b1cov-ergmTerm

InitErgmTerm.b1cov

InitWtErgmTerm.b1cov

This term adds a single network statistic for each quantitative attribute or matrix column to the model equaling the total
value of <code>attr(i)</code> for all edges \((i,j)\) in the network. This
term may only be used with bipartite networks. For categorical attributes,
see <code>b1factor</code> .

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

b1cov-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>form</dt>
<dd>character how to aggregate tie values in a valued ERGM</dd></dl>

Arguments

Main effect of a covariate for the first mode in a bipartite network — b1cov-ergmTerm

<dl>

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


<dt>form</dt>
<dd>character how to aggregate tie values in a valued ERGM</dd>

</dl>

Main effect of a covariate for the first mode in a bipartite network

b1cov-ergmTerm: Main effect of a covariate for the first mode in a bipartite network

Description

Usage

Arguments

See Also