compLikICL

compute the Integrated likeilhood and the ICL criteria for the MBM

We define generalized multipartite networks as the joint observation of several networks implying some common pre-specified groups of individuals. The aim is to fit an adapted version of the popular stochastic block model to multipartite networks, as described in Bar-hen, Barbillon and Donnet (2020) <arXiv:1807.10138>.

Sophie Donnet

GREMLINS

Generalized Multipartite Networks

Pierre Barbillon

compLikICL function

<dl><dt>paramEstim</dt>
<dd>Estimated parameters of MBM</dd>
<dt>list_Net</dt>
<dd>A list of network</dd>
<dt>v_distrib</dt>
<dd>Type of proababilistic distributions in each network : if 0/1 then Bernoulli, if counting then Poisson. My default = Bernoulli.
Must give a vector whose length is the number of networks in list_Net</dd></dl>

Arguments

compute the Integrated likeilhood and the ICL criteria for the MBM — compLikICL

<dl>

<dt>paramEstim</dt>
<dd>Estimated parameters of MBM</dd>


<dt>list_Net</dt>
<dd>A list of network</dd>


<dt>v_distrib</dt>
<dd>Type of proababilistic distributions in each network : if 0/1 then Bernoulli, if counting then Poisson. My default = Bernoulli.
Must give a vector whose length is the number of networks in list_Net</dd>

</dl>

compLikICL: compute the Integrated likeilhood and the ICL criteria for the MBM

Description

Usage

Value

Arguments