dmbc_logLik: Log-likelihood for DMBC models.

In dmbc: Model Based Clustering of Binary Dissimilarity Measurements

Log-likelihood for DMBC models.

Description

dmbc_logLik() computes the log-likelihood value for a DMBC model.

Usage

dmbc_logLik(D, Z, alpha, lambda, x)

Arguments

D	A list whose elements are the dissimilarity matrices corresponding to the judgments expressed by the S subjects/raters. These matrices must be defined as a dist object.
Z	A numeric matrix containing the latent configuration.
alpha	A numeric vector containing the alpha values.
lambda	A numeric vector containing the alpha lambda.
x	A numeric vector containing the cluster indicator values.

Value

A length-one numeric vector of the log-likelihood value.

Author(s)

Sergio Venturini [e-mail]

References

Venturini, S., Piccarreta, R. (2021), "A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: the dmbc Package in R", Journal of Statistical Software, 100, 16, 1–35, <10.18637/jss.v100.i16>.

See Also

dmbc().

dmbc documentation built on Sept. 30, 2024, 9:31 a.m.