CMP-ergmTerm-4d501174: Conway-Maxwell-Poisson Distribution

In statnet/ergm.count: Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges

Conway-Maxwell-Poisson Distribution

Description

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.)

Usage

# valued: CMP

Details

Note that its current implementation may not perform well if the data are overdispersed relative to geometric.

See Also

ergmTerm for index of model terms currently visible to the package.

\Sexpr[results=rd,stage=render]{ergm:::.formatTermKeywords("ergmTerm", "CMP", "subsection")}

statnet/ergm.count documentation built on Nov. 6, 2024, 9:32 a.m.