An S4 class to represent the the latent configuration estimate for a DMBC model.
Z.est
An array containing the estimate of the latent configuration for a DMBC model.
Z.sd
An array containing the standard deviation of the latent configuration for a DMBC model.
cluster
A numeric vector providing the estimated group membership for the S subjects in the data.
est
A length-one character vector providing the estimate type
returned in Z.est
. Possible values are mean
(posterior
mean), median
(posterior median), ml
(maximum likelihood)
and map
(maximum-a-posteriori).
n
A length-one numeric vector providing the number of objects.
p
A length-one numeric vector providing the number of latent dimensions.
S
A length-one numeric vector providing the number of subjects.
G
A length-one numeric vector providing the number of clusters.
family
An object of class list
; named list with
elements representing the parameter estimates corresponding to different
values of p and G.
chain
A length-one numeric vector representing the ID of the MCMC chain used to compute the estimates.
labels
A character vector for the (optional) strings to use in the plots for labeling the objects.
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>.