Updates the Lambda parameters to maximize the likelihood of the data under Mallows' model.
UpdateLambda(r, R, z, G, dists.to.Rg, dists.table,
top.bound = 1000)
Matrix of partial rankings.
Current modal sequences.
Current probabilities of memberships in each cluster.
Number of modal sequences.
Matrix of the distances between the data and the current modal sequences.
Table of the distance distribution in N! space, under Kendall's metric.
The maximum value for the lambda parameter.
Vector of new lambda parameters for the clusters.
"Mixtures of distance-based models for ranking data". Thomas Brendan Murphy & Donal Martin. 1 April 2002. Computational Statistics & Data Analysis 41 (2003) 645-655.