CMP-ergmTerm: 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.

statnet/ergm.count documentation built on Feb. 21, 2024, 8:46 p.m.