| 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... |
| do.RWR | Random walk with restart cross-validation experiments with... |
| find.optimal.thresh.cv | Function to find the optimal RANKS score thereshold |
| GBAmax | Guilt By Association (GBA) using the maximum rule |
| GBAsum | Guilt By Association (GBA) using the sum rule |
| kernel.functions | 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 |
| label.prop | Label propagation |
| 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... |
| multiple.RW.cv | Random walk, GBA and labelprop multiple cross-validation for... |
| RANKS-package | 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... |
| rw.kernel-methods | Random walk kernel |
| RWR | Random walk with Restart on a graph |
| score.multiple.vertex-methods | Multiple vertex score functions |
| score.single.vertex-methods | Single vertex score functions |
| Utilities | Utility functions |
| weighted.score.multiple.vertex-methods | Multiple vertex score functions - weighted version |
| weighted.score.single.vertex-methods | Single vertex score functions - weighted version |
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