CMBL-ergmTerm-faa5fa2c function

Conway--Maxwell-Binomial dependence among layers

Models marginal dependence layers within each dyad by imposing a Conway--Maxwell-Binomial (CMB) distribution on the number of layers in each dyad that have a tie.

The term adds one statistic to the model, equalling the sum over all the dyads in the network of $\log\{E!(R-E)!/R!\}$ , where $E$ is the number of layers in Ls with an edge in that dyad and $R$ being the total number of layers in Ls .

# binary: CMBL(Ls=~.)

Arguments

• Ls: a list (constructed by list() or c() of at least two Layer Logic specifications (c.f. Layer Logic section in the Layer() documentation).

Details

A positive coefficient induces positive dependence and a negative one induces negative dependence.

See Also

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

ergm:::.formatTermKeywords("ergmTerm", "CMBL", "subsection")