Specifies each dyad's baseline distribution to be binomial with
trials trials and success probability of \(0.5\) :
\(h(y)=\prod_{i,j}{{\mathrm{trials}}\choose{y_{i,j}}}\) . Using
valued ERGM terms that are
"generalized" from their binary counterparts, with form
"sum" (see previous link for the list) produces logistic
regression.
# Binomial(trials)model parameter
ergmReference for index of reference distributions currently visible to the package.
ergm:::.formatTermKeywords("ergmReference", "Binomial", "subsection")