R: Geometrically weighted in-degree distribution

gwidegree-ergmTerm {ergm} | R Documentation

## Geometrically weighted in-degree distribution

### Description

This term adds one network statistic to the model equal to the weighted in-degree distribution with decay parameter `decay` parameter, which should be non-negative. This term can only be used with directed networks.

### Usage

    # binary: gwidegree(decay, fixed=FALSE, attr=NULL, cutoff=30, levels=NULL)

### Arguments

`decay` | nonnegative decay parameter for the indegree frequencies; required if `fixed=TRUE` and ignored with a warning otherwise.
`fixed` | optional argument indicating 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 curved exponential family.
`attr` | quantitative attribute (see Specifying Vertex attributes and Levels (`?nodal_attributes`) for details.)
`cutoff` | This optional argument sets the number of underlying degree terms to use in computing the statistics when `fixed=FALSE`, in order to reduce the computational burden. Its default value can also be controlled by the `gw.cutoff` term option control parameter. (See `?control.ergm`.)
`levels` | TODO (See Specifying Vertex attributes and Levels (`?nodal_attributes`) for details.)

### See Also

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

[Package ergm version 4.2.2 Index]