This term adds three statistics to the model, each equal to the sum of the
covariate values for all dyads occupying one of the three possible non-empty
dyad states (mutual, upper-triangular asymmetric, and lower-triangular
asymmetric dyads, respectively), with the empty or null state serving as a
reference category. If the network is undirected, x is either a
matrix of edgewise covariates, or a network; if the latter, optional
argument attrname provides the name of the edge attribute to use for
edge values. 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 and dyadcov terms are equivalent for undirected
networks.
# binary: dyadcov(x, attrname=NULL)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).
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "dyadcov", "subsection")