CMBL-ergmTerm-faa5fa2c: Conway-Maxwell-Binomial dependence among layers

In ergm.multi: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks

Conway–Maxwell-Binomial dependence among layers

Description

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 .

Usage

# 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.

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

ergm.multi documentation built on May 29, 2024, 11:07 a.m.