This term adds one statistic to the model, of the form \(\sum_{i,j}\log(y_{i,j}!)\) . This turns a Poisson- or a geometric-reference ERGM into a Conway-Maxwell-Poisson-reference ERGM, allowing it to represent a broad range of disperson values. In particular, combined with a Poisson-reference ERGM, a negative coefficient on this term induces underdispersion and a positive coefficient induces overdispersion. (This behavior is different from 3.1.1, when the negation of this value was used.)
# valued: CMPNote that its current implementation may not perform well if the data are overdispersed relative to geometric.
ergmTerm for index of model terms currently visible to the package.
ergm:::.formatTermKeywords("ergmTerm", "CMP", "subsection")