R: Edge covariate

edgecov-ergmTerm {ergm} | R Documentation

## Edge covariate

### Description

This term adds one statistic to the model, equal to the sum of the covariate values for each edge appearing in the network. The `edgecov` term applies to both directed and undirected networks. For undirected networks the covariates are also assumed to be undirected. The `edgecov` and `dyadcov` terms are equivalent for undirected networks.

### Usage

    # binary: edgecov(x, attrname=NULL)

    # valued: edgecov(x, attrname=NULL, form="sum")

### Arguments

`x, attrname` | either a square matrix of covariates, one for each possible edge in the network, the name of a network attribute of covariates, or a network; if the latter, optional argument `attrname` provides the name of the quantitative edge attribute to use for covariate values (in this case, missing edges in `x` are assigned a covariate value of zero).
`form` | character how to aggregate tie values in a valued ERGM

### See Also

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

[Package ergm version 4.2.1 Index]