CMB-ergmTerm-5a51afe9: Conway-Maxwell-Binomial Distribution

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

Conway-Maxwell-Binomial Distribution

Description

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).

Usage

# valued: CMB(trials, coupled = TRUE)

Arguments

trails	model parameter
coupled	logical

See Also

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

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

statnet/ergm.count documentation built on June 17, 2024, 1:50 p.m.