cyclicalweights-ergmTerm {ergm}

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.

Keywords

directed, nonnegative, undirected, valued