| 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
logpriorAn object of class
matrixproviding the log-prior values corresponding to different values of p and G.logmlikAn object of class
matrixproviding the marginal log-likelihood values corresponding to different values of p and G.logcorrfactAn object of class
matrixproviding the logarithm of the correction factors corresponding to different values of p and G.DCICAn object of class
matrixproviding 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,mlandmap. Seedmbc_ic()for more details about these values.res_last_pAn object of class
list; list ofdmbc_fit_listobjects 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")