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 ostar(2) statistic.
# valued: nodeocovar(center, transform)whether 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", "nodeocovar", "subsection")