
| do.loo.RANKS | RANKS leave-one-out experiments with multiple classes |
| do.RANKS | RANKS cross-validation experiments with multiple classes |
| do.RW | Random walk cross-validation experiments with multiple classes |
| do.RWR | Random walk with restart cross-validation experiments with multiple classes |
| do.stratified.cv.data | Utility functions |
| eav.score | Multiple vertex score functions |
| eav.score-method | Multiple vertex score functions |
| eav.score-methods | Multiple vertex score functions |
| find.optimal.thresh.cv | Function to find the optimal RANKS score thereshold |
| gaussian.kernel | Kernel functions |
| GBAmax | Guilt By Association (GBA) using the maximum rule |
| GBAsum | Guilt By Association (GBA) using the sum rule |
| identity.kernel | Kernel functions |
| inv.multiquadric.kernel | Kernel functions |
| ker.score.classifier.cv | Multiple cross-validation with RANKS for classification |
| ker.score.classifier.holdout | RANKS held-out procedure for a single class |
| ker.score.cv | RANKS cross-validation for a single class |
| Kernel functions | Kernel functions |
| KNN.score | Multiple vertex score functions |
| KNN.score-method | Multiple vertex score functions |
| KNN.score-methods | Multiple vertex score functions |
| label.prop | Label propagation |
| labelsfromscores | Utility functions |
| laplacian.kernel | Kernel functions |
| linear.kernel | Kernel functions |
| Methods for scoring a single vertex | Single vertex score functions |
| Methods for scoring multiple vertices | Multiple vertex score functions |
| multiple.ker.score.cv | RANKS multiple cross-validation for a single class |
| multiple.ker.score.thresh.cv | Function for RANKS multiple cross-validation and optimal threshold finding for a single class |
| Multiple.labels.from.scores | Utility functions |
| multiple.RW.cv | Random walk, GBA and labelprop multiple cross-validation for a single class |
| NN.score | Multiple vertex score functions |
| NN.score-method | Multiple vertex score functions |
| NN.score-methods | Multiple vertex score functions |
| norm1 | Utility functions |
| p.step.rw.kernel | Random walk kernel |
| p.step.rw.kernel-method | Random walk kernel |
| p.step.rw.kernel-methods | Random walk kernel |
| poly.kernel | Kernel functions |
| RANKS | Ranking of Nodes with Kernelized Score Functions |
| RW | Random walk on a graph |
| RW.cv | Random walk, GBA and labelprop cross-validation for a single class |
| rw.kernel | Random walk kernel |
| rw.kernel-method | Random walk kernel |
| rw.kernel-methods | Random walk kernel |
| RWR | Random walk with Restart on a graph |
| selection.test | Utility functions |
| single.eav.score | Single vertex score functions |
| single.eav.score-method | Single vertex score functions |
| single.eav.score-methods | Single vertex score functions |
| single.KNN.score | Single vertex score functions |
| single.KNN.score-method | Single vertex score functions |
| single.KNN.score-methods | Single vertex score functions |
| single.NN.score | Single vertex score functions |
| single.NN.score-method | Single vertex score functions |
| single.NN.score-methods | Single vertex score functions |
| single.WSLD.score | Single vertex score functions |
| single.WSLD.score-method | Single vertex score functions |
| single.WSLD.score-methods | Single vertex score functions |
| Unit.sphere.norm | Utility functions |
| WSLD.score | Multiple vertex score functions |
| WSLD.score-method | Multiple vertex score functions |
| WSLD.score-methods | Multiple vertex score functions |