The function ergm is used to fit linear
exponential
random graph models, in which
the probability of a given network, \(y\), on a set of nodes
is
\(\exp\{\theta{\cdot}g(y)\}/c(\theta)\), where
\(g(y)\) is a vector of network statistics for \(y\),
\(\theta\) is a parameter vector of the same
length and \(c(\theta)\) is the
normalizing constant for the distribution.
The network statistics \(g(y)\) are entered as terms in the
function call to ergm.
The ergm package contains a wide range of terms.
For the details on the possible
<model terms>, see ergm-terms.
The ergm.userterms package provides a template for
adding new terms.
The terms can be used throughout the ergm package
and behave identically to the supplied terms.