Y_to_M

uses C code to quickly find all pairs of nodes for which we do not know whether there
is a link or not, given an adjacency matrix with NaNs indicating unknown / unobserved linkage

Fit and simulate latent position and cluster models for network data, using a fast Variational Bayes approximation developed in Salter-Townshend and Murphy (2013) <doi:10.1016/j.csda.2012.08.004>.

Michael SalterTownshend

VBLPCM

Variational Bayes Latent Position Cluster Model for Networks

Y_to_M function

<dl> <dt>N</dt>
<dd>number of nodes</dd> <dt>NM</dt>
<dd>number of missing edges</dd> <dt>directed</dt>
<dd>logical indicator of directedness; TRUE=&gt;directed FALSE=&gt;undirected</dd> <dt>Y</dt>
<dd>input adjacency matrix</dd></dl>

Arguments

Author

calculate the missing edges as an edgelist from an adjacency matrix with NaNs indicating
missing links — Y_to_M

<dl>

 <dt>N</dt>
<dd>number of nodes</dd>

 <dt>NM</dt>
<dd>number of missing edges</dd>

 <dt>directed</dt>
<dd>logical indicator of directedness; TRUE=&gt;directed FALSE=&gt;undirected</dd>

 <dt>Y</dt>
<dd>input adjacency matrix</dd>

</dl>

Y_to_M: calculate the missing edges as an edgelist from an adjacency matrix with NaNs indicating missing links

Description

Usage

Value

Arguments

Author

See Also