| MC.ranks {TopKLists} | R Documentation |
MC based rank aggregation
Description
Compute aggregate ranks based on the transition matrix from the three Markov Chain algorithms.
Usage
MC.ranks(elements, trans, a, delta)
Arguments
elements |
Unique elements of the union of all input lists - second element of the output list from function |
trans |
One of the three transition matrices build by function |
a |
Tuning parameter to make sure Markov Chain with the transition matrix is ergodic; parameter value passed from |
delta |
Convergence criterion for stationary distribution; parameter value passed from |
Details
Compute stationary distribution based on a Markov Chain transition matrix built with function trans.matrix.
Value
A list with 3 components:
comp1 |
Number of iterations to reach the stationary distribution |
comp2 |
The stationary distribution |
comp3 |
The rankings based on the stationary distribution |
Author(s)
Shili Lin <shili@stat.osu.edu>
References
Lin, S. (2010) Space oriented rank-based data integration. Statistical Applications in Genetics and Molecular Biology 9, Article 20.