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TopKLists (version 1.0.1)

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

1.0.1

License

LGPL-3

Maintainer

Michael Schimek

Last Published

May 2nd, 2014

Functions in TopKLists (1.0.1)

CEMC based rank aggregation

Prepare Idata vector of 0's and 1's

Borda based rank aggregation

TopKLists-package

Inference, aggregation and visualization for top-k ranked lists

Calculate the geometric mean

Initialization method for probabilities

Sample data from breast cancer expression

The main function for TopKInference

Aggregation map for the integration of truncated lists

Calculate modified Kendall's tau distance

TopKListsGUI for inference and visualization

TopKSpaceSampleInput

Sample input for TopKSpace functions

Plot of the Kendall Criterion values

Plot of the ordered stationary probabilities

Markov chain based rank aggregation

TopKGUISampleInput

Sample input for TopKGUI functions

MC based rank aggregation

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

Calculate the L2 norm

Plot Borda's scores against ranks

Sampler to generate N top-k lists according to p

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

An exploratory plot of discordance for delta selection.

Modified Spearman's footrule distance

Compute transition matrices