Inference, Aggregation and Visualization for Top-K Ranked Lists
Aggregation map for the integration of truncated lists
Plot Borda's scores against ranks
Borda based rank aggregation
The main function for TopKInference
CEMC based rank aggregation
Calculates point of degeneration j0 into noise of the Idata, applying ...
An exploratory plot of discordance for delta selection.
Calculate the geometric mean
Initialization method for probabilities
Function returning an overall point j0 of degeneration into noise for ...
Plot of the Kendall Criterion values
Calculate modified Kendall's tau distance
KendallMLists
Calculate the L2 norm
Plot of the ordered stationary probabilities
MC based rank aggregation
Markov chain based rank aggregation
Prepare Idata vector of 0's and 1's
Modified Spearman's footrule distance
Inference, aggregation and visualization for top-k ranked lists
TopKListsGUI for inference and visualization
Sampler to generate N top-k lists according to p
Compute transition matrices
For multiple ranked input lists (full or partial) representing the same set of N objects, the package 'TopKLists' <doi:10.1515/sagmb-2014-0093> 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. Note that RGtk2 and gWidgets2RGtk2 have been archived on CRAN. See <https://github.com/pievos101/TopKLists> for installation instructions.