Inference, Aggregation and Visualization for Top-K Ranked Lists

Documentation for package ‘TopKLists’ version 1.0.8

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