missSBM_collection

This R6 class stores a collection of missSBM_fit. Comes with basic printing methods an
field access.

datasets

When a network is partially observed (here, NAs in the adjacency matrix rather than 1 or 0
due to missing information between node pairs), it is possible to account for the underlying process
that generates those NAs. 'missSBM' adjusts the popular stochastic block model from network data
sampled under various missing data conditions, as described in Tabouy, Barbillon and Chiquet (2019) <doi:10.1080/01621459.2018.1562934>.

Julien Chiquet

missSBM

Handling Missing Data in Stochastic Block Models

Pierre Barbillon

Timoth<c3><a9>e Tabouy

missSBM_collection function

An object of class <code>R6ClassGenerator</code> of length 24.

Format

<dl class="dl-horizontal">
<dt><code>models</code></dt><dd>a list of models</dd></dl><dt><code>ICL</code></dt><dd>the vector of Integrated Classification Criterion (ICL) associated to
the models in the collection (the smaller, the better)</dd><dt><code>bestModel</code></dt><dd>the best model according to the ICL</dd><dt><code>optimizationStatus</code></dt><dd>a data.frame summarizing the optimization process for all models</dd>

missSBM_collection: An object to represent a collection of missSBM_fit

Description

Usage

Arguments

Format

Fields

See Also