summary,dmbc_ic-method

dmbc_ic-summary

An object of class <code><a rd-options="" href="/link/dmbc_ic?package=dmbc&version=0.4.0" data-mini-rdoc="dmbc::dmbc_ic">dmbc_ic</a></code>.

object

An optional length-one numeric vector providing the number of
latent space dimension to use in the summary.

An optional length-one numeric vector providing the number of
clusters to use in the summary.

Provide a summary of a <code>dmbc_ic</code> class instance.

Functions for fitting a Bayesian model for grouping binary
dissimilarity matrices in homogeneous clusters. Currently, it includes
methods only for binary data.

Sergio Venturini

dmbc

Model Based Clustering of Binary Dissimilarity Measurements

Raffaella Piccarreta

summary,dmbc_ic-method function

An object of class <code><a rd-options='' href='dmbc_ic'>dmbc_ic</a></code>.

summary,dmbc_ic-method: Provide a summary of a `dmbc_ic` class instance.

Description

Usage

Arguments