This term adds one statistic equal to
\(\sum_{i,j<k} y_{i,j}y_{i,k}/(n-2)\) . This can be
viewed as a valued analog of the star(2)
statistic.
# valued: nodecovar(center, transform)
If center=TRUE
, the \(y_{\cdot,\cdot}\) s are
centered by their mean over the whole network before the
calculation. Note that this makes the model non-local, but it may
alleviate multimodailty.
If transform="sqrt"
,
\(y_{\cdot,\cdot}\) s are repaced by their square roots before the
calculation. This makes sense for counts in particular. If
center=TRUE
as well, they are centered by the mean of the
square roots.
ergmTerm
for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "nodecovar", "subsection")