dmbc_ic-class {dmbc} | R Documentation |
An S4 class to represent the comparison of a set of DMBC models.
Description
An S4 class to represent the comparison of a set of DMBC models through the dissimilarity model-based clustering information criterion (DCIC).
Slots
logprior
An object of class
matrix
providing the log-prior values corresponding to different values of p and G.logmlik
An object of class
matrix
providing the marginal log-likelihood values corresponding to different values of p and G.logcorrfact
An object of class
matrix
providing the logarithm of the correction factors corresponding to different values of p and G.DCIC
An object of class
matrix
providing the values of the DCIC index corresponding to different values of p and G.post.est
An object of class
list
; named list with elements representing the parameter estimates corresponding to different values of p and G.est
A length-one character vector representing the estimate type used in computing the DCIC index. Possible values are
mean
,median
,ml
andmap
. Seedmbc_ic()
for more details about these values.res_last_p
An object of class
list
; list ofdmbc_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.
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>.
Examples
showClass("dmbc_ic")