dmbc_logLik {dmbc}R Documentation

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 sergio.venturini@unicatt.it

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().


[Package dmbc version 1.0.1 Index]