This term adds one statistic to the model, equal to the sum
of the covariate values for each edge appearing in the network. The
edgecov term applies to both directed and undirected networks. For
undirected networks the covariates are also assumed to be undirected. The
edgecov and dyadcov terms are equivalent for undirected
networks.
# binary: edgecov(x, attrname=NULL)# valued: edgecov(x, attrname=NULL, form="sum")
a specification for the dyadic covariate: either one of the following, or the name of a network attribute containing one of the following:
with dimensions \(n \times n\)
for unipartite networks and \(b \times (n-b)\) for
bipartite networks; attrname, if given, is used to construct
the term name.
with the same size and bipartitedness as
LHS; attrname, if given, provides the name of the
quantitative edge attribute to use for covariate values (in
this case, missing edges in x are assigned a covariate value
of zero).
how to aggregate tie values in a valued ERGM: "sum"
(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 "nonzero" with the
edge considered to be present if its value is not 0. See
ergmTerm for more information.
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "edgecov", "subsection")