R: Cyclical weights

cyclicalweights-ergmTerm {ergm} | R Documentation

## 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.

[Package ergm version 4.2.2 Index]