An S4 class to represent the comparison of a set of DMBC models through the dissimilarity model-based clustering information criterion (DCIC).
logpriorAn object of class matrix providing the
log-prior values corresponding to different values of p and
G.
logmlikAn object of class matrix providing the
marginal log-likelihood values corresponding to different values of
p and G.
logcorrfactAn object of class matrix providing the
logarithm of the correction factors corresponding to different values of
p and G.
DCICAn object of class matrix providing the values
of the DCIC index corresponding to different values of p and
G.
post.estAn object of class list; named list with
elements representing the parameter estimates corresponding to different
values of p and G.
estA length-one character vector representing the estimate
type used in computing the DCIC index. Possible values are mean,
median, ml and map. See dmbc_ic() for
more details about these values.
res_last_pAn object of class list; list of
dmbc_fit_list objects with the results of fitting the DMBC
models corresponding to the last value of p. This is needed in case
of an update of the DCIC calculations using additional p and/or
G values.
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>.