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.
|Author||Michael G. Schimek, Eva Budinska, Jie Ding, Karl G. Kugler, Vendula Svendova, Shili Lin|
|Date of publication||2015-11-09 14:41:55|
|Maintainer||Michael G. Schimek <firstname.lastname@example.org>|
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,...
deltaplot: An exploratory plot of discordance for delta selection.
geo.mean: Calculate the geometric mean
init.p: Initialization method for probabilities
j0.multi: Function returning an overall point j0 of degeneration into...
kendall2Lists: Calculate modified Kendall's tau distance
kendall.plot: Plot of the Kendall Criterion values
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
spearman: Modified Spearman's footrule distance
TopKListsGUI: TopKListsGUI for inference and visualization
TopKLists-package: Inference, aggregation and visualization for top-_k_ ranked...
TopKSample: Sampler to generate N top-k lists according to p
TopKSpaceSampleInput: Sample input for TopKSpace functions
trans.matrix: Compute transition matrices