Likelihood: Likelihood of the data and parameters.

In RMallow: Fit Multi-Modal Mallows' Models to Ranking Data

Description

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

Usage

  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.

RMallow documentation built on Feb. 7, 2020, 9:06 a.m.