summary,dmbc_ic-method

dmbc_ic-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 (<doi:10.18637/jss.v100.i16>).

Sergio Venturini

dmbc

Model Based Clustering of Binary Dissimilarity Measurements

Raffaella Piccarreta

summary,dmbc_ic-method function

<dl><dt>object</dt>
<dd>An object of class <code>dmbc_ic</code>.</dd>
<dt>p</dt>
<dd>An optional length-one numeric vector providing the number of
latent space dimension to use in the summary.</dd>
<dt>G</dt>
<dd>An optional length-one numeric vector providing the number of
clusters to use in the summary.</dd></dl>

Arguments

Sergio Venturini <a href="/link/sergio.venturini%40unicatt.it?package=dmbc&version=1.0.3" data-mini-rdoc="dmbc::sergio.venturini@unicatt.it">sergio.venturini@unicatt.it</a>

Author

Provide a summary of a dmbc_ic class instance. — summary,dmbc_ic-method

<dl>

<dt>object</dt>
<dd>An object of class <code>dmbc_ic</code>.</dd>


<dt>p</dt>
<dd>An optional length-one numeric vector providing the number of
latent space dimension to use in the summary.</dd>


<dt>G</dt>
<dd>An optional length-one numeric vector providing the number of
clusters to use in the summary.</dd>

</dl>

Sergio Venturini <a href='mailto:sergio.venturini@unicatt.it'>sergio.venturini@unicatt.it</a>

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

Description

Usage

Arguments

Author