R: Inference, Aggregation and Visualization for Top-K Ranked Lists

# Inference, Aggregation and Visualization for Top-K Ranked Lists

## Documentation for package ‘TopKLists’ version 1.0.8

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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