transitiveweights-ergmTerm-7797c57b: Transitive weights

In ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks

Transitive weights

Description

This statistic implements the transitive weights statistic defined by Krivitsky (2012), Equation 13. For each of these options, the first (and the default) is more stable but also more conservative, while the second is more sensitive but more likely to induce a multimodal distribution of networks.

Usage

# valued: transitiveweights(twopath="min", combine="max", affect="min")

Arguments

twopath	the minimum of the constituent dyads ( "min" ) or their geometric mean ( "geomean" )
combine	the maximum of the 2-path strengths ( "max" ) or their sum ( "sum" )
affect	the minimum of the focus dyad and the combined strength of the two paths ( "min" ) or their geometric mean ( "geomean" )

See Also

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

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

ergm documentation built on Oct. 7, 2024, 5:08 p.m.