This term adds one statistic equal to
\(\sum_{i,j,k} y_{j,i}y_{k,i}/(n-2)\) . This can be
viewed as a valued analog of the istar(2)
statistic.
# valued: nodeicovar(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", "nodeicovar", "subsection")