cyclicalweights-ergmTerm-994a6687: Cyclical weights

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

Cyclical weights

Description

This statistic implements the cyclical weights statistic, like that defined by Krivitsky (2012), Equation 13, but with the focus dyad being y_{j,i} rather than y_{i,j} . For each option, 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: cyclicalweights(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" )
affected	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", "cyclicalweights", "subsection")}

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