| aggmap | Aggregation map for the integration of truncated lists |
| Borda | Borda based rank aggregation |
| Borda.plot | Plot Borda's scores against ranks |
| breast | Sample data from breast cancer expression |
| calculate.maxK | The main function for TopKInference |
| CEMC | CEMC based rank aggregation |
| compute.stream | Calculates point of degeneration j0 into noise of the Idata, applying moderate deviation-based inference |
| deltaplot | An exploratory plot of discordance for delta selection. |
| geo.mean | Calculate the geometric mean |
| init.p | Initialization method for probabilities |
| input | Sample input for TopKSpace functions |
| j0.multi | Function returning an overall point j0 of degeneration into noise for multiple ranked lists |
| Kendall.plot | Plot of the Kendall Criterion values |
| Kendall2Lists | Calculate modified Kendall's tau distance |
| Kendall2Lists.c | Calculate modified Kendall's tau distance |
| KendallMLists | KendallMLists |
| l2norm | Calculate the L2 norm |
| MC | Markov chain based rank aggregation |
| MC.plot | Plot of the ordered stationary probabilities |
| MC.ranks | MC based rank aggregation |
| prepare.idata | Prepare Idata vector of 0's and 1's |
| space | Sample input for TopKSpace functions |
| Spearman | Modified Spearman's footrule distance |
| TopKLists | Inference, aggregation and visualization for top-_k_ ranked lists |
| TopKListsGUI | TopKListsGUI for inference and visualization |
| TopKSample | Sampler to generate N top-k lists according to p |
| TopKSample.c | Sampler to generate N top-k lists according to p |
| TopKSpaceSampleInput | Sample input for TopKSpace functions |
| trans.matrix | Compute transition matrices |