dmbc_logLik_rbmds: Log-likelihood for DMBC models.

In dmbc: Model Based Clustering of Binary Dissimilarity Measurements

Log-likelihood for DMBC models.

Description

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

Usage

dmbc_logLik_rbmds(D, Z, alpha)

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.

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 April 26, 2022, 5:05 p.m.