er_network

<p>A dataset containing the weighted PPI network centered around the ESR1 (ER) protein</p>

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', presented in 'Barbillon, Chiquet and Tabouy' (2022) <doi:10.18637/jss.v101.i12>,
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

Timothée Tabouy

Jean-Benoist Léger

François Gindraud

großBM team 

er_network function

<p>A sparse symmetric matrix with 741 rows and 741 columns <code>ESR1</code></p>

Format

ER ego centered network — er_network

ER ego centered network

er_network: ER ego centered network

Description

Usage

Arguments

Format

Examples