CMBL-ergmTerm

InitErgmTerm.CMBL

Models marginal dependence layers within each dyad by imposing
a Conway--Maxwell-Binomial (CMB) distribution on the number of
layers in each dyad that have a tie.
The term adds one statistic to the model, equalling the sum over
all the dyads in the network of \(\log\{E!(R-E)!/R!\}\) , where
\(E\) is the number of layers in <code>Ls</code> with an edge in that
dyad and \(R\) being the total number of layers in <code>Ls</code> .

A set of extensions for the 'ergm' package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. 'ergm.multi' is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2023) <doi:10.1080/01621459.2023.2242627>.

Pavel N. Krivitsky

ergm.multi

Fit, Simulate and Diagnose Exponential-Family Models for
Multiple or Multilayer Networks

Chad Klumb

Pietro Coletti

Joyce Cheng

CMBL-ergmTerm function

<dl><dt>Ls</dt>
<dd>a list (constructed by <code><a href="/link/list()?package=ergm.multi&version=0.2.1" data-mini-rdoc="ergm.multi::list()">list()</a></code> or <code><a href="/link/c()?package=ergm.multi&version=0.2.1" data-mini-rdoc="ergm.multi::c()">c()</a></code> of at least two Layer Logic specifications (c.f. Layer Logic section in the <code>Layer()</code> documentation).</dd></dl>

Arguments

Conway--Maxwell-Binomial dependence among layers — CMBL-ergmTerm

<dl>

<dt>Ls</dt>
<dd>a list (constructed by <code><a href='https://rdrr.io/r/base/list.html'>list()</a></code> or <code><a href='https://rdrr.io/r/base/c.html'>c()</a></code> of at least two Layer Logic specifications (c.f. Layer Logic section in the <code>Layer()</code> documentation).</dd>

</dl>

CMBL-ergmTerm: Conway--Maxwell-Binomial dependence among layers

Description

Usage

Arguments

Details

See Also