dmbc_model-class

dmbc_model

An S4 class to represent a DMBC model.

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

dmbc_model-class function

<dl>
<dt><code>p</code></dt>
<dd>A length-one character vector representing the number of dimensions
of the latent space to use in the MDS analysis.</dd></dl>
<dt><code>G</code></dt>
<dd>A length-one numeric vector representing the number of clusters to
partition the subjects into.</dd>
<dt><code>family</code></dt>
<dd>A length-one character vector representing the type of data to
analyze. Currently, it accepts only the 'binomial' value, but future
developments will include the possibility to analyze continuous,
multinomial and count data.</dd>

Slots

An S4 class to represent a DMBC model. — dmbc_model-class

<dl>
<dt><code>p</code></dt>
<dd>A length-one character vector representing the number of dimensions
of the latent space to use in the MDS analysis.</dd>


<dt><code>G</code></dt>
<dd>A length-one numeric vector representing the number of clusters to
partition the subjects into.</dd>


<dt><code>family</code></dt>
<dd>A length-one character vector representing the type of data to
analyze. Currently, it accepts only the 'binomial' value, but future
developments will include the possibility to analyze continuous,
multinomial and count data.</dd>


</dl>

dmbc_model-class: An S4 class to represent a DMBC model.

Description

Arguments

Slots

References

Examples