Likelihood of the data and parameters.

Description

Calculates the log-likelihood of the data with the current parameters and Kendall's distance.

Usage

1
  Likelihood(z, p, C.lam, lambda, all.dists.data)

Arguments

z

Probability of each cluster membership.

p

Proportion in each cluster.

C.lam

Vector of normalizing coefficients for Mallows' model.

lambda

Current spread parameters

all.dists.data

All distances from the data to the modal sequences.

Value

Current log-likelihood of the data with the current parameters.

Author(s)

Erik Gregory

References

"Mixtures of distance-based models for ranking data". Thomas Brendan Murphy & Donal Martin. 1 April 2002. Computational Statistics & Data Analysis 41 (2003) 645-655.

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