Description Usage Arguments Value Author(s) References
Calculates the log-likelihood of the data with the current parameters and Kendall's distance.
1 | Likelihood(z, p, C.lam, lambda, all.dists.data)
|
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. |
Current log-likelihood of the data with the current parameters.
Erik Gregory
"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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