R: Main effect of a covariate for the first mode in a bipartite...

b1cov-ergmTerm {ergm} | R Documentation

## Main effect of a covariate for the first mode in a bipartite network

### Description

This term adds a single network statistic for each quantitative attribute or matrix column to the model equaling the total value of `attr(i)` for all edges /eqn(i,j) in the network. This term may only be used with bipartite networks. For categorical attributes, see `b1factor` .

### Usage

    # binary: b1cov(attr)

    # valued: b1cov(attr, form="sum")

### Arguments

`attr` | quantitative attribute (see Specifying Vertex attributes and Levels (`?nodal_attributes`) for details.)
`form` | character how to aggregate tie values in a valued ERGM

### Note

ergm versions 3.9.4 and earlier used different arguments for this term. See `ergm-options` for how to invoke the old behaviour.

### See Also

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

[Package ergm version 4.2.2 Index]