MC.ranks

Unique elements of the union of all input lists - second element of the output list from function <code>trans.matrix</code>

elements

One of the three transition matrices build by function <code>trans.matrix</code> - 4 (5 or 6)
elements of the output list from function <code>trans.matrix</code>

trans

Tuning parameter to make sure Markov Chain with the transition matrix is ergodic; parameter value passed from <code>MC</code>.

Convergence criterion for stationary distribution; parameter value passed from <code>MC</code>.

delta

Compute aggregate ranks based on the transition matrix from the three Markov Chain algorithms.

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.

MC.ranks: MC based rank aggregation

Description

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See Also