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TopKLists (version 1.0.3)

Inference, aggregation and visualization for top-k ranked lists

Description

For multiple ranked input lists (full or partial) representing the same set of N objects, the package TopKLists offers (1) statistical inference on the lengths of informative top-k lists, (2) stochastic aggregation of full or partial lists, and (3) graphical tools for the statistical exploration of input lists, and for the visualization of aggregation results.

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Version

Install

install.packages('TopKLists')

Monthly Downloads

178

Version

1.0.3

License

LGPL-3

Maintainer

Michael Schimek

Last Published

November 11th, 2014

Functions in TopKLists (1.0.3)

Sampler to generate N top-k lists according to p

Modified Spearman's footrule distance

Function returning an overall point j0 of degeneration into noise for multiple ranked lists

CEMC based rank aggregation

Markov chain based rank aggregation

Sample data from breast cancer expression

TopKListsGUI for inference and visualization

Calculate the L2 norm

An exploratory plot of discordance for delta selection.

TopKSpaceSampleInput

Sample input for TopKSpace functions

Aggregation map for the integration of truncated lists

The main function for TopKInference

Calculate modified Kendall's tau distance

MC based rank aggregation

Plot Borda's scores against ranks

Calculate the geometric mean

Plot of the Kendall Criterion values

Calculates point of degeneration j0 into noise of the Idata, applying moderate deviation-based inference

Compute transition matrices

Borda based rank aggregation

Prepare Idata vector of 0's and 1's

Plot of the ordered stationary probabilities

Initialization method for probabilities

TopKLists-package

Inference, aggregation and visualization for top-k ranked lists