attrcov-ergmTerm

InitErgmTerm.attrcov

InitWtErgmTerm.attrcov

This term adds one statistic to the model, equal to the sum of the covariate values
for each edge appearing in the network, where the covariate value for a given edge is determined by its mixing type on
<code>attr</code>. Undirected networks are regarded as having undirected mixing, and it is assumed that <code>mat</code> is symmetric
in that case.
This term can be useful for simulating large networks with many mixing types, where <code>nodemix</code> would be slow due to
the large number of statistics, and <code>edgecov</code> cannot be used because an adjacency matrix would be too big.

An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.

Pavel N. Krivitsky

ergm

Fit, Simulate and Diagnose Exponential-Family Models for
Networks

Martina Morris

Li Wang

Kirk Li

Skye Bender-deMoll

Chad Klumb

Michał Bojanowski

Ben Bolker

Christian Schmid

Joyce Cheng

Arya Karami

Adrien Le Guillou

attrcov-ergmTerm function

<dl><dt>attr</dt>
<dd>a vertex attribute specification (see Specifying Vertex attributes and Levels (<code>?nodal_attributes</code>) for details.)</dd>
<dt>mat</dt>
<dd>a matrix of covariates with the same dimensions as a mixing matrix for <code>attr</code></dd>
<dt>form</dt>
<dd>how to aggregate tie values in a valued ERGM: <code>"sum"</code>
(the default) for a statistic of the form \(\sum_{i,j} x_{i,j}
 y_{i,j}\), where \(y_{i,j}\) is
the value of dyad \((i,j)\) and \(x_{i,j}\) is the
term's covariate associated with it; and <code>"nonzero"</code> with the
edge considered to be present if its value is not 0. See
<code>ergmTerm</code> for more information.</dd></dl>

Arguments

Edge covariate by attribute pairing — attrcov-ergmTerm

<dl>

<dt>attr</dt>
<dd>a vertex attribute specification (see Specifying Vertex attributes and Levels (<code>?nodal_attributes</code>) for details.)</dd>


<dt>mat</dt>
<dd>a matrix of covariates with the same dimensions as a mixing matrix for <code>attr</code></dd>


<dt>form</dt>
<dd>how to aggregate tie values in a valued ERGM: <code>"sum"</code>
(the default) for a statistic of the form \(\sum_{i,j} x_{i,j}
 y_{i,j}\), where \(y_{i,j}\) is
the value of dyad \((i,j)\) and \(x_{i,j}\) is the
term's covariate associated with it; and <code>"nonzero"</code> with the
edge considered to be present if its value is not 0. See
<code>ergmTerm</code> for more information.</dd>

</dl>

Edge covariate by attribute pairing

Last chance! 50% off unlimited learning

attrcov-ergmTerm: Edge covariate by attribute pairing

Description

Usage

Arguments

See Also