R: Alternating k-star

altkstar-ergmTerm {ergm} | R Documentation

## Alternating k-star

### Description

Add one network statistic to the model equal to a weighted alternating sequence of k-star statistics with weight parameter `lambda`.

### Usage

    # binary: altkstar(lambda,
    #                 fixed=FALSE)

### Arguments

`lambda` | weight parameter to model
`fixed` | indicates whether the `decay` parameter is fixed at the given value, or is to be fit as a curved exponential family model (see Hunter and Handcock, 2006). The default is `FALSE`, which means the scale parameter is not fixed and thus the model is a CEF model.

### Details

This is the version given in Snijders et al. (2006). The `gwdegree` and `altkstar` produce mathematically equivalent models, as long as they are used together with the `edges` (or `kstar(1)`) term, yet the interpretation of the `gwdegree` parameters is slightly more straightforward than the interpretation of the `altkstar` parameters. For this reason, we recommend the use of the `gwdegree` instead of `altkstar`. See Section 3 and especially equation (13) of Hunter (2007) for details.

### Note

This term can only be used with undirected networks.

### See Also

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

[Package ergm version 4.2.2 Index]