update_eta_bayesian

Our approach uses a  mixture of multilayer stochastic block models to group co-membership matrices with similar information into components and to partition observations into different clusters. See De Santiago (2023, ISBN: 978-2-87587-088-9).

Kylliann De Santiago

mimiSBM

Mixture of Multilayer Integrator Stochastic Block Models

Marie Szafranski

Christophe Ambroise

update_eta_bayesian function

<dl><dt>A</dt>
<dd>an array of dim=c(N,N,V)</dd>
<dt>params</dt>
<dd>list of parameters of the model</dd></dl>

Arguments

Update of bayesian parameter eta — update_eta_bayesian

<dl>

<dt>A</dt>
<dd>an array of dim=c(N,N,V)</dd>


<dt>params</dt>
<dd>list of parameters of the model</dd>

</dl>

update_eta_bayesian: Update of bayesian parameter eta

Description

Usage

Value

Arguments