If couple==TRUE , this
term adds one statistic to the model, of the form
\(\sum_{i,j}\log(y_{i,j}!) + \log(t-y_{i,j}!)\) . This turns a Binomial- or a
discrete-uniform-reference ERGM into a Conway-Maxwell-Binomial-reference
ERGM, allowing it to represent a broad range of disperson
values. In particular, combined with a Binomial-reference ERGM, a
negative coefficient on this term induces underdispersion and a
positive coefficient induces overdispersion.
If coupled==FALSE the two summands above are added as their own
statistic (each with its own free parameter).
# valued: CMB(trials, coupled = TRUE)model parameter
logical
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "CMB", "subsection")